| Fedbn: Federated learning on non-iid features via local batch normalization X Li, M Jiang, X Zhang, M Kamp, Q Dou International Conference on Learning Representations (ICLR), 2021., 2021 | 821 | 2021 |
| Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ... NPJ digital medicine 4 (1), 60, 2021 | 205 | 2021 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 180 | 2022 |
| HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images M Jiang, Z Wang, Q Dou AAAI conference on artificial intelligence, 2021 | 118 | 2021 |
| Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark M Wagner, BP Müller-Stich, A Kisilenko, D Tran, P Heger, L Mündermann, ... Medical image analysis 86, 102770, 2023 | 61 | 2023 |
| Federated domain generalization for image recognition via cross-client style transfer J Chen, M Jiang, Q Dou, Q Chen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 36 | 2023 |
| Fair Federated Medical Image Segmentation via Client Contribution Estimation M Jiang, HR Roth, W Li, D Yang, C Zhao, V Nath, D Xu, Q Dou, Z Xu In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance M Jiang, H Yang, X Li, Q Liu, PA Heng, Q Dou International Conference on Medical Image Computing and Computer Assisted …, 2022 | 29 | 2022 |
| DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images H Yang, C Chen, M Jiang, Q Liu, J Cao, PA Heng, Q Dou IEEE Transactions on Medical Imaging, 2022 | 27 | 2022 |
| IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation M Jiang, H Yang, C Cheng, Q Dou IEEE Transactions on Medical Imaging, 2022 | 27 | 2022 |
| Federated learning in ocular imaging: current progress and future direction TX Nguyen, AR Ran, X Hu, D Yang, M Jiang, Q Dou, CY Cheung Diagnostics 12 (11), 2835, 2022 | 21 | 2022 |
| FedSoup: improving generalization and personalization in federated learning via selective model interpolation M Chen, M Jiang, Q Dou, Z Wang, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning M Jiang, X Zhang, M Kamp, X Li, Q Dou | 5* | 2021 |
| Efficient federated tumor segmentation via normalized tensor aggregation and client pruning Y Yin, H Yang, Q Liu, M Jiang, C Chen, Q Dou, PA Heng International MICCAI Brainlesion Workshop, 433-443, 2021 | 4 | 2021 |
| Advancing Diabetic Macular Edema Detection from 3D Optical Coherence Tomography Scans: Integrating Privacy-Preserving AI and Generalizability Techniques—A Prospective … TX Nguyen, M Jiang, D Yang, AR Ran, Z Tang, S Zhang, X Hu, VT Tran, ... NEJM AI 1 (9), AIoa2400091, 2024 | 1 | 2024 |
| Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging M Jiang, Y Zhong, A Le, X Li, Q Dou International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate M Jiang, A Le, X Li, Q Dou The Twelfth International Conference on Learning Representations, 0 | 1 | |
| FEDERATED LEARNING TECHNIQUE Z Xu, HR Roth, M Jiang, W Li, D Yang, C Zhao, V Nath, D Xu US Patent App. 18/124,999, 2024 | | 2024 |
| Applying Novel AI-Based Generalizability Technology and Establishing an Uncertainty Range for Diabetic Macular Edema Detection from 3D Optical Coherence Tomography Scans: A … TX Nguyen, M Jiang, D Yang, TYY Lai, S Szeto, M Ho, T Leng, G Tan, ... Investigative Ophthalmology & Visual Science 65 (7), 3729-3729, 2024 | | 2024 |
| Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage W Ma, C Chen, Y Gong, NY Chan, M Jiang, CHK Mak, JM Abrigo, Q Dou IEEE Transactions on Medical Imaging, 2024 | | 2024 |
Qi DOUAssistant Professor, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk