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 | 687 | 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 | 191 | 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 | 138 | 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 | 97 | 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 | 49 | 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 | 30 | 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 | 25 | 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 | 20 | 2022 |
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 | 18 | 2023 |
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 | 18 | 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 | 15 | 2022 |
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. NPJ Digit Med 4: 60 Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ... | 7 | 2021 |
Tsmobn: Interventional generalization for unseen clients in federated learning M Jiang, X Zhang, M Kamp, X Li, Q Dou | 3* | 2021 |
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 | 2 | 2023 |
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 | 2 | 2021 |
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 |
Preface DART 2023 L Koch, MJ Cardoso, E Ferrante, M Islam, M Jiang, K Kamnitsas, N Rieke, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2024 | | 2024 |
Technical innovations to improve artificial intelligence generalizability of automated medical image diagnosis for clinical practice M Jiang, C Chen, Q Liu, PA Heng, Q Dou Machine Learning, Medical AI and Robotics: Translating theory into the …, 2023 | | 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, 2023 | | 2023 |
Local Superior Soups: A Catalyst for Reducing Communication Rounds in Federated Learning with Pre-trained Model M Chen, M Jiang, Q Dou, Z Wang, X Li | | 2023 |