创新成果

产学研医协同创新

加速临床、科研成果转化

未来

新冠肺炎影像学诊断规范及智能服务

2023

基于人工智能的心血管病多模态影像诊断体系研究

阿尔茨海默病智能诊疗一体化机器人的研发

阿尔茨海默病智能辅助早期诊断与评价研究

基于人工智能的多模态跨尺度影像评估颈动脉粥样硬化斑块易损性研究

基于精神影像体系的MR诊疗一体化装备研制

基于新一代人工智能技术的婴幼儿动态脑图谱绘制及语言和社会情绪的发育机制研究

2022

中国学龄儿童脑智发育队列研究

新冠肺炎影像学诊断规范及智能服务

2021

脑卒中相关血管床粥样硬化斑块的一体化磁共振成像与智能诊断

2019

基于影像云平台的全数据链智能医疗新型服务模式

2018

打印

2023

Journals

Zhang Y, Lin N, Xiao H, Xin E, Sha Y. Differentiation of Sinonasal NKT From Diffuse Large B-Cell Lymphoma Using Machine Learning and MRI-Based Radiomics. Journal of Computer Assisted Tomography. 2023; N/A ( DOI: 10.1097/RCT.0000000000001497)

Liu Y, Yin P, Cui J, Sun C, Chen L, Hong N. Postoperative Relapse Prediction in Patients With Ewing Sarcoma Using Computed Tomography-Based Radiomics Models Covering Tumor Per Se and Peritumoral Signatures. Journal of Computer Assisted Tomography. 2023; N/A (PMID: 37264488)

Zeng P, Qu C, Liu J, Cui J, Liu X, Xiu D, Yuan H. Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. Acta Radiologica. 2023; 64(7):2221-2228 (PMID: 36474439)

Liu M, Zhang H, Shi F, Shen D. Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Transactions on Neural Networks and Learning Systems?. 2023; 1月13日 (PMID: 37339027)

Zhang J, Cui Z, Jiang C, Guo S, Gao F, Shen D. Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images. IEEE Transactions on Neural Networks and Learning Systems?. 2023; 1月13日 (PMID: 37159324)

Ma C, Zhao L, Chen Y, Guo L, Zhang T, Hu X, Shen D, Jiang X, Liu T. Rectify ViT Shortcut Learning by Visual Saliency. IEEE Transactions on Neural Networks and Learning Systems?. 2023; 1月13日 (PMID: 37703160)

Liu Y, Li H, Luo T, Zhang C, Xiao Z, Wei Y, Gao Y, Shi F, Shan F, Shen D. Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Transactions on Medical Imaging. 2023; 42(2):557-567 (PMID: 36459600)

Hou H, Xu J, Hou Y, Hu X, Wei B, Shen D. Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. IEEE Transactions on Image Processing. 2023; 32:1184-1199 (PMID: 37022430)

Li J, Zhang P, Wang T, Zhu L, Liu R, Yang X, Wang K, Shen D, Sheng B. DSMT-Net: Dual Self-supervised Multi-operator Transformation for Multi-source Endoscopic Ultrasound Diagnosis. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37368810)

10.

Ke J, Liu K, Sun Y, Xue Y, Huang J, Lu Y, Dai J, Chen Y, Han X, Shen Y, Shen D. Artifact Detection and Restoration in Histology Images with Stain-Style and Structural Preservation. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37352087)

11.

Li Y, Zhou T, He K, Zhou Y, Shen D. Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37339020)

12.

Ma C, Zhao L, Chen Y, Wang S, Guo L, Zhang T, Shen D, Jiang X, Liu T. Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37335796)

13.

Jiang C, Pan Y, Cui Z, Nie D, Shen D. Semi-supervised Standard-dose PET Image Generation via Region-adaptive Normalization and Structural Consistency Constraint. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37141060)

14.

Yao L, Shi F, Wang S, Zhang X, Xue Z, Cao X, Zhan Y, Chen L, Chen Y, Song B, Wang Q, Shen D. TaG-Net: Topology-aware Graph Network for Centerline-based Vessel Labeling. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37022246)

15.

Yang J, Li XX, Liu F, Nie D, Lio P, Qi H, Shen D. Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Transactions on Medical Imaging. 2023; 42(5):1363-1373 (PMID: 37015608)

16.

Liu R, Wang T, Li H, Zhang P, Li J, Yang X, Shen D, Sheng B. TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. IEEE Transactions on Medical Imaging. 2023; 42(4):1083-1094 (PMID: 36409801)

17.

Wang C, Cui Z, Yang J, Han M, Carneiro G, Shen D. BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Transactions on Medical Imaging. 2023; 42(4):1225-1236 (PMID: 36449590)

18.

Shen Y, Sowmya A, Luo Y, Liang X, Shen D, Ke J. A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Transactions on Medical Imaging. 2023; 42(7):1969-1981 (PMID: 36374876)

19.

Mei L, Fang Y, Zhao Y, Zhou XS, Zhu M, Cui Z, Shen D. DTR-Net: Dual-space 3D Tooth Model Reconstruction from Panoramic X-ray Images. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37751352)

20.

Sun K, Wang Q, Shen D. Joint Cross-Attention Network with Deep Modality Prior for Fast MRI Reconstruction. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37695966)

21.

Li Y, Shen Y, Zhang J, Song S, Li Z, Ke J, Shen D. A Hierarchical Graph V-Net with Semi-supervised Pre-training for Histological Image based Breast Cancer Classification. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37725717)

22.

Zhang J, Cui Z, Zhou L, Sun Y, Li Z, Liu Z, Shen D. Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification with Iterative Cycle-consistent Semi-supervised Learning. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37756174)

23.

Zhang X, Sun K, Wu D, Xiong X, Liu J, Yao L, Li S, Wang Y, Feng J, Shen D. An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Transactions on Medical Imaging. 2023; N/A (PMID: 37756173)

24.

Ke J, Lu Y, Shen Y, Zhu J, Zhou Y, Huang J, Yao J, Liang X, Guo Y, Wei Z, Liu S, Huang Q, Jiang F, Shen D. ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Analysis. 2023; 85:102758 (PMID: 36731275)

25.

Shen Z, Ouyang X, Xiao B, Cheng JZ, Shen D, Wang Q. Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection. Medical Image Analysis. 2023; 84:102708 (PMID: 36516554)

26.

Tang L, Tian C, Yang H, Cui Zh, Hui Y, Xu K, Shen D. TS-DSANN: Texture and Shape focused Dual-Stream Attention Neural Network for Benign-Malignant Diagnosis of Thyroid Nodules in Ultrasound Images. Medical Image Analysis. 2023; N/A (DOI: 10.1016/j.media.2023.102905)

27.

Zhang S, Chen X, Shen X, Ren B, Yu Z, Yang H, Jiang X, Shen D, Zhou Y, Zhang XY. A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders. Medical Image Analysis. 2023; 90:102932 (PMID: 37657365)

28.

Wang Y, Luo Y, Zu C, Zhan B, Jiao Z, Wu X, Zhou J, Shen D, Zhou L. 3D Multi-Modality Transformer-GAN for High-quality PET Reconstruction. Medical Image Analysis. 2023; N/A (DOI: https://doi.org/10.1016/j.media.2023.102983)

29.

Jiao Z, Peng X, Wang Y, Xiao J, Nie D, Wu X, Wang X, Zhou J, Shen D. TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification. Medical Image Analysis. 2023; 89:102902 (PMID: 37482033)

30.

Liao S, Mo Z, Zeng M, Wu J, Gu Y, Li G, Quan G, Lv Y, Liu L, Yang C, Wang X, Huang X, Zhang Y, Cao W, Dong Y, Wei Y, Zhou Q, Xiao Y, Zhan Y, Zhou X S, Shi F, Shen D. Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction. Cell Reports Medicine. 2023; 4(7):101119-101137 (DOI: 10.1016/j.xcrm.2023.101119)

31.

Zhang J, Wu J, Zhou XS, Shi F, Shen D. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches. Seminars in cancer biology. 2023; 96:11-25 (PMID: 37704183)

32.

Cao B, Bi Z, Hu Q, Zhang H, Wang N, Gao X, Shen D. AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. International Journal of Computer Vision?. 2023; 131:1995–2014 (DOI: 10.1007/s11263-023-01791-0)

33.

Yin P, Zhong J, Liu Y, Liu T, Sun C, Liu X, Cui J, Chen L, Hong N. Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma. BMC Medical Imaging. 2023; 23(1):40 (PMID: 36959569)

34.

Qin S, Jiang Y, Wang F, Tang L, Huang X. Development and validation of a combined model based on dual-sequence MRI radiomics for predicting the efficacy of high-intensity focused ultrasound ablation for hysteromyoma. International Journal of Hyperthermia. 2023; 40(1):2149862 (DOI: 10.1080/02656736.2022.2149862)

35.

Yu H, Zhang C, Cai Y, Wu N, Jia X, Wu J, Shi F, Hua R, Yang Q. Morphological brain alterations in dialysis- and non-dialysis-dependent patients with chronic kidney disease. Metabolic brain disease. 2023; - (PMID: 36642760)

36.

Liu M, Cui L, Zhao Z, Ren S, Huang L, Guan Y, Guo Q, Xie F, Huang Q, Shen D. Verifying and refining early statuses in Alzheimer's disease progression: a possibility from deep feature comparison. Cerebral Cortex. 2023; N/A (PMID: 37833708)

37.

Hu J, Cui Z, Zhang X, Zhang J, Ge Y, Zhang H, Lu Y, Shen D. Uncertainty-aware refinement framework for ovarian tumor segmentation in CECT volume. Medical Physics. 2023; N/A (PMID: 37862556)

38.

Ma Y, Shi F, Sun T, Chen H, Cheng H, Liu X, Wu S, Lu J, Zou Y, Zhang J, Jin L, Shen D, Wu J. Histopathological auxiliary system for brain tumour (HAS-Bt) based on weakly supervised learning using a WHO CNS5-style pipeline. Journal of neuro-oncology. 2023; 163(1):71-82 (PMID: 37173511)

39.

Yuan J, Hassan SS, Wu J, Koger CR, Packard RRS, Shi F, Fei B, Ding Y. Extended reality for biomedicine. Nature Reviews Methods Primers. 2023; 3 (PMID: 37051227)

40.

Sun H, Wang X, Li Z, Liu A, Xu S, Jiang Q, Li Q, Xue Z, Gong J, Chen L, Xiao Y, Liu S. Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. Journal of digital imaging. 2023; N/A (PMID: 37407842)

41.

Jiao T, Li F, Cui Y, Wang X, Li B, Shi F, Xia Y, Zhou Q, Zeng Q. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images. Journal of Magnetic Resonance Imaging. 2023; N/A (PMID: 36965182)

42.

Yan Q, Li F, Cui Y, Wang Y, Wang X, Jia W, Liu X, Li Y, Chang H, Shi F, Xia Y, Zhou Q, Zeng Q. Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm. Journal of digital imaging. 2023; N\A (PMID: 37156977)

43.

Jiang Z, Cai X, Yang L, Gao D, Zhao W, Han J, Liu J, Shen D, Liu T. Learning to Summarize Chinese Radiology Findings with a Pre-trained Encoder. IEEE Transactions on Biomedical Engineering. 2023; N/A (N/A)

44.

Cao T, Lin R, Zheng Y, Shen D, Xu L. A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection. IEEE Transactions on Biomedical Engineering. 2023; 1月10日 (PMID: 37436866)

45.

Zeng Z, Zhao T, Sun L, Zhang Y, Xia M, Liao X, Zhang J, Shen D, Wang L, He Y. 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images. Human Brain Mapping. 2023; 44(4):1779-1792 (PMID: 36515219)

46.

Lin M, Lin N, Yu S, Sha Y, Zeng Y, Liu A, Niu Y. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram. Academic Radiology. 2023; N/A (DOI: 10.1016/j.acra.2022.11.013)

47.

Yu R, Pan C, Bian L, Fei X, Chen M, Shen D. Sparsity-guided multiple functional connectivity patterns for classification of schizophrenia via convolutional network. Human Brain Mapping. 2023; 1– 12 (PMID: 37318814)

48.

Zhang S, Liu M, Li S, Cui J, Zhang G, Wang X. An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023; 23(1):72 (PMID: 37488622)

49.

Chen S, Song D, Chen L, Guo T, Jiang B, Liu A, Pan X, Wang T, Tang H, Chen G, Xue Z, Wang X, Zhang N, Zheng J. Artificial intelligence-based non-invasive tumor segmentation, grade stratification and prognosis prediction for clear-cell renal-cell carcinoma. Precision Clinical Medicine. 2023; 6(3):1-10 (DOI: 10.1093/pcmedi/pbad019)

50.

Li Y, Deng W, Zhou Y, Luo Y, Wu Y, Wen J, Cheng L, Liang X, Wu T, Wang F, Huang Z, Tan C, Liu Y. A nomogram based on clinical factors and CT radiomics for predicting anti-MDA5+ DM complicated by RP-ILD. Rheumatology. 2023; N/A (PMID: 37267146)

51.

Liu F, Yang J, Feng M, Cui Z, He X, Zhou L, Feng J, Shen D. Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?. Computerized Medical Imaging and Graphics. 2023; 103:102160 (PMID: 36528017)

52.

Gao X, Shi F, Shen D, Liu M. Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Computerized Medical Imaging and Graphics. 2023; 110:102303 (PMID: 37832503)

53.

Jin L, Sun T, Liu X, Cao Z, Liu Y, Chen H, Ma Y, Zhang J, Zou Y, Liu Y, Shi F, Shen D, Wu J. A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images. iScience. 2023; 26(11):1-12 (DOI: https://doi.org/10.1016/j.isci.2023.108041)

54.

Liu M, Zhang J, Wang Y, Zhou Y, Xie F, Guo Q, Shi F, Zhang H, Wang Q, Shen D. A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks. iScience. 2023; N/A (DOI: https://doi.org/10.1016/j.isci.2023.108244)

55.

Liu Y, He C, Fang W, Peng L, Shi F, Xia Y, Zhou Q, Zhang R, Li C. Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT. European Radiology. 2023; N\A (PMID: 37266658)

56.

Ke J, Shen Y, Lu Y, Guo Y, Shen D. Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Computer Methods and Programs in Biomedicine. 2023; 235:107520 (PMID: 37031665)

57.

