Federated Multi-organ Segmentation with Inconsistent Labels

14 June 2022

Papers citing "Federated Multi-organ Segmentation with Inconsistent Labels"

5 / 5 papers shown

Title
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 14 6 0 30 Jun 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation Tobias Bernecker Annette Peters C. Schlett F. Bamberg Fabian J. Theis Daniel Rueckert J. Weiss Shadi Albarqouni FedML MedIm 26 19 0 23 May 2022
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 37 45 0 20 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 165 770 0 15 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 83 478 0 03 Feb 2021