| Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification Y Gao, D Gu, M Zhou, D Metaxas arXiv preprint arXiv:2406.05596, 2024 | | 2024 |
| Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphoma F Yan, Q Da, H Yi, S Deng, L Zhu, M Zhou, Y Liu, M Feng, J Wang, ... NPJ Precision Oncology 8 (1), 76, 2024 | | 2024 |
| Data-centric foundation models in computational healthcare: A survey Y Zhang, J Gao, Z Tan, L Zhou, K Ding, M Zhou, S Zhang, D Wang arXiv preprint arXiv:2401.02458, 2024 | 15 | 2024 |
| Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... arXiv preprint arXiv:2312.09576, 2023 | 3 | 2023 |
| Text-guided foundation model adaptation for pathological image classification Y Zhang, J Gao, M Zhou, X Wang, Y Qiao, S Zhang, D Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 24 | 2023 |
| Pathology-and-genomics multimodal transformer for survival outcome prediction K Ding, M Zhou, DN Metaxas, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 12 | 2023 |
| Mining multi-center heterogeneous medical data with distributed synthetic learning Q Chang, Z Yan, M Zhou, H Qu, X He, H Zhang, L Baskaran, S Al’Aref, ... Nature communications 14 (1), 5510, 2023 | 6 | 2023 |
| A large-scale synthetic pathological dataset for deep learning-enabled segmentation of breast cancer K Ding, M Zhou, H Wang, O Gevaert, D Metaxas, S Zhang Scientific Data 10 (1), 231, 2023 | 35 | 2023 |
| Deep generative modeling and clustering of single cell Hi-C data Q Liu, W Zeng, W Zhang, S Wang, H Chen, R Jiang, M Zhou, S Zhang Briefings in Bioinformatics 24 (1), bbac494, 2023 | 9 | 2023 |
| Training like a medical resident: Universal medical image segmentation via context prior learning Y Gao, Z Li, D Liu, M Zhou, S Zhang, DN Meta Preprint at https://arxiv. org/abs/2306.02416, 2023 | 13 | 2023 |
| A Tri-light Warning System for Hospitalized COVID-19 Patients: Credibility-based Risk Stratification under Data Shift C Xu, Q Xu, L Liu, M Zhou, Z Xing, Z Zhou, C Zhou, X Li, R Wang, Y Wu, ... medRxiv, 2022.12. 11.22283309, 2022 | 1 | 2022 |
| Predicting unseen antibodies’ neutralizability via adaptive graph neural networks J Zhang, Y Du, P Zhou, J Ding, S Xia, Q Wang, F Chen, M Zhou, X Zhang, ... Nature Machine Intelligence 4 (11), 964-976, 2022 | 14 | 2022 |
| Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study K Ding, M Zhou, H Wang, S Zhang, DN Metaxas The Lancet Digital Health 4 (11), e787-e795, 2022 | 29 | 2022 |
| Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| DualGCN: a dual graph convolutional network model to predict cancer drug response T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang BMC bioinformatics 23 (4), 1-13, 2022 | 16 | 2022 |
| A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark Y Gao, M Zhou, D Liu, Z Yan, S Zhang, DN Metaxas arXiv preprint arXiv:2203.00131, 2022 | 74 | 2022 |
| Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applications K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas arXiv preprint arXiv:2202.08916, 2022 | 21 | 2022 |
| Transfusion: multi-view divergent fusion for medical image segmentation with transformers D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
| Region proposal rectification towards robust instance segmentation of biological images Q Zhangli, J Yi, D Liu, X He, Z Xia, Q Chang, L Han, Y Gao, S Wen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| UTNet: a hybrid transformer architecture for medical image segmentation Y Gao, M Zhou, DN Metaxas International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 437 | 2021 |
Olivier GevaertStanford University在 stanford.edu 的电子邮件经过验证