Zhang J, Cui Z, Shi Z, Jiang Y, Zhang Z, Dai X, Yang Z, Gu Y, Zhou L, Han C, Huang X, Ke C, Li S, Xu Z , Gao F, Zhou L, Wang R, Liu J, Zhang J, Ding Z, Sun K, Li Z, Liu Z, Shen D . A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns. 2023; 100826 (DOI: https://doi.org/10.1016/j.patter.2023.100826)

58.

Yu Z, Han X, Xu W, Zhang J, Marr C, Shen D, Peng T, Zhang XY, Feng J. A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans. Elife. 2023; 11:e81217 (PMID: 36546674)

59.

Yang J, Li X, Chen J, Xue Z, Shi F, Ji Y, Wang X, Yang F. Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Computers in Biology and Medicine. 2023; 0010-4825 (N/A)

60.

Lu Z, Wang J, Li Z, Ying S, Wang J, Shi J, Shen D. Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE Journal of Biomedical and Health Informatics. 2023; 27(7):3337-3348 (PMID: 37126622)

61.

Yu R, Zhang H, Wu X, Fei X, Yang Q, Ma Z, Qi Z, Zang D, Tang W, Mao Y, Shen D. Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE Journal of Biomedical and Health Informatics. 2023; 27(1):469-479 (PMID: 36318552)

62.

Wang X, Wang J, Shan F, Zhan Y, Shi J, Shen D. Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Computers in Biology and Medicine. 2023; 159:106890 (PMID: 37116240)

63.

Li C, Liu M, Xia J, Mei L, Yang Q, Shi F, Zhang H, Shen D. Individualized assessment of brain Aβ deposition with fMRI using deep learning. IEEE Journal of Biomedical and Health Informatics. 2023; 1月12日 (PMID: 37616143)

64.

Han X, Wang J, Ying S, Shi J, Shen D. ML-DSVM+: A meta-learning based deep SVM+ for Computer-Aided diagnosis. Pattern Recognition. 2023; 134:109076 (DOI: 10.1016/j.patcog.2022.109076)

65.

Zhou T, Zhou Y, He K, Gong C, Yang J, Fu H, Shen D. Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognition. 2023; 140:109555 (DOI: 10.1016/j.patcog.2023.109555)

66.

Ren S, Pan Y, Li J, Huang L, Cui L, Jiang D, Huang Q, Guan Y, Guo Q, Shen D, Xie F. The necessary of ternary amyloid classification for clinical practice: An alternative to the binary amyloid definition. View. 2023; N/A (DOI: 10.1002/VIW.20220080)

67.

Qian X, Zhou C, Wang F, Lu X, Zhang Y, Chen L, Zeng M. Development and validation of combined Ki67 status prediction model for intrahepatic cholangiocarcinoma based on clinicoradiological features and MRI radiomics. ?La Radiologia medica. 2023; 128(3):274-288 (PMID: 36773271)

68.

Yang W, Chen C, Yang Y, Chen L, Yang C, Gong L, Wang J, Shi F, Wu D, Yan F. Diagnostic performance of deep learning-based vessel extraction and stenosis detection on coronary computed tomography angiography for coronary artery disease: a multi-reader multi-case study. ?La Radiologia medica. 2023; Online ahead of print (PMID: 36800112)

69.

刘颖, 魏小琴, 王芳, 赖策, 余林泽, 喻洁, 陈晓文, 杜勇. 基于CT影像组学预测肝细胞癌 TACE术后疗效. 临床放射学杂志. 2023; 42(02):311-316 (DOI: 10.13437/j.cnki.jcr.2023.02.030.)

70.

Wu J, Xia Y, Wang X, Wei Y, Liu A, Innanje A, Zheng M, Chen L, Shi J, Wang L, Zhan Y, Zhou XS, Xue Z, Shi F, Shen D. uRP：An integrated research platform for one-stop analysis of medical images. Frontiers in Radiology. 2023; Volume 3 (DOI: 10.3389/fradi.2023.1153784)

71.

Liu Y, Han T, Ma S, Zhang J, Yang Y, Tian J, He H, Li A, He M, Liu Z, Wu Z, Zhao L, Zhu D, Li X, Qiang N, Shen D, Liu T, Ge B. Summary of ChatGPT-Related research and perspective towards the future of large language models. Meta-radiology. 2023; 1(2) (DOI: 10.1016/j.metrad.2023.100017)

72.

Zhang J, Sun K, Yang J, Hu Y, Gu Y, Cui Z, Zong X, Gao F, Shen D. A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis. communications engineering. 2023; 2:1-13 (DOI: 10.1038/s44172-023-00121-z)

Conferences

73.

Xu X, Wei Y, Zheng J, Ding Z, Zhan Y, Zhou S, Xue Z, Shi, F, Shen D. Multi-scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest CT Scans. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; N/A (N/A)

74.

Jiang C, Pan Y, Wang T, Chen Q, Yang J, Ding L, Liu J, Ding Z, Shen D. S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage. International Conference on Information Processing in Medical Imaging. 2023; 375–387 (DOI: 10.1007/978-3-031-34048-2_29)

75.

Huang S, Chen G, Sun K, Cui Z, Zhang X, Xue P, Zhang X, Zhang H, Shen D. Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. International Conference on Information Processing in Medical Imaging. 2023; 428–441 (DOI: 10.1007/978-3-031-34048-2_33)

76.

Jiang C, Pan Y, Shen D. TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月5日 (DOI: 10.1109/ISBI53787.2023.10230514)

77.

Meng R, Zhang X, Huang S, Gu Y, Wu G, Liu G, Shen D. Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月4日 (DOI: 10.1109/ISBI53787.2023.10230556)

78.

Liu J, Zhang X, Gu D, Ouyang X, Zhang J, He X, Shen D, Xue Z. Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月4日 (DOI: 10.1109/ISBI53787.2023.10230772)

79.

Zhang Y, Sun K, Liu Y, Shen D. Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月5日 (DOI: 10.1109/ISBI53787.2023.10230577)

80.

Tan M, Fang Y, Ma L, Zhang Y, Cui Z, Shen D. Dental Anatomy Segmentation from Cone Beam CT Images. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月4日 (DOI: 10.1109/ISBI53787.2023.10230393)

81.

Liu X, Liu M, Mei L, Zhang Y, Shi F, Zhang H, Shen D. Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月5日 (DOI: 10.1109/ISBI53787.2023.10230391)

82.

Liu Y, Liu M, Zhang Y, Shen D. Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月5日 (DOI: 10.1109/ISBI53787.2023.10230532)

83.

Li X, Ouyang X, Zhang J, Gu D, Cao Z, Ding Z, Zhan Y, Zhou X, Xue Z, Zhang Y, Shi F, Shen D. MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. IEEE 20th International Symposium on Biomedical Imaging (ISBI). 2023; 1月4日 (DOI: 10.1109/ISBI53787.2023.10230750)

84.

TZhuang Z, Wang X, Wang S, Shen Z, Zhao X, Liu M, Xue Z, Shen D, Zhang L, Wang Q. CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 110–119 (DOI: 10.1007/978-3-031-43901-8_11)

85.

Han Z, Wang Y, Zhou L, Wang P, Yan B, Zhou J, Wang Y, Shen D. Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 239–249 (DOI: 10.1007/978-3-031-43999-5_23)

86.

Cui J, Zeng P, Zeng X, Wang P, Wu X, Zhou J, Wang Y, Shen D. TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 184–194 (DOI: 10.1007/978-3-031-43999-5_18)

87.

Qiu Y, Li Z, Wang Y, Dong P, Wu D, Yang X, Hong Q, Shen D. CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 670–680 (DOI: 10.1007/978-3-031-43898-1_64)

88.

Wu H, Zhang J, Fang Y, Liu Z, Wang N, Cui Z, Shen D. Multi-view Vertebra Localization and Identification from CT Images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 136–145 (DOI: 10.1007/978-3-031-43904-9_14)

89.

Zhang X, Liu F, Gu Y, Xiong X, Jiang C, Feng J, Shen D. SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 791–801 (DOI: 10.1007/978-3-031-43990-2_74)

90.

Zhou W, Zhang X, Gu D, Wang S, Huo J, Zhang R, Jiang Z, Shi F, Xue Z, Zhan Y, Ouyang X, Shen D. HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 551–560 (DOI: 10.1007/978-3-031-43898-1_53)

91.

Mei L, Fang Y, Cui Z, Deng K, Wang N, He X, Zhan Y, Zhou X, Tonetti M, Shen D. HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 54–63 (DOI: 10.1007/978-3-031-43987-2_6)

92.

Ji C, Du C, Zhang Q, Wang S, Ma C, Xie J, Zhou Y, He H, Shen D. Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 68–78 (DOI: 10.1007/978-3-031-43990-2_7)

93.

Liu Y, Liu M, Zhang Y, Shen D. Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 99–108 (DOI: 10.1007/978-3-031-43993-3_10)

94.

Jiang C, Pan Y, Liu M, Ma L, Zhang X, Liu J, Xiong X, Shen D. PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 3–12 (DOI: 10.1007/978-3-031-43907-0_1)

95.

Liu J, Liu F, Sun K, Liu M, Sun Y, Ge Y, Shen D. Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 56–66 (DOI: 10.1007/978-3-031-43901-8_6)

96.

Li M, Sun K, Gu Y, Zhang K, Sun Y, Li Z, Shen D. Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 89–96 (DOI: 10.1007/978-3-031-43990-2_9)

97.

Pan Y, Liu F, Jiang C, Huang J, Xia Y, Shen D. Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2023; 24–33 (DOI: 10.1007/978-3-031-43999-5_3)

2022

Journals

98.

Liu X, Wu D, Xie H, Xu Y, Liu L, Tao X, Wang X. Clinical evaluation of AI software for rib fracture detection and its impact on junior radiologist performance. Acta Radiologica. 2022; 63(11):1535-1545 (PMID: 34617809)

99.

Lian C, Liu M, Wang L, Shen D. Multi-Task Weakly-Supervised attention network for dementia status estimation with structural MRI. IEEE Transactions on Neural Network and Learning Systems. 2022; 33(8):4056-4068 (PMID: 33656999)

100.

Niu S, Gao K, Ma P, Gao X, Zhao H, Dong J, Chen Y, Shen D. Exploiting sparse Self-Representation and particle swarm optimization for CNN compression. IEEE Transactions on Neural Network and Learning Systems. 2022; Online ahead of print (PMID: 35439146)

101.

Xu G, Liu C, Liu J, Ding Z, Shi F, Guo M, Zhao W, Li X, Wei Y, Gao Y, Ren C, Shen D. Cross-Site severity assessment of COVID-19 from CT images via domain adaptation. IEEE Transactions on Medical Imaging. 2022; 41(1):88-102 (PMID: 34383647)

102.

Zhang J, Zhou L, Wang L, Liu M, Shen D. Diffusion kernel attention network for brain disorder classification. IEEE Transactions on Medical Imaging. 2022; 41(10):2814-2827 (PMID: 35471877)

103.

Zhao Y, Zhang L, Liu Y, Meng D, Cui Z, Gao C, Gao X, Lian C, Shen D. Two-Stream graph convolutional network for Intra-Oral scanner image segmentation. IEEE Transactions on Medical Imaging. 2022; 41(4):826-835 (PMID: 34714743)

104.

Wu T, Lian C, Lee S, Pastewait M, Piers C, Liu J, Wang F, Wang L, Chiu C, Wang W, Jackson C, Chao W, Shen D, Ko C. Two-Stage mesh deep learning for automated tooth segmentation and landmark localization on 3D intraoral scans. IEEE Transactions on Medical Imaging. 2022; 41(11):3158-3166 (PMID: 35666796)

105.

Zhuang Z, Si L, Wang S, Xuan K, Ouyang X, Zhan Y, Xue Z, Zhang L, Shen D, Yao W, Wang Q. Knee cartilage defect assessment by graph representation and surface convolution. IEEE Transactions on Medical Imaging. 2022; Online ahead of print (PMID: 36094985)

106.

Shen Y, Shen D, Ke J. Identify representative samples by conditional random field of cancer histology images. IEEE Transactions on Medical Imaging. 2022; 41(12):3835-3848 (PMID: 35951579)

107.

Wang S, Ouyang X, Liu T, Wang Q, Shen D. Follow my eye: Using gaze to supervise Computer-Aided diagnosis. IEEE Transactions on Medical Imaging. 2022; 41(7):1688-1698 (PMID: 35085074)

108.

Xuan K, Xiang L, Huang X, Zhang L, Liao S, Shen D, Wang Q. Multimodal MRI reconstruction assisted with spatial alignment network. IEEE Transactions on Medical Imaging. 2022; 41(9):2499-2509 (PMID: 35363610)

109.

Chen E, Wang P, Chen X, Chen T, Sun S.. Pyramid convolutional RNN for MRI image reconstruction. IEEE Transactions on Medical Imaging. 2022; 41(8):2033-2047 (PMID: 35192462)

110.

Gong X, Song L, Vedula R, Sharma A, Zheng M, Planche B, Innanje A, Chen T, Yuan J, Doermann D, Wu Z. Federated learning with Privacy-Preserving ensemble attention distillation. IEEE Transactions on Medical Imaging. 2022; Online ahead of print (PMID: 36215346)

111.

Han X, Fei X, Wang J, Zhou T, Ying S, Shi J, Shen D. Doubly supervised transfer classifier for Computer-Aided diagnosis with imbalanced modalities. IEEE Transactions on Medical Imaging. 2022; 41(8):2009-2020 (PMID: 35171766)

112.

Shi F, Chen B, Cao Q, Wei Y, Zhou Q, Zhang R, Zhou Y, Yang W, Wang X, Fang R, Yang F, Chen Y, Li Y, Gao Y, Shen D. Semi-Supervised deep transfer learning for Benign-Malignant diagnosis of pulmonary nodules in chest CT images. IEEE Transactions on Medical Imaging. 2022; 41(4):771-781 (PMID: 34705640)

113.

Luo Y, Zhou L, Zhan B, Fei Y, Zhou J, Wang Y, Shen D. Adaptive rectification based adversarial network with spectrum constraint for High-Quality PET image synthesis. Medical Image Analysis. 2022; 77:102335 (PMID: 34979432)

114.

Huang P, Li D, Jiao Z, Wei D, Cao B, Mo Z, Wang Q, Zhang H, Shen D. Common feature learning for brain tumor MRI synthesis by Context-Aware generative adversarial network. Medical Image Analysis. 2022; 79:102472 (PMID: 35567847)

115.

Wang J, Zhang F, Jia X, Wang X, Zhang H, Ying S, Wang Q, Shi J, Shen D. Multi-Class ASD classification via label distribution learning with Class-Shared and Class-Specific decomposition. Medical Image Analysis. 2022; 75:102294 (PMID: 34826797)

116.

