| Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches J Zhang, J Wu, XS Zhou, F Shi, D Shen Seminars in Cancer Biology, 2023 | 50 | 2023 |
| A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework J Zhang, Z Cui, Z Shi, Y Jiang, Z Zhang, X Dai, Z Yang, Y Gu, L Zhou, ... Patterns 4 (9), 2023 | 24 | 2023 |
| Photoacoustic digital brain and deep-learning-assisted image reconstruction F Zhang, J Zhang, Y Shen, Z Gao, C Yang, M Liang, F Gao, L Liu, H Zhao, ... Photoacoustics 31, 100517, 2023 | 19 | 2023 |
| Hierarchical organ-aware total-body standard-dose PET reconstruction from low-dose PET and CT images J Zhang, Z Cui, C Jiang, S Guo, F Gao, D Shen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 18 | 2023 |
| Learning both dynamic-shared and dynamic-specific patterns for chaotic time-series prediction S Feng, M Han, J Zhang, T Qiu, W Ren IEEE Transactions on Cybernetics 52 (6), 4115-4125, 2020 | 18 | 2020 |
| Limited-view photoacoustic imaging reconstruction with dual domain inputs based on mutual inforamtion J Zhang, H Lan, C Yang, T Lyu, S Guo, F Gao, F Gao 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1522-1526, 2021 | 16* | 2021 |
| A hierarchical graph V-Net with semi-supervised pre-training for histological image based breast Cancer classification Y Li, Y Shen, J Zhang, S Song, Z Li, J Ke, D Shen IEEE Transactions on Medical Imaging, 2023 | 12 | 2023 |
| Mapping in cycles: Dual-domain pet-ct synthesis framework with cycle-consistent constraints J Zhang, Z Cui, C Jiang, J Zhang, F Gao, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 11 | 2022 |
| A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis J Zhang, K Sun, J Yang, Y Hu, Y Gu, Z Cui, X Zong, F Gao, D Shen Communications Engineering 2 (1), 72, 2023 | 10 | 2023 |
| Multi-view vertebra localization and identification from ct images H Wu, J Zhang, Y Fang, Z Liu, N Wang, Z Cui, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis Q Chen, J Zhang, R Meng, L Zhou, Z Li, Q Feng, D Shen IEEE Transactions on Medical Imaging, 2024 | 8 | 2024 |
| INFRARED THERMOGRAPHY–BASED BODY-SURFACE THERMAL INHOMOGENEITY MONITORING TO ASSESS THE SEVERITY OF HYPOPERFUSION IN CRITICALLY ILL PATIENTS J Luo, J Zhang, Q Zhao, H Wang, G Tu, M Luo, D Huang, J Zhang, W Lu, ... Shock 58 (5), 366-373, 2022 | 7 | 2022 |
| Accelerating model-based photoacoustic image reconstruction in vivo based on s-wave Y Shen, J Zhang, D Jiang, Z Gao, F Gao, F Gao 2022 IEEE International Ultrasonics Symposium (IUS), 1-3, 2022 | 7 | 2022 |
| Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy L Teng, B Wang, X Xu, J Zhang, L Mei, Q Feng, D Shen Medical Image Analysis 92, 103045, 2024 | 6 | 2024 |
| Breast fibroglandular tissue segmentation for automated BPE quantification with iterative cycle-consistent semi-supervised learning J Zhang, Z Cui, L Zhou, Y Sun, Z Li, Z Liu, D Shen IEEE Transactions on Medical Imaging, 2023 | 4 | 2023 |
| Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning T Lyu, J Zhang, Z Gao, C Yang, F Gao, F Gao arXiv preprint arXiv:2109.09127, 2021 | 4 | 2021 |
| Prototype learning guided hybrid network for breast tumor segmentation in dce-mri L Zhou, Y Zhang, J Zhang, X Qian, C Gong, K Sun, Z Ding, X Wang, Z Li, ... IEEE Transactions on Medical Imaging, 2024 | 3 | 2024 |
| S-Wave Accelerates Optimization-based Photoacoustic Image Reconstruction in vivo Y Shen, J Zhang, D Jiang, Z Gao, Y Zheng, F Gao, F Gao Ultrasound in Medicine & Biology 50 (1), 18-27, 2024 | 3 | 2024 |
| Interpreting Infrared Thermography with Deep Learning to Assess the Mortality Risk of Critically Ill Patients at Risk of Hypoperfusion J Luo, H Wang, S Tong, J Zhang, M Luo, Q Zhao, Y Zhang, J Zhang, ... Reviews in Cardiovascular Medicine 24 (1), 7, 2023 | 3 | 2023 |
| Carotid vessel wall segmentation through domain aligner, topological learning, and segment anything model for sparse annotation in mr images X Li, X Ouyang, J Zhang, Z Ding, Y Zhang, Z Xue, F Shi, D Shen IEEE Transactions on Medical Imaging, 2024 | 2 | 2024 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceE-mail megerősítve itt: shanghaitech.edu.cn