My research interest lies in computer vision and machine learning with applications for medical image analysis. I aim to promote the applicability (regarding explainability, privacy and generalizability) of AI research for healthcare. Recently I focus on federated learning.
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. Meirui Jiang, Hongzheng Yang, Chen Cheng, Qi Dou.
IEEE Transactions on Medical Imaging (TMI), 2023. (Special Issue on Federated Learning for Medical Imaging)
Federated Learning Enables Big Data for Rare Cancer Boundary Detection.
Sarthak Pati, Ujjwal Baid, ..., Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, (CUHK Team) ...
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
Junming Chen*, Meirui Jiang*, Qi Dou, Qifeng Chen.
IEEE/CVF Winter Conference on Applications of Computer Vision 2023, (WACV), 2023.
[paper] [code] [project]
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou.
Medical Image Computing and Computer Assisted Interventions 2022, (MICCAI), 2022.(Eearly accept)
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. Meirui Jiang*, Zirui Wang*, Qi Dou.
AAAI Conference on Artificial Intelligence (AAAI), 2022. (Graduate Student Scholarship)
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou.
International Conference on Learning Representations (ICLR), 2021.
[paper] [code] [Flower FL platform / Flower Doc]
Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving Multinational Validation Study.
Qi Dou, Tiffany Y So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon Yu, Pheng Ann Heng.
npj Digital Medicine, Nature Publishing Group, 2021.
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features. Meirui Jiang, Xiaoxiao Li, Xiaofei Zhang, Michael Kamp, Qi Dou.