Huo J, Ouyang X, Si L, Xuan K, Wang S, Yao W, Liu Y, Xu J, Qian D, Xue Z, Wang Q, Shen D, Zhang L. Automatic grading assessments for knee MRI cartilage defects via Self-Ensembling Semi-Supervised learning with Dual-Consistency. Medical Image Analysis. 2022; 80:102508 (PMID: 35759870)

117.

Cao X, Chen H, Li Y, Peng Y, Zhou Y, Cheng L, Liu T, Shen D. Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound. Medical Image Analysis. 2022; 82:102589 (PMID: 36095905)

118.

Lian C, Liu M, Pan Y, Shen D. Attention-Guided hybrid network for dementia diagnosis with structural MR images. IEEE Transactions on Cybernetics. 2022; 52(4):1992-2003 (PMID: 32721906)

119.

Zhang Y, Zhang H, Adeli E, Chen X, Liu M, Shen D. Multiview feature learning with Multiatlas-Based functional connectivity networks for MCI diagnosis. IEEE Transactions on Cybernetics. 2022; 52(7):6822-6833 (PMID: 33306476)

120.

Tang C, Liu C, Lu M, Schoepf U, Tesche C, Bayer R, Hudson H, Zhang X, Li J, Wang Y, Zhou C, Zhang J, Yu M, Hou Y, Zheng M, Zhang B, Zhang D, Yi Y, Ren Y, Li C, Zhao X, Lu G, Hu X, Xu L, Zhang L. CT FFR for Ischemia-Specific CAD with a new computational fluid dynamics algorithm: A Chinese multicenter study. JACC. Cardiovascular Imaging. 2022; 15(9):1682 (PMID: 31422138)

121.

Yin S, Luo X, Yang Y, Shao Y, Ma L, Lin C, Yang Q, Wang D, Luo Y, Mai Z, Fan W, Zheng D, Li J, Cheng F, Zhang Y, Zhong X, Shen F, Shao G, Wu J, Sun Y, Luo H, Li C, Gao Y, Shen D, Zhang R, Xie C. Development and validation of a Deep-Learning model for detecting brain metastases on 3D Post-Contrast MRI: A Multi-Center Multi-Reader evaluation study. Neuro-Oncology. 2022; 24(9):1559-1570 (PMID: 35100427)

122.

Luo X, Yang Y, Yin S, Li H, Zhang W, Xu G, Fan W, Zheng D, Li J, Shen D, Gao Y, Shao Y, Ban X, Li J, Lian S, Zhang C, Ma L, Lin C, Luo Y, Zhou F, Wang S, Sun Y, Zhang R, Xie C. False-Negative and False-Positive outcomes of Computer-Aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study. Neuro-Oncology. 2022; noac192 (PMID: 35943350)

123.

Shi F, Hu W, Wu J, Han M, Wang J, Zhang W, Zhou Q, Zhou J, Wei Y, Shao Y, Chen Y, Yu Y, Cao X, Zhan Y, Zhou X, Gao Y, Shen D. Deep learning empowered volume delineation of Whole-Body Organs-at-Risk for accelerated radiotherapy. Nature Communications. 2022; 13(1):6566 (PMID: 36323677)

124.

Cui Z, Fang Y, Mei L, Zhang B, Yu B, Liu J, Jiang C, Sun Y, Ma L, Huang J, Liu Y, Zhao Y, Lian C, Ding Z, Zhu M, Shen D. A fully automatic AI system for tooth and alveolar bone segmentation from Cone-Beam CT images. Nature Communications. 2022; 13(1):2096 (PMID: 35440592)

125.

Zhao F, Zhang X, Thung K, Mao N, Lee S, Shen D. Constructing Multi-View High-Order functional connectivity networks for diagnosis of autism spectrum disorder. IEEE Reviews in Biomedical Engineering. 2022; 69(3):1237-1250 (PMID: 34705632)

126.

Li M, Ling R, Yu L, Yang W, Chen Z, Wu D, Zhang J. Deep learning segmentation and reconstruction for CT of chronic total coronary occlusion. Radiology. 2022; 221393 (PMID: 36283114)

127.

Meng X, Wang Z, Ma X, Liu X, Ji H, Cheng J, Dong P. Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images. BMC Musculoskeletal Disorders. 2022; 23(1):869 (PMID: 36115981)

128.

Lv Y, Ye J, Yin YL, Ling J, Pan X. A comparative study for the evaluation of CT-Based conventional, radiomic, combined conventional and radiomic, and Delta-Radiomic features, and the prediction of the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules. Clinical Radiology. 2022; 77(10):e741-e748 (PMID: 35840455)

129.

Wei H, Shao Z, Tai J, Fu F, Lv C, Guo Z, Wu Y, Chen L, Bai Y, Wu Q, Yu X, Mu X, Shao F, Wang M. Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status. BMC Medical Imaging. 2022; 22(1):209 (DOI: 10.1186/s12880-022-00937-9)

130.

Liu X, Li J, Liao X, Luo Z, Xu Q, Pan H, Zhou Q, Tao Y, Shi F, Lu G, Zhang Z. Radiomics-Based MRI for predicting Erythropoietin-Producing hepatocellular receptor A2 expression and tumor grade in brain diffuse gliomas. Neuroradiology. 2022; 64(2):323-331 (PMID: 34368897)

131.

Tang X, Guo D, Liu A, Wu D, Liu J, Xu N, Qin Y. Fully automatic knee joint segmentation and quantitative analysis for osteoarthritis from Magnetic Resonance (MR) images using a deep learning model. Medical Science Monitor. 2022; 28:e936733 (PMID: 35698440)

132.

Wang X, Ma X, Jin L, Gao Y, Xue Y, Li J, Bai W, Han M, Zhou Q, Shi F, Wang J. Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles. Frontiers in Neuroinformatics. 2022; 16:937891 (PMID: 36120083)

133.

Liao H, Jiang H, Chen Y, Duan T, Yang T, Han M, Xue Z, Shi F, Yuan K, Bashir MR, Shen D, Song B, Zeng Y. Predicting genomic alterations of phosphatidylinositol-3 kinase signaling in hepatocellular carcinoma: A radiogenomics study based on Next-Generation sequencing and Contrast-Enhanced CT. Annals of Surgical Oncology. 2022; PP (PMID: 35286532)

134.

Liu M, Wang Y, Zhang H, Yang Q, Shi F, Zhou Y, Shen D. Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease. Cerebral Cortex. 2022; 32(21):4641-4656 (PMID: 35136966)

135.

Zhang R, Wei Y, Shi F, Ren J, Zhou Q, Li W, Chen B. The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images. BMC Cancer. 2022; 22(1):1118 (PMID: 36319968)

136.

Li D, Han X, Gao J, Zhang Q, Yang H, Liao S, Guo H, Zhang B. Deep learning in prostate cancer diagnosis using multiparametric magnetic resonance imaging with Whole-Mount histopathology referenced delineations. Frontiers in Medicine. 2022; 8:810995 (PMID: 35096899)

137.

Li C, Liu M, Xia J, Mei L, Yang Q, Shi F, Zhang H, Shen D. Predicting brain Amyloid-β PET grades with graph convolutional networks based on functional MRI and Multi-Level functional connectivity. Journal of Alzheimer’s Disease. 2022; 86(4):1679-1693 (PMID: 35213377)

138.

Ghanbari M, Soussia M, Jiang W, Wei D, Yap P, Shen D, Zhang H. Alterations of dynamic redundancy of functional brain subnetworks in Alzheimer's Disease and major Depression Disorders. NeuroImage: Clinical. 2022; 33:102917 (PMID: 34929585)

139.

Che F, Xu Q, Li Q, Huang ZX, Yang CW, Wang LY, Wei Y, Shi YJ, Song B. Radiomics signature: A potential biomarker for β-arrestin1 phosphorylation prediction in hepatocellular carcinoma. World Journal of Gastroenterology. 2022; 28(14):1479-1493 (PMID: 35582676)

140.

Sui H, Wu J, Zhou Q, Liu L, Lv Z, Zhang X, Yang H, Shen Y, Liao S, Shi F, Mo Z. Nomograms predict prognosis and hospitalization time using Non-Contrast CT and CT perfusion in patients with ischemic stroke. Frontiers in Neuroscience. 2022; 16:912287 (PMID: 35937898)

141.

Tang Y, Cui J, Zhu J, Fan G. Differentiation between lipomas and atypical lipomatous tumors of the extremities using radiomics. Journal of Magnetic Resonance Imaging. 2022; 56(6):1746-1754 (PMID: 35348280)

142.

Chen X, Deng Q, Wang Q, Liu X, Chen L, Liu J, Li S, Wang M, Cao G. Image quality control in lumbar spine radiography using enhanced U-Net neural networks. Frontiers in Oncology. 2022; 10:891766 (PMID: 35558524)

143.

Tang X, Wu J, Liang J, Yuan C, Shi F, Ding Z. The value of combined PET/MRI, CT and clinical metabolic parameters in differentiating lung adenocarcinoma from squamous cell carcinoma. Frontiers in Oncology. 2022; 12:991102 (PMID: 36081569)

144.

Qian X, Lu X, Ma X, Zhang Y, Zhou C, Wang F, Shi Y, Zeng M. A Multi-Parametric radiomics nomogram for preoperative prediction of microvascular invasion status in intrahepatic cholangiocarcinoma. Frontiers in Oncology. 2022; 12:838701 (PMID: 35280821)

145.

Dong H, Yin L, Chen L, Wang Q, Pan X, Li Y, Ye X, Zeng M. Establishment and validation of a Radiological-Radiomics model for predicting High-Grade patterns of lung adenocarcinoma less than or equal to 3 cm. Frontiers in Oncology. 2022; 12:964322 (PMID: 36185244)

146.

Xu H, Wang X, Guan C, Tan R, Yang Q, Zhang Q, Liu A, Liu Q. Value of Whole-Thyroid CT-Based radiomics in predicting benign and malignant thyroid nodules. Frontiers in Oncology. 2022; 12:828259 (PMID: 35600338)

147.

Ma Y, Lin C, Liu S, Wei Y, Ji C, Shi F, Lin F, Zhou Z. Radiomics features based on internal and marginal areas of the tumor for the preoperative prediction of microsatellite instability status in colorectal cancer. Frontiers in Oncology. 2022; 12:1020349 (PMID: 36276101)

148.

Hu F, Zhang Y, Li M, Liu C, Zhang H, Li X, Liu S, Hu X, Wang J. Preoperative prediction of microvascular invasion risk grades in hepatocellular carcinoma based on tumor and peritumor Dual-Region radiomics signatures. Frontiers in Oncology. 2022; 12:853336 (PMID: 35392229)

149.

Lv Y, Wei Y, Xu K, Zhang X, Hua R, Huang J, Li M, Tang C, Yang L, Liu B, Yuan Y, Li S, Gao Y, Zhang X, Wu Y, Han Y, Shang Z, Yu H, Zhan Y, Shi F, Ye B. 3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on High-Resolution computed tomography images. Frontiers in Oncology. 2022; 12:995870 (PMID: 36338695)

150.

Lu J, Cai S, Wang F, Wu PY, Pan X, Qiang J, Li H, Zeng M. Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI. Academic Radiology. 2022; S1076-6332(22)00660-2 (DOI: 10.1016/j.acra.2022.12.019)

151.

Feng B, Wang Z, Cui J, Li J, Xu H, Yu D, Zeng Q, Xiu J. Distinguishing parotid polymorphic adenoma and warthin tumor based on the CT radiomics nomogram: A multicenter study. Academic Radiology. 2022; S1076-6332(22)00363-4 (PMID: 35953356)

152.

Liu S, Jie C, Zheng W, Cui J, Wang Z. Investigation of underlying association between whole brain regions and Alzheimer's disease: A research based on an artificial intelligence model. Frontiers in Aging Neuroscience. 2022; 14:872530 (PMID: 35747447)

153.

Cao Z, Xu J, Song B, Chen L, Sun T, He Y, Wei Y, Niu G, Zhang Y, Feng Q, Ding Z, Shi F, Shen D. Deep learning derived automated ASPECTS on Non-Contrast CT scans of acute ischemic stroke patients. Human Brain Mapping. 2022; 43(10):3023-3036 (PMID: 35357053)

154.

Gu D, Shi F, Hua R, Wei Y, Li Y, Zhu J, Zhang W, Zhang H, Yang Q, Huang P, Jiang Y, Bo B, Li Y, Zhang Y, Zhang M, Wu J, Shi H, Liu S, He Q, Zhang Q, Zhang X, Wei H, Liu G, Xue Z, Shen D, The Consortium of Chinese Brain Molecular and Functional Mapping Cbmfm. An Artificial-Intelligence-Based Age-Specific template construction framework for brain structural analysis using magnetic resonance images. Human Brain Mapping. 2022; Online ahead of print (PMID: 36269199)

155.

Zhu W, Huang H, Zhou Y, Shi F, Shen H, Chen R, Hua R, Wang W, Xu S, Luo X. Automatic segmentation of white matter hyperintensities in routine clinical brain MRI by 2D VB-Net: A Large-Scale study. Frontiers in Aging Neuroscience. 2022; 14:915009 (PMID: 35966772)

156.

Wang Q, Chen Y, Qin S, Liu X, Liu K, Xin P, Zhao W, Yuan H, Lang N. Prognostic value and quantitative CT analysis in RANKL expression of spinal GCTB in the denosumab era: A machine learning approach. Cancers. 2022; 14(21):5201 (PMID: 36358621)

157.

Wu K, Gu D, Qi P, Cao X, Wu D, Chen L, Qu G, Wang J, Pan X, Wang X, Chen Y, Chen L, Xue Z, Lyu J. Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Computerized Medical Imaging and Graphics. 2022; 102:102126 (PMID: 36242993)

158.

Si N, Shi K, Li N, Dong X, Zhu C, Guo Y, Hu J, Cui J, Yang F, Zhang T. Identification of patients with acute myocardial infarction based on coronary CT angiography: The value of pericoronary adipose tissue radiomics. European Radiology. 2022; 32(10):6868-6877 (PMID: 35505117)

159.

Jia X, Chen X, Ji W, Huang S, Qi Y, Cui J, Wei S, Cheng J, Chai F. Risk stratification for 1 to 2 cm gastric gastrointestinal stromal tumors: Visual assessment of CT and EUS High-Risk features versus CT radiomics analysis. European Radiology. 2022; Online ahead of print (PMID: 36449061)

160.

