| 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 | 21 | 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 | 16 | 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 | 15 | 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 | 14* | 2021 |
| 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 | 12 | 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 | 9 | 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 | 7 | 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 | 6 | 2023 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 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 | 3 | 2024 |
| 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 | 3 | 2021 |
| Uncertainty‐aware refinement framework for ovarian tumor segmentation in CECT volume J Hu, Z Cui, X Zhang, J Zhang, Y Ge, H Zhang, Y Lu, D Shen Medical Physics 51 (4), 2678-2694, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| MoSID: Modality-specific information disentanglement from multi-parametric MRI for breast tumor segmentation J Zhang, Q Chen, L Zhou, Z Cui, F Gao, Z Li, Q Feng, D Shen MICCAI Workshop on Cancer Prevention through Early Detection, 94-104, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| 基于分块核主成分分析和支持向量机的故障检测. 李锦冰， 韩冰， 冯守渤， 张佳冬， 李宇， 钟凯， 韩敏 Control Theory & Applications/Kongzhi Lilun Yu Yinyong 37 (4), 2020 | 1 | 2020 |
| 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 | | 2024 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence在 shanghaitech.edu.cn 的电子邮件经过验证
