| Fedbn: Federated learning on non-iid features via local batch normalization X Li, M Jiang, X Zhang, M Kamp, Q Dou ICLR 2021, 2021 | 729 | 2021 |
| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 571 | 2020 |
| Braingnn: Interpretable brain graph neural network for fmri analysis X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ... Medical Image Analysis 74, 102233, 2021 | 406 | 2021 |
| Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results X Li, Y Gu, N Dvornek, LH Staib, P Ventola, JS Duncan Medical image analysis 65, 101765, 2020 | 360 | 2020 |
| Subgraph federated learning with missing neighbor generation K Zhang, C Yang, X Li, L Sun, SM Yiu Advances in Neural Information Processing Systems 34, 6671-6682, 2021 | 120 | 2021 |
| Adaptive checkpoint adjoint method for gradient estimation in neural ode J Zhuang, N Dvornek, X Li, S Tatikonda, X Papademetris, J Duncan International Conference on Machine Learning, 11639-11649, 2020 | 117 | 2020 |
| Graph neural network for interpreting task-fmri biomarkers X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 108 | 2019 |
| Fl-ntk: A neural tangent kernel-based framework for federated learning analysis B Huang, X Li, Z Song, X Yang International Conference on Machine Learning, 4423-4434, 2021 | 83* | 2021 |
| 2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning X Li, NC Dvornek, X Papademetris, J Zhuang, LH Staib, P Ventola, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 80 | 2018 |
| Brain biomarker interpretation in ASD using deep learning and fMRI X Li, NC Dvornek, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 80 | 2018 |
| Pooling regularized graph neural network for fmri biomarker analysis X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 69 | 2020 |
| Guidelines and evaluation for clinical explainable AI on medical image analysis W Jin, X Li, M Fatehi, G Hamarneh Medical Image Analysis, 2022 | 67 | 2022 |
| Interpretable graph neural networks for connectome-based brain disorder analysis H Cui, W Dai, Y Zhu, X Li, L He, C Yang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 62 | 2022 |
| FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction L Peng, N Wang, N Dvornek, X Zhu, X Li IEEE Transaction on Medical Imaging, 2022 | 61 | 2022 |
| Interpretable multimodality embedding of cerebral cortex using attention graph network for identifying bipolar disorder H Yang, X Li, Y Wu, S Li, S Lu, JS Duncan, JC Gee, S Gu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 55 | 2019 |
| Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? W Jin, X Li, G Hamarneh AAAI 2022, 2022 | 52 | 2022 |
| Lesion attributes segmentation for melanoma detection with multi-task u-net EZ Chen, X Dong, X Li, H Jiang, R Rong, J Wu 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 42 | 2019 |
| Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients N Lu, Z Wang, X Li, G Niu, Q Dou, M Sugiyama ICLR 2022, 2022 | 40 | 2022 |
| Estimating and improving fairness with adversarial learning X Li, Z Cui, Y Wu, L Gu, T Harada arXiv preprint arXiv:2103.04243, 2021 | 33 | 2021 |
| GRLC: Graph representation learning with constraints L Peng, Y Mo, J Xu, J Shen, X Shi, X Li, HT Shen, X Zhu IEEE transactions on neural networks and learning systems, 2023 | 31 | 2023 |
James S. DuncanEbenezer K. Hunt Professor of Biomedical Engineering, Radiology, Electr. Engr., Yale University在 yale.edu 的电子邮件经过验证