Wang G, Kang B, Cui J, Deng Y, Zhao Y, Ji C, Wang X. Two nomograms based on radiomics models using triphasic CT for differentiation of adrenal Lipid-Poor benign lesions and metastases in a cancer population: An exploratory study. European Radiology. 2022; Online ahead of print (PMID: 36264313)

161.

Wang S, Wu D, Ye L, Chen Z, Zhan Y, Li Y. Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm. European Radiology. 2022; Online ahead of print (PMID: 36214848)

162.

Jiang X, Qiao L, Leone R, Shen D. Joint selection of brain network nodes and edges for MCI identification. Computer Methods and Programs Biomedicine. 2022; 225:107082 (PMID: 36055040)

163.

Liu R, Wang X, Wu Q, Dai L, Fang X, Yan T, Son J, Tang S, Li J, Gao Z, Galdran A, Poorneshwaran J, Liu H, Wang J, Chen Y, Porwal P, Wei Tan G, Yang X, Dai C, Song H, Chen M, Li H, Jia W, Shen D, Sheng B, Zhang P. DeepDRiD: Diabetic Retinopathy-Grading and image quality estimation challenge. Patterns. 2022; 3(6):100512 (PMID: 35755875)

164.

Wang Y, Zheng X, Zhu G, Li N, Zhou C, Yang C, Zeng M. Crosstalk between metabolism and immune activity reveals four subtypes with therapeutic implications in clear cell renal cell carcinoma. Frontiers in Immunology. 2022; 13:861328 (PMID: 35479084)

165.

Gao X, Shi F, Shen D, Liu M. Task-Induced pyramid and attention GAN for multimodal brain image imputation and classification in Alzheimer's Disease. IEEE Journal of Biomedical and Health Informatics. 2022; 26(1):36-43 (PMID: 34280112)

166.

Zhang H, Zhou Z, Ding L, Wu C, Qiu M, Huang Y, Jin F, Shen T, Yang Y, Hsu L, Wang J, Zhang H, Shen D, Peng D. Divergent and convergent imaging markers between bipolar and unipolar depression based on machine learning. IEEE Journal of Biomedical and Health Informatics. 2022; 26(8):4100-4110 (PMID: 35412995)

167.

Yu R, Zhang H, Wu X, Fei X, Yang Q, Ma Z, Qi Z, Zang D, Tang W, Mao Y, Shen D. Outcome prediction of unconscious patients based on weighted sparse brain network construction. IEEE Journal of Biomedical and Health Informatics. 2022; Online ahead of print (PMID: 36318552)

168.

Lu J, Ouyang X, Shen X, Liu T, Cui Z, Wang Q, Shen D. GAN-Guided deformable attention network for identifying thyroid nodules in ultrasound images. IEEE Journal of Biomedical and Health Informatics. 2022; 26(4):1582-1590 (PMID: 35196250)

169.

Wang F, Zhang H, Dai F, Chen W, Xu S, Yang Z, Shen D, Wang C, Wang H. Multiple B-Value Model-Based Residual Network (MORN) for accelerated High-Resolution Diffusion-Weighted imaging. IEEE Journal of Biomedical and Health Informatics. 2022; 26(9):4575-4586 (PMID: 35877799)

170.

Zhou Y, Chen H, Li Y, Cao X, Wang S, Shen D. Cross-Model Attention-Guided tumor segmentation for 3D automated breast ultrasound (ABUS) images. IEEE Journal of Biomedical and Health Informatics. 2022; 26(1):301-311. (PMID: 34003755)

171.

Wei J, Wu Z, Wang L, Bui T, Qu L, Yap Y, Xia Y, Li G, Shen D. A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognition. 2022; 124:108420 (DOI: 10.1016/j.patcog.2021.108420)

172.

Liu X, Yuan Q, Gao Y, He K, Wang S, Tang X, Tang J, Shen D. Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images. Pattern Recognition. 2022; 122:108341 (PMID: 34565913)

173.

Zhou L, Wang S, Sun K, Zhou T, Yan F, Shen D. Three-Dimensional affinity learning based Multi-Branch ensemble network for breast tumor segmentation in MRI. Pattern Recognition. 2022; 129:108723. (DOI: 10.1016/j.patcog.2022.108723)

174.

Zhan B, Zhou L, Li Z, Wu X, Pu Y, Zhou J, Wang Y, Shen D. D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis. Knowledge-Based Systems. 2022; 252:109362 (DOI: 10.1016/j.knosys.2022.109362)

175.

Liu T, Siegel E, Shen D. Deep learning and medical image analysis for COVID-19 diagnosis and prediction. Annual Review of Biomedical Engineering. 2022; 24:179-201 (PMID: 35316609)

176.

刘一萍, 李新平, 陈磊, 夏金菊, 宋凯荣, 贾宁阳, 刘婉敏. 基于人工智能的肝细胞癌精准影像学诊断和复发预测. 临床放射学杂志. 2022; 38(03):521-527 (Link: 中国知网)

177.

孟祥虹, 吴迪嘉, 马信龙, 刘爱娥. 深度卷积神经网络技术自动诊断肋骨骨折的CT应用初探. 天津医科大学学报. 2022; 28(02):205-210 (Link: 中国知网)

178.

蒋希, 袁奕萱, 王雅萍, 肖振祥, 朱美芦, 陈泽华, 刘天明, 沈定刚. 中国医学影像人工智能20年回顾和展望. 中国图象图形学报. 2022; 27(03):655-671 (Link: 中国知网)

179.

Zheng H, Wang F, Li Y, Li Z, Zhang X, Yin X. Promoting the application of pediatric radiomics via an integrated medical engineering approach. Cancer Innovation. 2022; 1–10 (DOI: 10.1002/cai2.44)

180.

蒋雨, 黄小华, 秦石泽, 王芳, 唐玲玲, 刘念. 基于增强MRI影像组学模型预测HIFU消融子宫肌瘤疗效的价值研究. 临床放射学杂志. 2022; 41(11):2095-2100 (DOI: 10.13437/j.cnki.jcr.2022.11.008)

181.

李文华, 许传斌, 崔景景, 刘晓鸣, 王肖, 贾文昊, 李天然. 基于治疗前MR-T2WI影像组学特征预测肝细胞癌射频消融术后早期复发的价值. 医学信息. 2022; 35(18):39-43 (DOI: 10.3969/j.issn.1006-1959.2022.18.009)

182.

文瑶, 刘丹, 喻媛, 李鑫娅, 苏丽平, 王芳. 基于临床联合CT影像组学特征列线图预测急性胰腺炎预后. 中国医学影像技术. 2022; 38(11):1675-1679 (DOI: 10.13929/j.issn.1003-3289.2022.11.018)

183.

侯承师, 陈俊飞, 刘金韵, 黄京城, 胡景卉, 吴晶涛, 陈磊, 潘先攀, 罗先富. 增强CT影像组学在鉴别硬化性肺细胞瘤与球形肺癌中的价值. 实用放射学杂志. 2022; 38(7):1088-1091 (DOI: 10.3969/j.issn.1002-1671.2022.07.010)

184.

黄京城, 刘金韵, 胡景卉, 侯承师, 潘先攀, 罗先富. 增强MRI影像组学对肝癌微血管侵犯的预测价值. 放射学实践. 2022; 37(10):1243-1248 (DOI: 10.13609/j.cnki.1000-0313.2022.10.010)

185.

闫小凡, 邵硕, 郑宁, 崔景景, 苑子茵, 李森. 基于多模态磁共振影像组学鉴别唾液腺多形性腺瘤和基底细胞腺瘤. 磁共振成像. 2022; 13(07):22-28 (Link: 中国知网)

186.

秦石泽, 黄小华, 王芳, 唐玲玲, 蒋雨. T2WI-FS影像组学联合影像学特征在预测HIFU消融子宫肌瘤疗效中的价值. 磁共振成像. 2022; 13(05):59-63+69 (Link: 中国知网)

187.

王娜娜, 李大胜, 张媛, 崔景景, 于巍伟, 徐海旺, 宋燕丽, 肖瑶. 人工智能在冠状动脉CTA诊断冠状动脉疾病中的应用价值. 中国中西医结合影像学杂志. 2022; 20(03):225-229 (Link: 中国知网)

188.

王玫, 李宁, 张祁, 石峰, 吴交交, 冯琪, 丁忠祥. 基于影像组学的多参数磁共振定量指标在膀胱癌肌层浸润分析中的价值. 中国临床医学影像杂志. 2022; 33(08):551-556 (Link: 中国知网)

Conferences

189.

Fang Y, Cui Z, Ma L, Mei L, Zhang B, Zhao Y, Jiang Z, Zhan Y, Pan Y, Zhu M, Shen D. Curvature-Enhanced implicit function network for high quality tooth model generation from CBCT images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 225-234 (DOI: 10.1007/978-3-031-16443-9_22)

190.

Gu Y, Pan Y, Fang Z, Zhang J, Xue P, Liu M, Zhu Y, Ma L, Androjna C, Yu X, Shen D. Deep-Learning based T1 and T2 quantification from undersampled magnetic resonance fingerprinting data to track tracer kinetics in small laboratory animals. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 432-441 (DOI: 10.1007/978-3-031-16446-0_41)

191.

Wu Q, Tan H, Wu Y, Dong P, Che J, Li Z, Lei C, Shen D, Xue Z, Wang M. Whole mammography diagnosis via Multi-Instance supervised discriminative localization and classification. International Workshop on Machine Learning in Medical Imaging (MLMI). 2022; 131-139 (DOI: 10.1007/978-3-031-21014-3_14)

192.

Ge Y, Tang Z, Ma L, Jiang C, Shi F, Du S, Shen D. Multi-Scale and focal region based deep learning network for fine brain parcellation. International Workshop on Machine Learning in Medical Imaging (MLMI). 2022; 466-475 (DOI: 10.1007/978-3-031-21014-3_48)

193.

Yao L, Xue Z, Zhan Y, Chen L, Chen Y, Song B, Wang Q, Shi F, Shen D. TaG-Net: Topology-Aware graph network for vessel labeling. MICCAI Workshop on Imaging Systems for GI Endoscopy. 2022; 108-117 (DOI: 10.1007/978-3-031-21083-9_11)

194.

Wang B, Teng L, Mei L, Cui Z, Xu X, Feng Q, Shen D. Deep Learning-Based head and neck radiotherapy planning dose prediction via Beam-Wise dose decomposition. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 575-584 (DOI: 10.1007/978-3-031-16449-1_55)

195.

Jiang C, Pan Y, Cui Z, Shen D. Reconstruction of Standard-Dose Pet from Low-Dose Pet via Dual-Frequency supervision and global aggregation module. IEEE 19th International Symposium on Biomedical Imaging (ISBI). 2022; 1月5日 (DOI: 10.1109/ISBI52829.2022.9761694)

196.

Fei Y, Zu C, Jiao Z, Wu X, Zhou J, Shen D, Wang Y. Classification-Aided High-Quality PET image synthesis via bidirectional contrastive GAN with shared information maximization. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 527-537 (DOI: 10.1007/978-3-031-16446-0_50)

197.

Zeng P, Zhou L, Zu C, Zeng X, Jiao Z, Wu X, Zhou J, Shen D, Wang Y. 3D CVT-GAN: A 3D convolutional vision Transformer-GAN for PET reconstruction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 516-526 (DOI: 10.1007/978-3-031-16446-0_49)

198.

Liu H, Nie D, Wang J, Shen D, Tang Z. Multimodal brain tumor segmentation using contrastive learning based feature comparison with monomodal normal brain images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 118-127 (DOI: 10.1007/978-3-031-16443-9_12)

199.

Lee J, Kwanseok Oh, Shen D, Suk H. A novel knowledge keeper network for 7T-Free but 7T-Guided brain tissue segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 330-339 (DOI: 10.1007/978-3-031-16443-9_32)

200.

Yao L, Xue Z, Zhan Y, Chen L, Chen Y, Song B, Wang Q, Shi F, Shen D. Head and neck vessel segmentation with connective topology using affinity graph. International Workshop on Machine Learning in Medical Imaging (MLMI). 2022; 230-238 (DOI: 10.1007/978-3-031-21014-3_24)

201.

Hu Y, Pan Y, Song Y, Meijering E, Cui Z, Zhao Y, Ding Z, Zhu M, Shen D. Parallel sinogram and image framework with Co-Training strategy for metal artifact reduction in tooth CT images. IEEE 19th International Symposium on Biomedical Imaging (ISBI). 2022; 1月4日 (DOI: 10.1109/ISBI52829.2022.9761653)

202.

Zhuang Z, Wang S, Si L, Xuan K, Xue Z, Shen D, Zhang L, Yao W, Wang Q. Local graph fusion of Multi-View MR images for knee osteoarthritis diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 554-563 (DOI: 10.1007/978-3-031-16437-8_53)

203.

Shen Y, Luo Y, Shen D, Ke J. RandStainNA: Learning Stain-Agnostic features from histology slides by bridging stain augmentation and normalization. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 212-221 (DOI: 10.1007/978-3-031-16434-7_21)

204.

Gong X, Sharma A, Karanam S, Wu Z, Chen T, Doermann D, Innanje A. Preserving privacy in federated learning with ensemble Cross-Domain knowledge distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 2022; 36(11):11891-11899 (DOI: 10.1609/aaai.v36i11.21446)

205.

Meng M, Wu Z, Chen T, Cai X, Zhou X, Yang F, Shen D. Forecasting human trajectory from scene history. Annual Conference on Neural Information Processing Systems. 2022; PP (DOI: 10.48550/arXiv.2210.08732)

206.

Huang L, Liu Y, Chen L, Chen E, Chen X, Sun S. Robust Landmark-Based stent tracking in X-Ray fluoroscopy. European Conference on Computer Vision. 2022; 201-216. (DOI: 10.1007/978-3-031-20047-2_12)

207.

Liu Q, Zheng M, Planche B, Karanam S, Chen T, Niethammer M, Wu Z. PseudoClick: Interactive image segmentation with click imitation. European Conference on Computer Vision. 2022; PP (DOI: 10.48550/arXiv.2207.05282)

208.

Song L, Gong X, Planche B, Zheng M, Doermann D, Yuan J, Chen T, Wu Z. PREF: Predictability regularized neural motion fields. European Conference on Computer Vision. 2022; 664-681 (DOI: 10.1007/978-3-031-20047-2_38)

209.

