An Evaluation of Non-Contrastive Self-Supervised Learning for Federated
Medical Image Analysis

An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis

9 March 2023

Soumitri Chattopadhyay

Sreejit Chaudhury

S. Chattopadhyay

Papers citing "An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis"

7 / 7 papers shown

Title
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 29 39 0 23 Mar 2023
Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li Alexei A. Efros Deepak Pathak SSL 45 33 0 29 Sep 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 168 647 0 27 Oct 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 178 182 0 13 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 175 0 17 Sep 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017