Gong X, Zheng M, Planche B, Karanam S, Chen T, Doermann D, Wu Z. Self-Supervised human mesh recovery with Cross-Representation alignment. European Conference on Computer Vision. 2022; 212-230 (DOI: 10.1007/978-3-031-19769-7_13)

210.

Guo H, Planche B, Zheng M, Karanam S, Chen T, Wu Z. SMPL-A: Modeling Person-Specific deformable anatomy. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022; 20814-20823 (DOI: 10.1109/CVPR52688.2022.02015)

211.

Yang F, Karanam S, Zheng M, Chen T, Ling H, Wu Z. Multi-Motion and appearance Self-Supervised moving object detection. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2022; 2022; 2605-2614 (DOI: 10.1109/WACV51458.2022.00216)

212.

Zheng M, Planche B, Gong X, Yang F, Chen T, Wu Z. Self-Supervised 3D Patient modeling with Multi-Modal attentive fusion. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 115-125 (DOI: 10.1007/978-3-031-16449-1_12)

213.

Zhang J, Xue P, Gu R, Gu Y, Liu M, Pan Y, Cui Z, Huang J, Ma L, Shen D. Learning towards synchronous network memorizability and generalizability for continual segmentation across multiple sites. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 380-390 (DOI: 10.1007/978-3-031-16443-9_37)

214.

Dong S, Chen E, Zhao L, Chen X, Liu Y, Chen T, Sun S. Invertible sharpening network for MRI reconstruction enhancement. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 582-592 (DOI: 10.1007/978-3-031-16446-0_55)

215.

Zheng M, Karanam S, Chen T, Radke R, Wu Z. Visual similarity attention. Proceedings of the 31th International Joint Conference on Artificial Intelligence. 2022; 1728-1735 (DOI: 10.24963/ijcai.2022/24)

216.

Chen X, Zheng Y, Chen E, Zhang Z, Ding Y, Xu J, Chen T, Sun S. Accelerated multiband cine cardiac magnetic resonance imaging using deep learning. International Society for Magnetic Resonance in Medicine (ISMRM). 2022; PP (Link)

217.

Komolafe T, Sun Y, Wang N, Sun K, Cao G, Shen D. DPDudoNet: Deep-Prior based Dual-Domain network for Low-Dose computed tomography reconstruction. International Workshop on Machine Learning for Medical Image Reconstruction (MLMIR). 2022; 123-132. (DOI: 10.1007/978-3-031-17247-2_13)

218.

Jin Z, Xue P, Zhang Y, Cao X, Shen D. Semantic-Aware registration with Weakly-Supervised learning. MICCAI Workshop on Cancer Prevention through Early Detection. 2022; 159-168 (DOI: 10.1007/978-3-031-17979-2_16)

219.

Meng M, Liu M, Zhang X, Liu Y, Cai X, Gao Y, Zhou X, Shen D. LA-Net: Lung adenocarcinoma classification with assistants from lung nodule classification and positional information. IEEE 19th International Symposium on Biomedical Imaging (ISBI). 2022; 1月5日 (DOI: 10.1109/ISBI52829.2022.9761450)

220.

Zhang X, Zhang J, Ma L, Xue P, Hu Y, Wu D, Zhan Y, Feng J, Shen D. Progressive deep segmentation of coronary artery via hierarchical topology learning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022; 391-400 (DOI: 10.1007/978-3-031-16443-9_38)

221.

Mei L, Liu M, Bian L, Zhang Y, Shi F, Zhang H, Shen D. Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. MICCAI Workshop on Imaging Systems for GI Endoscopy. 2022; 69-78 (DOI: 10.1007/978-3-031-21083-9_7)

2021

Journals

222.

Wang P, Li Q, Shen D, Liu Y. High-Dimensional factor regression for heterogeneous subpopulations. Statistica Sinica. 2021; 235272473 (Link)

223.

Wang S, Sun K, Wang L, Qu L, Yan F, Wang Q, Shen D. Breast tumor segmentation in DCE-MRI with tumor sensitive synthesis. IEEE Transactions on Neural Network and Learning Systems. 2021; Online ahead of print (PMID: 34874872)

224.

Liu R, Liu M, Sheng B, Li H, Li P, Song H, Zhang P, Jiang L, Shen D. NHBS-Net: A feature fusion attention network for ultrasound neonatal hip bone segmentation. IEEE Transactions on Medical Imaging. 2021; 40(12):3446-3458 (PMID: 34106849)

225.

Yao D, Sui J, Wang M, Yang E, Jiaerken Y, Luo N, Yap P, Liu M, Shen D. A mutual Multi-Scale triplet graph convolutional network for classification of brain disorders using functional or structural connectivity. IEEE Transactions on Medical Imaging. 2021; 40(4):1279-1289 (PMID: 33444133)

226.

He K, Lian C, Zhang B, Zhang X, Cao X, Nie D, Gao Y, Zhang J, Shen D. HF-UNet: Learning hierarchically Inter-Task relevance in Multi-Task U-Net for accurate prostate segmentation in CT images. IEEE Transactions on Medical Imaging. 2021; 40(8):2118-2128 (PMID: 33848243)

227.

Ouyang X, Karanam S, Wu Z, Chen T, Huo J, Zhou X, Wang Q, Cheng J. Learning hierarchical attention for Weakly-Supervised chest X-Ray abnormality localization and diagnosis. IEEE Transactions on Medical Imaging. 2021; 40(10):2698-2710 (PMID: 33284748)

228.

Liu Y, Fan L, Zhang C, Zhou T, Xiao Z, Geng L, Shen D. Incomplete Multi-Modal representation learning for Alzheimer's Disease diagnosis. Medical Image Analysis. 2021; 69:101953 (PMID: 33460880)

229.

Ghribi O, Li G, Lin W, Shen D, Rekik I. Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Analysis. 2021; 68:101853 (PMID: 33264713)

230.

Xu X, Lian C, Wang S, Zhu T, Chen R, Wang A, Royce T, Yap P, Shen D, Lian J. Asymmetric Multi-Task attention network for prostate bed segmentation in computed tomography images. Medical Image Analysis. 2021; 72:102116. (PMID: 34217953)

231.

He K, Lian C, Adeli E, Huo J, Gao Y, Zhang B, Zhang J, Shen D. MetricUNet: Synergistic Image- and Voxel-Level learning for precise prostate segmentation via online sampling. Medical Image Analysis. 2021; 71:102039 (PMID: 33831595)

232.

Cui Z, Li C, Chen N, Wei G, Chen R, Zhou Y, Shen D, Wang W. TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Analysis. 2021; 69:101949 (PMID: 33387908)

233.

Liu F, Feng J, Chen G, Shen D, Yap P. Gaussianization of diffusion MRI data using spatially sdaptive filtering. Medical Image Analysis. 2021; 68:101828 (PMID: 33338870)

234.

Di D, Shi F, Yan F, Xia L, Mo Z, Ding Z, Shan F, Song B, Li S, Wei Y, Shao Y, Han M, Gao Y, Sui H, Gao Y, Shen D. Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 2021; 68:101910 (PMID: 33285483)

235.

Zhu X, Song B, Shi F, Chen Y, Hu R, Gan J, Zhang W, Li M, Wang L, Gao Y, Shan F, Shen D. Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Analysis. 2021; 67:101824 (PMID: 33091741)

236.

Li Z, Zhao W, Shi F, Qi L, Xie X, Wei Y, Ding Z, Gao Y, Wu S, Liu J, Shi Y, Shen D. A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and Self-Supervised learning. Medical Image Analysis. 2021; 69:101978 (PMID: 33588121)

237.

Wang J, Liu C, Li J, Yuan C, Zhang L, Jin C, Xu J, Wang Y, Wen Y, Lu H, Li B, Chen C, Li X, Shen D, Qian D, Wang J. iCOVID: Interpretable deep learning framework for early Recovery-Time prediction of COVID-19 patients. NPJ Digital Medicine. 2021; 4(1):124 (PMID: 34400751)

238.

Jin L, Shi F, Chun Q, Chen H, Ma Y, Wu S, Hameed NUF, Mei C, Lu J, Zhang J, Aibaidula A, Shen D, Wu J. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers. Neuro-Oncology. 2021; 23(1):44-52 (PMID: 32663285)

239.

Dai L, Wu L, Li H, Cai C, Wu Q, Kong H, Liu R, Wang X, Hou X, Liu Y, Long X, Wen Y, Lu L, Shen Y, Chen Y, Shen D, Yang X, Zou H, Sheng B, Jia W. A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nature Communications. 2021; 12(1):3242 (PMID: 34050158)

240.

Shi F, Wang J, Shi J, Wu Z, Wang Q, Tang Z, He K, Shi Y, Shen D. Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering. 2021; 14:4-15 (PMID: 32305937)

241.

Ding X, Clifton D, Ji N, Lovell NH, Bonato P, Chen W, Yu X, Xue Z, Xiang T, Long X, Xu K, Jiang X, Wang Q, Yin B, Feng G, Zhang Y. Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic. IEEE Reviews in Biomedical Engineering. 2021; 14:48-70 (PMID: 32396101)

242.

Dong D, Tang Z, Wang S, Hui H, Gong L, Lu Y, Xue Z, Liao H, Chen F, Yang F, Jin R, Wang K, Liu Z, Wei J, Mu W, Zhang H, Jiang J, Tian J, Li H. The role of imaging in the detection and management of COVID-19: A review. IEEE Reviews in Biomedical Engineering. 2021; 14:16-29 (PMID: 32356760)

243.

Meng X, Wu D, Wang Z, Ma X, Dong X, Liu A, Chen L. A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance. Skeletal Radiology. 2021; 50(9):1821-1828 (PMID: 33599801)

244.

Xie Q, Zhang X, Rekik I, Chen X, Mao N, Shen D, Zhao F. Constructing High-Order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder. PeerJ. 2021; 9:e11692 (PMID: 34268010)

245.

Gu D, Chen L, Shan F, Xia L, Liu J, Mo Z, Yan F, Song B, Gao Y, Cao X, Chen Y, Shao Y, Han M, Wang B, Liu G, Wang Q, Shi F, Shen D, Xue Z. Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging. 2021; 21(1):57 (PMID: 33757431)

246.

Zhu Q, Ye H, Sun L, Li Z, Wang R, Shi F, Shen D, Zhang D. GACDN: Generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging. 2021; 21(1):154 (PMID: 34674660)

247.

Xiao H, Teng X, Liu C, Li T, Ren G, Yang R, Shen D, Cai J. A review of deep Learning-Based Three-Dimensional medical image registration methods. Quantitative Imaging in Medicine and Surgery. 2021; 11(12):4895-4916 (PMID: 34888197)

248.

Wang Y, Chen S, Shi F, Cheng X, Xu Q, Li J, Luo S, Jiang P, Wei Y, Zhou C, Zheng L, Xia K, Lu G, Zhang Z. MR-Based radiomics for differential diagnosis between cystic pituitary adenoma and Rathke cleft cyst. Computation and Mathematical Methods in Medicine. 2021; 2021:6438861 (PMID: 34422095)

249.

Wang X, Pastewait M, Wu TH, Lian C, Tejera B, Lee Y, Lin F, Wang L, Shen D, Li S, Ko C. 3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep Learning-Based CBCT image Auto-Segmentation. Orthodontics & Craniofacial Research. 2021; (Suppl 2):108-116 (PMID: 33711187)

250.

Feng J, Guo Y, Wang S, Shi F, Wei Y, He Y, Zeng P, Liu J, Wang W, Lin L, Yang Q, Li C, Liu X. Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features. International Journal of Imaging Systems and Technology. 2021; 31(1): 47-58 (DOI: 10.1002/ima.22538)

251.

Shi F, Xia L, Shan F, Wu D, Wei Y, Yuan H, Jiang H, Gao Y, Sui H, Shen D. Large-Scale screening of COVID-19 from community acquired pneumonia using infection Size-Aware classification. Physics in Medicine and Biology. 2021; Online ahead of print (PMID: 33607630)

252.

Shi W, Peng X, Liu T, Cheng Z, Lu H, Yang S, Zhang Z, Shan F. A deep Learning-Based quantitative computed tomography model for predicting the severity of COVID-19: A retrospective study of 196 patients. Annals of Translational Medicine. 2021; 9(3):216 (PMID: 33708843)

253.

Xing X, Li Q, Yuan M, Wei H, Xue Z, Wang T, Shi F, Shen D. DS-GCNs: Connectome classification using dynamic spectral graph convolution networks with assistant task training. Cerebral Cortex. 2021; 31(2):1259-1269 (PMID: 33078190)

254.

Sun Y, Zhu Q, Huang M, Shen D, Zhou Y, Feng Q. Liver DCE-MRI registration based on sparse recovery of contrast agent curves. Medical Physics. 2021; 48(11):6916-6929 (PMID: 34453335)

255.

Shan F, Gao Y, Wang J, Shi W, Shi N, Han M, Xue Z, Shen D, Shi Y. Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction. Medical Physics. 2021; 48(4):1633-1645 (PMID: 33225476)

256.

Chong H, Gong Y, Pan X, Liu A, Chen L, Yang C, Zeng M. Peritumoral dilation radiomics of gadoxetate Disodium-Enhanced MRI excellently predicts early recurrence of hepatocellular carcinoma without macrovascular invasion after hepatectomy. Journal of Hepatocellular Carcinoma. 2021; 8:545-563 (PMID: 34136422)

257.

Sheng R, Huang J, Zhang W, Jin K, Yang L, Chong H, Fan J, Zhou J, Wu D, Zeng M. A Semi-Automatic Step-by-Step Expert-Guided LI-RADS grading system based on gadoxetic Acid-Enhanced MRI. Journal of Hepatocellular Carcinoma. 2021; 8:671-683 (PMID: 34235105)

258.

Xiao B, He N, Wang Q, Shi F, Cheng Z, Haacke E, Yan F, Shen D. Stability of AI-Enabled diagnosis of Parkinson's Disease: A study targeting substantia Nigra in quantitative susceptibility mapping imaging. Frontiers in Neuroscience. 2021; 15:760975 (PMID: 34887722)

259.

Liu Y, Xiao B, Zhang C, Li J, Lai Y, Shi F, Shen D, Wang L, Sun B, Li Y, Jin Z, Wei H, Haacke E, Zhou H, Wang Q, Li D, He N, Ya F. Predicting motor outcome of subthalamic nucleus deep brain stimulation for Parkinson's Disease using quantitative susceptibility mapping and radiomics: A pilot study. Frontiers in Neuroscience. 2021; 15:731109 (PMID: 34557069)

260.

Dong A, Li Z, Wang M, Shen D, Liu M. High-Order laplacian regularized Low-Rank representation for multimodal dementia diagnosis. Frontiers in Neuroscience. 2021; 15:634124 (PMID: 33776639)

261.

Guo T, Zhang Y, Xue Y, Qiao L, Shen D. Brain Function Network: Higher order vs more discrimination. Frontiers in Neuroscience. 2021; 15:696639 (PMID: 34497485)

262.

Zhao F, Chen Z, Rekik I, Liu P, Mao N, Lee S, Shen D. A novel Unit-Based personalized fingerprint feature selection strategy for dynamic functional connectivity networks. Frontiers in Neuroscience. 2021; 15:651574 (PMID: 33828457)

263.

Zhang G, Chen L, Liu A, Pan X, Shu J, Han Y, Huan Y, Zhang J. Comparable performance of deep Learning-Based to Manual-Based tumor segmentation in KRAS/NRAS/BRAF Mutation prediction with MR-Based radiomics in rectal cancer. Frontiers in Oncology. 2021; 11:696706 (PMID: 34395262)

264.

Sui H, Ma R, Liu L, Gao Y, Zhang W, Mo Z. Detection of incidental esophageal cancers on chest CT by deep learning. Frontiers in Oncology. 2021; 11:700210 (PMID: 34604036)

265.

Kang B, Yuan X, Wang H, Qin S, Song X, Yu X, Zhang S, Sun C, Zhou Q, Wei Y, Shi F, Yang S, Wang X. Preoperative CT-Based deep learning model for predicting risk stratification in patients with gastrointestinal stromal tumors. Frontiers in Oncology. 2021; 11:750875 (PMID: 34631589)

266.

Chen Y, Zhou Z, Liang Y, Tan X, Li Y, Qin C, Feng Y, Ma X, Mo Z, Xia J, Zhang H, Qiu S, Shen D. Classification of type 2 diabetes mellitus with or without cognitive impairment from healthy controls using High-Order functional connectivity. Human Brain Mapping. 2021; 42(14):4671-4684 (PMID: 34213081)

267.

Liu G, Cao Z, Xu Q, Zhang Q, Yang F, Xie X, Hao J, Shi Y, Bernhardt B, He Y, Shi F, Lu G, Zhang Z. Recycling diagnostic MRI for empowering brain morphometric research-Critical & practical assessment on Learning-Based image Super-Resolution. Neuroimage. 2021; 245:118687 (PMID: 34732323)

268.

Qian L, Zhou Q, Cao X, Shen W, Suo S, Ma S, Qu G, Gong X, Yan Y, Xu J, Jiang L. A Cascade-Network framework for integrated registration of liver DCE-MR images. Computerized Medical Imaging and Graphics. 2021; 89:101887 (PMID: 33711732)

269.

Gu D, Liu G, Cao X, Xue Z, Shen D. A consistent deep registration network with group data modeling. Computerized Medical Imaging and Graphics. 2021; 90:101904 (PMID: 33964791)

270.

Chen L, Gu D, Chen Y, Shao Y, Cao X, Liu G, Gao Y, Wang Q, Shen D. An Artificial-Intelligence lung imaging analysis system (ALIAS) for Population-Based nodule computing in CT scans. Computerized Medical Imaging and Graphics. 2021; 89:101899 (PMID: 33761446)

271.

Xiao Y, Wang X, Li Q, Fan R, Chen R, Shao Y, Chen Y, Gao Y, Liu A, Chen L, Liu S. A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data. Computerized Medical Imaging and Graphics. 2021; 90:101889 (PMID: 33848755)

272.

Gu D, Liu G, Xue Z. On the performance of lung nodule detection, segmentation and classification. Computerized Medical Imaging and Graphics. 2021; 89:101886 (PMID: 33706112)

273.

Chong H, Yang L, Sheng R, Yu Y, Wu D, Rao S, Yang C, Zeng M. Multi-Scale and Multi-Parametric radiomics of gadoxetate Disodium-Enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm. European Radiology. 2021; 31(7): 4824-4838 (PMID: 33447861)

274.

Luo Y, Nie D, Zhan B, Li Z, Wu X, Zhou J, Wang Y, Shen D. Edge-Preserving MRI image synthesis via adversarial network with iterative Multi-Scale fusion. Neurocomputing. 2021; 452:63-77 (DOI: 10.1016/j.neucom.2021.04.060)

275.

Jiaerken Y, Lian C, Huang P, Yu X, Zhang R, Wang S, Hong H, Luo X, Yap P, Shen D, Zhang M. Dilated perivascular space is related to reduced free-water in surrounding white matter among healthy adults and elderlies but not in patients with severe cerebral small vessel disease. Journal of Cerebral Blood Flow and Metabolism. 2021; 41(10):2561-2570 (PMID: 33818186)

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Sun K, Jiao Z, Zhu H, Chai W, Yan X, Fu C, Cheng J, Yan F, Shen D. Radiomics-Based machine learning analysis and characterization of breast lesions with multiparametric Diffusion-Weighted MR. Journal of Translational Medicine. 2021; 19(1):443 (PMID: 34689804)

277.

Zhang J, Shi Y, Sun J, Wang L, Zhou L, Gao Y, Shen D. Interactive medical image segmentation via a Point-Based interaction. Artificial Intelligence in Medicine. 2021; 111:101998 (PMID: 33461691)

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Xuan K, Si L, Zhang L, Xue Z, Jiao Y, Yao W, Shen D, Wu D, Wang Q. Reducing magnetic resonance image spacing by learning without Ground-Truth. Pattern Recognition. 2021; 120:108103 (DOI: 10.1016/j.patcog.2021.108103)

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He K, Zhao W, Xie X, Ji W, Liu M, Tang Z, Shi Y, Shi F, Gao Y, Liu J, Zhang J, Shen D. Synergistic learning of lung lobe segmentation and hierarchical Multi-Instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognition. 2021; 113:107828 (PMID: 33495661)

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Huang X, Shu J, Yan Y, Chen X, Yang C, Zhou T, Li M. Feasibility of magnetic resonance Imaging-Based radiomics features for preoperative prediction of extrahepatic cholangiocarcinoma stage. European Journal of Cancer. 2021; 155:227-235 (PMID: 34391055)

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Shi F, Wei Y, Xia L, Shan F, Mo Z, Yan F, Shen D. Lung volume reduction and infection localization revealed in big data CT imaging of COVID-19. International Journal of Infectious Diseases. 2021; 102:316-318 (PMID: 33157298)

282.

Dongdong G, Zhong X. Comparison of 2D and 3D U-Nets for Organ Segmentation. Auto-Segmentation for Radiation Oncology. 2021; 113-124 (DOI: 10.1201/9780429323782-10)

283.

曹洋森, 朱晓斐, 韩妙飞, 卢明智, 高耀宗, 顾蕾, 于春山, 孙永健, 张火俊. 基于级联式深度网络模型的胃及胰腺自动分割研究. 中国医学物理学杂志. 2021; 38(08):971-974 (Link: 中国知网)

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李娟, 汤翔宇, 沈逸, 廖术, 石峰, 朱文珍. 基于卷积神经网络的深度学习算法对颅内出血的类型识别及血肿分割一致性的研究. 临床放射学杂志. 2021; 40(07):1369-1374 (DOI: 10.13609/j.cnki.1000-0313.2021.01.002)

285.

Wang S, Cao G, Wang Y, Liao S, Wang Q, Shi J, Li C, Shen D. Review and prospect: Artificial intelligence in advanced medical imaging. Frontiers in Radiology. 2021; 1:781868 (DOI: 10.3389/fradi.2021.781868)

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陈磊, 刘爱娥, 詹翊强, 薛忠, 周翔. 人工智能赋能医疗影像全流程. 人工智能. 2021; (03):28-37 (DOI: 10.16453/j.cnki.ISSN2096-5036.2021.03.004)

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刘想, 谢辉辉, 许玉峰, 张晓东, 吴迪嘉, 柳林, 莫展豪, 陶晓峰, 朱凌, 贺佳, 高永晴, 王霄英. AI软件自动检出胸部CT图像上肋骨骨折的诊断效能研究. 上海交通大学学报(医学版). 2021; 41(07):920-925 (DOI: 10.13437/j.cnki.jcr.2021.07.027)

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刘想, 谢辉辉, 许玉峰, 陶晓峰, 柳林, 吴迪嘉, 王霄英. 人工智能在胸部创伤肋骨骨折CT诊断中应用的初步研究. 放射学实践. 2021; 36(01):7-12 (Link: 中国知网)

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曹晓欢, 王升平, 薛忠. 胸部疾病一体化AI辅助诊断及影像云新型服务模式探索. 中国医疗设备. 2021; 36(10):15-18+35. (Link: 中国知网)

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Luo Y, Wang Y, Zu C, Zhan B, Wu X, Zhou J, Shen D, Zhou L. 3D Transformer-GAN for High-Quality PET reconstruction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 276-285 (DOI: 10.1007/978-3-030-87231-1_27)

291.

Wang Z, Huang T, Xiao B, Huo J, Wang S, Jiang H, Liu H, Wu F, Zhou X, Xue Z, Yang J, Wang Q. Self-Guided Multi-Attention network for periventricular leukomalacia recognition. International Workshop on Predictive Intelligence in Medicine. 2021; 128-137 (DOI: 10.1007/978-3-030-87602-9_12)

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Wei J, Shi F, Cui Z, Pan Y, Xia Y, Shen D. Consistent segmentation of longitudinal brain MR images with Spatio-Temporal constrained networks. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 89-98 (DOI: 10.1007/978-3-030-87193-2_9)

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Zhang X, Cui Z, Chen C, Wei J, Lou J, Hu W, Zhang H, Chen C, Zhou T, Shi F, Shen D. Confidence-Aware cascaded network for fetal brain segmentation on MR images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 584-593 (DOI: 10.1007/978-3-030-87199-4_55)

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Cao Z, Shi F, Xu Q, Liu G, Sun T, Xing X, He Y, Lu G, Zhang Z, Shen D. Diagnosis of hippocampal sclerosis from clinical routine head MR images using Structure-Constrained Super-Resolution network. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 258-266 (DOI: 10.1007/978-3-030-87589-3_27)

295.

Lin H, Qiao Y, Shi F, Qian D, Hu N, Chen L, Song B, Wu K, Zhang L. Multi-Task learning for False-Positive reduction and segmentation of cerebral aneurysms in CTA scans. 14th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI). 2021; 1月5日 (DOI: 10.1109/CISP-BMEI53629.2021.9624435)

296.

Liu M, Zhang H, Shi F, Shen D. Building dynamic hierarchical brain networks and capturing transient Meta-States for early mild cognitive impairment diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 574-583 (DOI: 10.1007/978-3-030-87234-2_54)

297.

Yang H, Wu G Y, Shen D, Liao S. Automatic prostate cancer detection on Multi-Parametric MRI with hierarchical weakly supervised learning. IEEE 18th International Symposium on Biomedical Imaging (ISBI). 2021; 316-319 (DOI: 10.1109/ISBI48211.2021.9434108)

298.

Li J, Cui Z, Wang S, Wei J, Feng J, Liao S, Shen D. Morphology-Guided prostate MRI segmentation with Multi-Slice association. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 507-516 (DOI: 10.1007/978-3-030-87589-3_52)

299.

Wei J, Pan Y, Xia Y, Shen D. Learning to synthesize 7T MRI from 3T MRI with few data by deformable augmentation. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 70-79 (DOI: 10.1007/978-3-030-87589-3_8)

300.

Cui Z, Zhang B, Lian C, Li C, Yang L, Wang W, Zhu M, Shen D. Hierarchical Morphology-Guided tooth instance segmentation from CBCT images. International Conference on Information Processing in Medical Imaging. 2021; 150-162 (DOI: 10.1007/978-3-030-78191-0_12)

301.

Zhang L, Zhao Y, Meng D, Cui Z, Gao C, Gao X, Lian C, Shen D. TSGCNet: Discriminative geometric feature learning with Two-Stream graph convolutional network for 3D dental model segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021; 6699-6708 (DOI: 10.1109/CVPR46437.2021.00663)

302.

Qiu Z, Pan Y, Wei J, Wu D, Xia Y, Shen D. Predicting symptoms from multiphasic MRI via Multi-Instance attention learning for hepatocellular carcinoma grading. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 439-448 (DOI: 10.1007/978-3-030-87240-3_42)

303.

Sun Y, Wei D, Cui Z, Zhou Y, Jiang C, Liu J, Feng Q, Shen D. Motion correction for liver DCE-MRI with Time-Intensity curve constraint. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 733-742 (DOI: 10.1007/978-3-030-87234-2_69)

304.

Shen W, Chen L, Wei D, Qiao Y, Zhan Y, Shen D, Wang Q. ?A recurrent Two-Stage Anatomy-Guided network for registration of liver DCE-MRI. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 219-227 (DOI: 10.1007/978-3-030-87589-3_23)

305.

Cui Z, Li C, Yang L, Lian C, Shi F, Wang W, Wu D, Shen D. VertNet: Accurate vertebra localization and identification network from CT images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 281-290 (DOI: 10.1007/978-3-030-87240-3_27)

306.

Wang S, Zhuang Z, Xuan K, Qian D, Xue Z, Xu J, Liu Y, Chai Y, Zhang L, Wang Q, Shen D. 3DMet: 3D medical image transformer for knee cartilage defect assessment. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 347-355 (DOI: 10.1007/978-3-030-87589-3_36)

307.

Xing X, Ma Y, Jin L, Sun T, Xue Z, Shi F, Wu J, Shen D. A Multi-Scale graph network with Multi-Head attention for histopathology image diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 20-Jul (Link)

308.

Ke J, Shen Y, Liang X, Shen D. Contrastive learning based stain normalization across multiple tumor histopathology. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 571-580 (DOI: 10.1007/978-3-030-87237-3_55)

309.

Lu M, Pan Y, Nie D, Liu F, Shi F, Xia Y, Shen D. SMILE: Sparse-Attention based multiple instance contrastive learning for glioma Sub-Type classification using pathological images. Proceedings of Machine Learning Research (PMLR) - MICCAI Workshop. 2021; 159-169 (Link)

310.

Li R, Karanam S, Zheng M, Chen T, Wu Z.. Everybody is unique: Towards unbiased human mesh recovery. International Workshop on Thoracic Image Analysis. 2021; PP (DOI: 10.48550/arXiv.2107.06239)

311.

Ge Y, Xiao Y, Xu Z, Zheng M, Karanam S, Chen T, Itti L, Wu Z. A peek into the reasoning of neural networks: Interpreting with structural visual concepts. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021; 2195-2204 (DOI: 10.1109/CVPR46437.2021.00223)

312.

Aich A, Zheng M, Karanam S, Chen T, Roy-Chowdhury A, Wu Z. Spatio-Temporal representation factorization for Video-Based person Re-Identification. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021; 152-162 (DOI: 10.1109/ICCV48922.2021.00022)

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Gong X, Sharma A, Karanam S, Wu Z, Chen T, Doermann D, Innanje A. Ensemble attention distillation for Privacy-Preserving federated learning. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021; 15076-15086 (DOI: 10.1109/ICCV48922.2021.01480)

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Li R, Karanam S, Li R, Chen T, Bhanu B, Wu Z. Learning local recurrent models for human mesh recovery. International Conference on 3D Vision (3DV). 2021; 555-564 (DOI: 10.1109/3DV53792.2021.00065)

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Xu J, Chen E, Chen X, Chen T, Sun S. Multi-Scale neural odes for 3D medical image registration. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 213-223 (DOI: 10.1007/978-3-030-87202-1_21)

316.

Li Z, Cui Z, Wang S, Qi Y, Ouyang X, Chen Q, Yang Y, Xue Z, Shen D, Chen J. Domain generalization for mammography detection via Multi-Style and Multi-View contrastive learning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 98-108 (DOI: 10.1007/978-3-030-87234-2_10)

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Li X, Chen Z, Lou X, Yang J, Chen Y, Shen D. Multimodal MRI acceleration via deep cascading networks with Peer-Layer-Wise dense connections. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 329-339 (DOI: 10.1007/978-3-030-87231-1_32)

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Chen E, Ye Y, Chen X, Lyu J, Zhang Z, Hu Y, Chen T, Xu J, Sun S. Accelerating 3D MULTIPLEX MRI reconstruction with deep learning. International Society for Magnetic Resonance in Medicine (ISMRM). 2021; PP (DOI: 10.48550/arXiv.2105.08163)

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Johnson P, Jeong G, Hammernik K, Schlemper J, Qin C, Duan J, Rueckert D, Lee J, Pezzotti N, Weerdt E, Yousefi S. Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge. International Workshop on Machine Learning for Medical Image Reconstruction (MLMIR). 2021; 25-34 (DOI: 10.1007/978-3-030-88552-6_3)

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Gu D, Cao X, Liu G, Shen D, Xue Z. Multiresolution registration network (MRN) hierarchy with prior knowledge learning. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 61-69 (DOI: 10.1007/978-3-030-87589-3_7)

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Gu D, Cao X, Liu G, Xue Z, Shen D. Variational encoding and decoding for hybrid supervision of registration network. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 50-60 (DOI: 10.1007/978-3-030-87589-3_6)

322.

Bessadok A, Nebli A, Mahjoub M, Li G, Lin W, Shen D, Rekik I. A Few-Shot learning graph Multi-Trajectory evolution network for forecasting multimodal baby connectivity development from a baseline timepoint. International Workshop on Predictive Intelligence in Medicine. 2021; 11月24日 (DOI: 10.1007/978-3-030-87602-9_2)

323.

Tao H, Qiao Y, Zhang L, Zhan Y, Xue Z, Wang Q. Anatomical Structure-Aware pulmonary nodule detection via parallel Multi-Task roI head. International Workshop on Predictive Intelligence in Medicine. 2021; 212-220. (DOI: 10.1007/978-3-030-87602-9_20)

324.

Jiang C, Cui Z, Wei D, Sun Y, Liu J, Wei J, Chen Q, Wu D, Shen D. Spine-Rib segmentation and labeling via hierarchical matching and rib guided registration. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 537-545 (DOI: 10.1007/978-3-030-87589-3_55)

325.

Liu J, Cui Z, Sun Y, Jiang C, Chen Z, Yang H, Zhang Y, Wu D, Shen D. Multi-Scale segmentation network for rib fracture classification from CT images. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 546-554 (DOI: 10.1007/978-3-030-87589-3_56)

326.

Chen E, Chen X, Lyu J, Liu Q, Zhang Z, Ding Y, Zhang S, Chen T, Xu J, Sun S. Cardiac functional analysis with Cine MRI via deep learning reconstruction. International Society for Magnetic Resonance in Medicine (ISMRM). 2021; PP (DOI: 10.48550/arXiv.2105.08157)

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Chen X, Edalati M, Liu Q, Shou X, Sharma A, Watkins M, Lenihan D, Hu L, Lanza G, Chen T, Sun S. Fully automated myocardium strain analysis using deep learning. International Society for Magnetic Resonance in Medicine (ISMRM). 2021; PP (Link)

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Zhang X, Cui Z, Feng J, Song Y, Wu D, Shen D. CorLab-Net: Anatomical Dependency-Aware Point-Cloud learning for automatic labeling of coronary arteries. International Workshop on Machine Learning in Medical Imaging (MLMI). 2021; 576-585 (DOI: 10.1007/978-3-030-87589-3_59)

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Ouyang X, Che J, Chen Q, Li Z, Zhan Y, Xue Z, Wang Q, Cheng J, Shen D. Self-Adversarial learning for detection of clustered microcalcifications in mammograms. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2021; 78-87 (DOI: 10.1007/978-3-030-87234-2_8)

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Shen Z, Ouyang X, Wang Z, Zhan Y, Xue Z, Wang Q, Cheng J, Shen D. Nodule synthesis and selection for augmenting chest X-Ray nodule detection. Chinese Conference on Pattern Recognition and Computer Vision (PRCV). 2021; 536-547 (DOI: 10.1007/978-3-030-88010-1_45)

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Wang J, Zhang L, Wang Q, Chen L, Shi J, Chen X, Li Z, Shen D. Multi-Class ASD classification based on functional connectivity and functional correlation tensor via Multi-Source domain adaptation and Multi-View sparse representation. IEEE Transactions on Medical Imaging. 2020; 39(10):3137-3147 (PMID: 32305905)

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Ren X, Ahmad S, Zhang L, Xiang L, Nie D, Yang F, Wang Q, Shen D. Task decomposition and synchronization for semantic biomedical image segmentation. IEEE Transactions on Image Processing. 2020; 29:7497-7510 (DOI: 10.1109/TIP.2020.3003735)

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Karanam S, Li R, Yang F, Hu W, Chen T, Wu Z. Towards contactless patient positioning. IEEE Transactions on Medical Imaging. 2020; 39(8):2701-2710 (PMID: 32365022)

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Kang H, Xia L, Yan F, Wan Z, Shi F, Yuan H, Jiang H, Wu D, Sui H, Zhang C, Shen D. Diagnosis of Coronavirus Disease 2019 (COVID-19) with structured latent Multi-View representation learning. IEEE Transactions on Medical Imaging. 2020; 39(8):2606-2614 (PMID: 32386147)

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Ouyang X, Huo J, Xia L, Shan F, Liu J, Mo Z, Yan F, Ding Z, Yang Q, Song B, Shi F, Yuan H, Wei Y, Cao X, Gao Y, Wu D, Wang Q, Shen D. Dual-Sampling attention network for diagnosis of COVID-19 from community acquired pneumonia. IEEE Transactions on Medical Imaging. 2020; 39(8): 2595-2605 (PMID: 32730212)

336.

Jie B, Liu M, Lian C, Shi F, Shen D. Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Analysis. 2020; 63:101709 (PMID: 32417715)

337.

Wei D, Ahmad S, Huo J, Huang P, Yap P, Xue Z, Sun J, Li W, Shen D, Wang Q. SLIR: Synthesis, localization, inpainting, and registration for Image-Guided thermal ablation of liver tumors. Medical Image Analysis. 2020; 65:101763 (PMID: 32623279)

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Lei B, Huang S, Li H, Li R, Bian C, Chou Y, Qin J, Zhou P, Gong X, Cheng J. Self-co-Attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Analysis. 2020; 64:101753 (PMID: 32574986)

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Wang Y, Lu X, Zhang Y, Zhang X, Wang K, Liu J, Li X, Hu R, Meng X, Dou S, Hao H, Zhao X, Hu W, Li C, Gao Y, Wang Z, Lu G, Yan F, Zhang B. Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care. EBioMedicine. 2020; 54:102724 (PMID: 32251997)

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Xing X, Jin L, Li Q, Yang Q, Han H, Xu C, Wei Z, Zhan Y, Zhou XS, Xue Z, Chu X, Peng Z, Shi F. Modeling essential connections in obsessive-compulsive disorder patients using functional MRI. Brain and behavior. 2020; 10(2):e01499 (DOI: 10.1002/brb3.1499)

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Hua R, Huo Q, Gao Y, Sui H, Zhang B, Sun Y, Mo Z, Shi F. Segmenting brain tumor using cascaded V-Nets in multimodal MR images. Frontiers in Computational Neuroscience. 2020; 14:09 (PMID: 32116623)

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Chen Y, Wang Y, Zhang Y, Zhang N, Zhao S, Zeng H, Deng W, Huang Z, Liu S, Song B. A quantitative and radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: A retrospective cohort study. International Journal of Medical Sciences. 2020; 17(12):1773-1782 (PMID: 32714080)

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Wang Y, Chen Y, Wei Y, Li M, Zhang Y, Zhang N, Zhao S, Zeng H, Deng W, Huang Z, Ye Z, Wan S, Song B. Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: A preliminary study. Annals of Translational Medicine. 2020; 8(9):594. (PMID: 32566621)

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Wei H, Tang X, Zhang M, Li Q, Xing X, Zhou X, Xue Z, Zhu W, Chen Z, Shi F. The delineation of largely deformed brain midline using Regression-Based line detection network. Medical Physics. 2020; 47(11):5531-5542 (PMID: 32471017)

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Sun K, Qu L, Lian C, Pan Y, Hu D, Xia B, Li X, Chai W, Yan F, Shen D. High-Resolution breast MRI reconstruction using a deep convolutional generative adversarial network. Journal of Magnetic Resonance Imaging. 2020; 52(6):1852-1858 (PMID: 32656955)

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Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, Shao W, Shi F, Yuan H, Jiang H, Wu D, Wei Y, Gao Y, Sui H, Zhang D, Shen D. Adaptive feature selection guided deep forest for COVID-19 classification with chest CT. IEEE Journal of Biomedical and Health Informatics. 2020; 24(10):2798-2805 (PMID: 32845849)

347.

马辰莺, 周菊英, 徐晓婷, 郭建, 韩妙飞, 高耀宗, 王章龙, 周婧劼. 基于深度学习宫颈癌靶区自动分割勾画临床研究. 中华放射肿瘤学杂志. 2020; 29(10):859-865 (Link: 中国知网)

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Cheng Z, Qin L, Cao Q, Dai J, Pan A, Yang W, Gao Y, Chen L, Yan F. Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia. Radiology Infectious Diseases. 2020; 7(2):55-61 (PMID: 32346594)

349.

李大胜, 王娜娜, 董建平, 霍志毅, 裴丽君, 刘曦. 基于人工智能测量指标的新型冠状病毒肺炎CT影像鉴别诊断. 中国医疗设备. 2020; 35(06):70-74 (Link: 中国知网)

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Zhang J, Shi F, Chen L, Xue Z, Zhang L, Qian D. Ischemic stroke segmentation from CT perfusion scans using Cluster-Representation learning. Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. 2020; 67-76 (DOI: 10.1007/978-3-030-66843-3_7)

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Liu Z, Gu D, Zhang Y, Cao X, Xue Z. Automatic segmentation of Non-Tumor tissues in glioma MR brain images using deformable registration with partial convolutional networks. International Medical Image Computing and Computer-Assisted Intervention Brainlesion Workshop. 2020; 41-50 (DOI: 10.1007/978-3-030-72084-1_4)

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Xiao B, He N, Wang Q, Xue Z, Chen L, Yan F, Shi F, Shen D. Joint Appearance-Feature domain adaptation: Application to QSM segmentation transfer. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 241-249 (DOI: 10.1007/978-3-030-59861-7_25)

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Yao L, Jiang P, Xue Z, Zhan Y, Wu D, Zhang L, Wang Q, Shi F, Shen D. Graph convolutional network based point cloud for head and neck vessel labeling. International Workshop on Machine Learning in Medical Imaging (MLMI). 2020; 474-483 (DOI: 10.1007/978-3-030-59861-7_48)

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Shen X, Ouyang X, Liu T, Shen D. Cascaded networks for thyroid nodule diagnosis from ultrasound images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 145-154 (DOI: 10.1007/978-3-030-71827-5_19)

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Lu J, Ouyang X, Liu T, Shen D. Identifying thyroid nodules in ultrasound images through Segmentation-Guided discriminative localization. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 135-144 (DOI: 10.1007/978-3-030-71827-5_18)

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Xing X, Jin L, Li Q, Chen L, Xue Z, Peng Z, Shi F, Shen D. Detection of discriminative neurological circuits using hierarchical graph convolutional networks in fMRI sequences. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis. 2020; 121-130 (DOI: 10.1007/978-3-030-60365-6_12)

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Huo J, Si L, Ouyang X, Yao W, Xue Z, Wang Q, Shen D, Zhang L. A Self-Ensembling framework for Semi-Supervised knee cartilage defects assessment with Dual-Consistency. International Workshop on Predictive Intelligence in Medicine. 2020; 200-209 (DOI: 10.1007/978-3-030-59354-4_19)

358.

Li T, Xuan K, Xue Z, Chen L, Zhang L, Qian D. Cross-View label transfer in knee MR segmentation using iterative context learning. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. 2020; 96-105 (DOI: 10.1007/978-3-030-60548-3_10)

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Chen E, Chen T, Sun S. MRI image reconstruction via learning optimization using neural ODEs. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 83-93 (DOI: 10.1007/978-3-030-59713-9_9)

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Georgakis G, Li R, Karanam S, Chen T, Kosecka J, Wu Z. Hierarchical kinematic human mesh recovery. European Conference on Computer Vision. 2020; 768-784 (DOI: 10.1007/978-3-030-58520-4_45)

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Cao X, Fan J, Dong P, Ahmad S, Yap P, Shen D. Image registration using machine and deep learning. Handbook of Medical Image Computing and Computer Assisted Intervention. Academic Press. 2020; 319-342 (DOI: 10.1016/B978-0-12-816176-0.00019-3)

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Liu W, Li R, Zheng M, Karanam S, Wu Z, Bhanu B, Radke R, Camps O. Towards visually explaining variational autoencoders. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020; 8642-8651 (DOI: 10.1109/CVPR42600.2020.00867)

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Xuan K, Sun S, Xue Z, Wang Q, Liao S. Learning MRI K-Space subsampling pattern using progressive weight pruning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 178-187 (DOI: 10.1007/978-3-030-59713-9_18)

364.

Yang F, Li R, Georgakis G, Karanam S, Chen T, Ling H, Wu Z. Robust Multi-Modal 3D patient body modeling. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 86-95 (DOI: 10.1007/978-3-030-59716-0_9)

365.

Gu D, Cao X, Ma S, Chen L, Liu G, Shen D. Pair-Wise and Group-Wise deformation consistency in deep registration network. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 171-180 (DOI: 10.1007/978-3-030-59716-0_17)

366.

Lu Z, Li Z, Wang J, Shi J, Shen D. Two-Stage Self-Supervised Cycle-Consistency network for reconstruction of Thin-Slice MR images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 3月12日 (DOI: 10.1007/978-3-030-87231-1_1)

367.

Chen L, Cao X, Chen L, Gao Y, Shen D, Wang Q, Xue Z. Semantic hierarchy guided registration networks for Intra-Subject pulmonary CT image alignment. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 181-189 (DOI: 10.1007/978-3-030-59716-0_18)

368.

Shan F, Gao Y, Wang J, Shi W, Shi N, Han M, Xue Z, Shen D, Shi Y. Lung infection quantification of COVID-19 in CT images with deep learning. arXiv. 2020; 2.00347E+11 (DOI: 10.48550/arXiv.2003.04655)

369.

Tang Z, Zhao W, Xie X, Zhong Z, Shi F, Liu J, Shen D. Severity assessment of coronavirus disease 2019 (COVID-19) using quantitative features from chest CT images. arXiv. 2020; 2.00312E+12 (DOI: 10.48550/arXiv.2003.11988)

370.

Li T, Wang Z, Chen Y, Zhang L, Gao Y, Shi F, Qian D, Wang Q, Shen D. Two-Stage Mapping-Segmentation framework for delineating COVID-19 infections from heterogeneous CT images. International Workshop on Thoracic Image Analysis. 2020; 3月13日 (DOI: 10.1007/978-3-030-62469-9_1)

371.

Yu H, Sun S, Yu H, Chen X, Shi H, Huang T, Chen T. FOAL: Fast online adaptive learning for cardiac motion estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020; 4313-4323 (DOI: 10.1109/CVPR42600.2020.00437)

372.

Yu H, Chen X, Shi H, Chen T, Huang T, Sun S. Motion pyramid networks for accurate and efficient cardiac motion estimation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2020; 436-446 (DOI: 10.1007/978-3-030-59725-2_42)

373.

Chen E, Chen X, Lv J, Zheng Y, Chen T, Xu J, Sun S. Real-Time cardiac cine MRI with residual convolutional recurrent neural network. International Society for Magnetic Resonance in Medicine (ISMRM). 2020; PP (DOI: 10.48550/arXiv.2008.05044)

374.

Chen P, Chen X, Chen E, Yu H, Chen T, Sun S. Anatomy-Aware cardiac motion estimation. International Workshop on Machine Learning in Medical Imaging (MLMI). 2020; 150-159 (DOI: 10.1007/978-3-030-59861-7_16)

375.

Huang Q, Chen E, Yu H, Guo Y, Chen T, Metaxas D, Sun S. Measure anatomical thickness from cardiac MRI with deep neural networks. International Workshop on Statistical Atlases and Computational Models of the Heart. 2020; 44-55 (DOI: 10.1007/978-3-030-68107-4_5)

376.

Wang S, Huo J, Ouyang X, Che J, Xue Z, Shen D, Wang Q, Cheng J. mr2NST: Multi-Resolution and Multi-Reference neural style transfer for mammography. International Workshop on Predictive Intelligence in Medicine. 2020; 169-177 (DOI: 10.1007/978-3-030-59354-4_16)

2019

Journals

377.

Nie D, Wang L, Gao Y, Lian J, Shen D. STRAINet: Spatially varying stochastic residual adversarial networks for MRI pelvic organ segmentation. IEEE Transactions on Neural Network and Learning Systems. 2019; 30(5):1552-1564 (PMID: 30307879)

378.

Fan J, Cao X, Yap P, Shen D. BIRNet: Brain image registration using Dual-Supervised fully convolutional networks. Medical Image Analysis. 2019; 54:193-206 (PMID: 30939419)

379.

Wang Q, Zhou X, Wang C, Liu Z, Huang J, Zhou Y, Li C, Zhuang H, Chen J. WGAN-Based synthetic minority Over-Sampling technique: Improving semantic Fine-Grained classification for lung nodules in CT images. IEEE Access. 2019; 7:18450-18463. (DOI: 10.1109/ACCESS.2019.2896409)

380.

Yang H, Xu H, Li Q, Jin Y, Jiang W, Wang J, Wu Y, Li W, Yang C, Li X, Xiao S, Shi F, Wang T. Study of brain morphology change in Alzheimer's Disease and amnestic mild cognitive impairment compared with normal controls. General Psychiatry. 2019; 32(2):e100005 (PMID: 31179429)

381.

王祥, 李清楚, 邵影, 邹勤, 孙安, 陈彦博, 陈如谭, 高耀宗, 刘士远, 萧毅. 基于三维卷积神经网络肺结节深度学习算法模型临床效能初步评估. 放射学实践. 2019; 34(9):5 (DOI: 10.13609/j.cnki.1000-0313.2019.09.002)

Conferences

382.

Zhang M, Wu D, Liu Q, Li Q, Zhan Y, Zhou X. Multi-Task convolutional neural network for joint bone age assessment and ossification center detection from hand radiograph. International Workshop on Machine Learning in Medical Imaging (MLMI). 2019; 681-689 (DOI: 10.1007/978-3-030-32692-0_78)

383.

Rockers E, Wong K, Funk Q, Xue J, Masdue J, Pascual B. Evaluation of T1 hypointensity and T2 hyperintensity white matter lesion segmentation algorithm. 25th Meeting of Human Brain Mapping (OHBM). 2019; T582, Jun 9-13, Rome (N/A)

384.

Mo Z, Gong Z, Liu L, Cheng J. Automated quality control of adult frontal chest X-Ray with deep artificial neural networks. Radiological Society of North America Annual Meeting. 2019; PP (N/A)

385.

Han M, Zhang Y, Zhou Q, Rong C, Zhan Y, Zhou X, Gao Y. Large-Scale evaluation of V-Net for organ segmentation in image guided radiation therapy. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (SPIE). 2019; 10951:167-173 (DOI: 10.1117/12.2512318)

386.

Bai M, Zhang M, Wu D, Liu Q, Zhan Y, Zhou X, Qiao Z. Automated bone age assessment with joint ossification center detection from hand radiography. Radiological Society of North America Annual Meeting. 2019; PP (N/A)

387.

Xiao B, Cheng X, Li Q, Wang Q, Zhang L, Wei D, Zhan Y, Zhou X, Xue Z, Lu G, Shi F. Weakly supervised confidence learning for brain MR image dense parcellation. International Workshop on Machine Learning in Medical Imaging (MLMI). 2019; 409-416 (DOI: 10.1007/978-3-030-32692-0_47)

388.

Li Q, Huo Q, Xing X, Zhan Y, Zhou X, Shi F. Spatial and depth weighted neural network for diagnosis of Alzheimer’s Disease. Medical Imaging 2019: Computer-Aided Diagnosis (SPIE). 2019; 10950:570-577 (DOI: 10.1117/12.2512645)

389.

Xing X, Jin L, Shi F, Peng Z. Diagnosis of OCD using functional connectome and riemann kernel PCA. Medical Imaging 2019: Computer-Aided Diagnosis (SPIE). 2019; 10950:610-620 (DOI: 10.1117/12.2512316)

390.

Li Q, Xing X, Sun Y, Xiao B, Wei H, Huo Q, Zhang M, Zhou X, Zhan Y, Xue Z, Shi F. Novel iterative attention focusing strategy for joint pathology localization and prediction of MCI progression. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 307-315 (DOI: 10.1007/978-3-030-32251-9_34)

391.

Xing X, Li Q, Wei H, Zhang M, Zhan Y, Zhou X, Xue Z, Shi F. Dynamic spectral graph convolution networks with assistant task training for early mci diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 639-646 (DOI: 10.1007/978-3-030-32251-9_70)

392.

Wang S, He K, Nie D, Zhou S, Gao Y, Shen D. Hierarchical representation for CT prostate segmentation. IEEE 16th International Symposium on Biomedical Imaging (ISBI). 2019; 1501-1504 (DOI: 10.1109/ISBI.2019.8759282)

393.

Wei D, Ahmad S, Huo J, Peng W, Ge Y, Xue Z, Yap P, Li W, Shen D, Wang Q. Synthesis and Inpainting-Based MR-CT registration for Image-Guided thermal ablation of liver tumors. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 512-520 (DOI: 10.1007/978-3-030-32254-0_57)

394.

Liu Q, Tang X, Guo D, Qin Y, Jia P, Zhan Y, Zhou X, Wu D. Multi-Class gradient harmonized dice loss with application to knee MR image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 86-94 (DOI: 10.1007/978-3-030-32226-7_10)

395.

Ge Y, Wei D, Xue Z, Wang Q, Zhou X, Zhan Y, Liao S. Unpaired MR to CT synthesis with explicit structural constrained adversarial learning. IEEE 16th International Symposium on Biomedical Imaging (ISBI). 2019; 1096-1099 (DOI: 10.1109/ISBI.2019.8759529)

396.

Xuan K, Wei D, Wu D, Xue Z, Zhan Y, Yao W, Wang Q. Reconstruction of isotropic High-Resolution MR image from multiple anisotropic scans using sparse fidelity loss and adversarial regularization. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 65-73 (DOI: 10.1007/978-3-030-32248-9_8)

397.

Ge Y, Xue Z, Cao T, Liao S. Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Medical Imaging 2019: Image Processing (SPIE). 2019; 10949:28-35. (DOI: 10.1117/12.2512479)

398.

Mu G, Chen Y, Wu D, Zhan Y, Zhou X, Gao Y. Relu cascade of feature pyramid networks for CT pulmonary nodule detection. International Workshop on Machine Learning in Medical Imaging (MLMI). 2019; 444-452 (DOI: 10.1007/978-3-030-32692-0_51)

399.

Sun K, Jiao Z, Yan X, Zhang H, Cheng J, Yan F, Shen D. Comparison of four Radiomics-Based classification methods in diagnosis of breast lesions with Multi-B Diffusion-Weighted MR imaging. Radiological Society of North America Annual Meeting. 2019; PP (N/A)

400.

Sun K, Jiao Z, Yan X, Zhang H, Cheng J, Shen D, Yan F. Learning effective radiomic features for characterization of breast lesions with Multi-B Diffusion-Weighted MR imaging. Radiological Society of North America Annual Meeting. 2019; PP (N/A)

401.

Ouyang X, Xue Z, Zhan Y, Zhou X, Wang Q, Zhou Y, Wang Q, Cheng J. Weakly supervised segmentation framework with uncertainty: A study on pneumothorax segmentation in chest X-Ray. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2019; 613-621 (DOI: 10.1007/978-3-030-32226-7_68)

2018

Journals

402.

Wang Z, Wei L, Wang L, Gao Y, Chen W, Shen D. Hierarchical vertex Regression-Based segmentation of head and neck CT images for radiotherapy planning. IEEE Transactions on Image Processing. 2018; 27(2):923-937 (PMID: 29757737)

403.

Cao X, Yang J, Gao Y, Wang Q, Shen D. Region-Adaptive deformable registration of CT/MRI pelvic images via Learning-Based image synthesis. IEEE Transactions on Image Processing. 2018; 10.1109/TIP.2018.2820424. (PMID: 29994091)

404.

Wu Z, Gao Y, Shi F, Ma G, Jewells V, Shen D. Segmenting hippocampal subfields from 3T MRI with Multi-Modality images. Medical Image Analysis. 2018; 43:10-22 (PMID: 28961451)

405.

Wu Z, Guo Y, Park S, Gao Y, Dong P, Lee S, Shen D. Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Analysis. 2018; 43:198-213 (PMID: 29149715)

406.

Lei B, Huang S, Li R, Bian C, Li H, Chou Y, Cheng J. Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional Encoder-Decoder network. Neurocomputing. 2018; 321:178-186 (DOI: 10.1016/j.neucom.2018.09.043)

Conferences

407.

Hua R, Huo Q, Gao Y, Sun Y, Shi F. Multimodal brain tumor segmentation using cascaded V-Nets. International MICCAI Brainlesion Workshop. 2018; 49-60 (DOI: 10.1007/978-3-030-11726-9_5)

408.

Zhang L, Zhang H, Rekik I, Gao Y, Wang Q, Shen D. Malignant brain tumor classification using the random forest method. Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). 2018; 14-21 (DOI: 10.1007/978-3-319-97785-0_2)

409.

Zhou S, Nie D, Adeli E, Gao Y, Wang L, Yin J, Shen D. Fine-Grained segmentation using hierarchical dilated neural networks. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2018; 488-496 (DOI: 10.1007/978-3-030-00937-3_56)

410.

Fan J, Cao X, Xue Z, Yap P, Shen D. Adversarial similarity network for evaluating image alignment in deep learning based registration. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2018; 739-746 (DOI: 10.1007/978-3-030-00928-1_83)

411.

Nie D, Gao Y, Wang L, Shen D. ASDNet: Attention based Semi-Supervised deep networks for medical image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2018; 370-378 (DOI: 10.1007/978-3-030-00937-3_43)

412.

Wang Q, Cheng J, Liu Z, Huang Z, Li C, Chen B, Liu Z, Huang J, Wang C, Zhou X. Multi-Order transfer learning for pathologic diagnosis of pulmonary nodule malignancy. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2018; 2813-2815 (DOI: 10.1109/BIBM.2018.8621407)

413.

Wang Q, Cheng J, Zhou Y, Zhang H, Li C, Chen B, Liu Z, Huang J, Wang C, Zhou X. Low-Shot Multi-Label incremental learning for thoracic diseases diagnosis. International Conference on Neural Information Processing. 2018; 420-432 (DOI: 10.1007/978-3-030-04239-4_38)

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