Privacy Preserving Federated Learning in Medical Imaging with
Uncertainty Estimation

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

18 June 2024

Nikolas Koutsoubis

Ravi P. Ramachandran

Papers citing "Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation"

5 / 5 papers shown

Title
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 158 634 0 27 Oct 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption Dimitris Stripelis Hamza Saleem Tanmay Ghai Nikhil J. Dhinagar Umang Gupta ... Greg Ver Steeg Srivatsan Ravi Muhammad Naveed Paul M. Thompson J. Ambite FedML 34 53 0 07 Aug 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 770 0 15 Feb 2021
A Bayesian Federated Learning Framework with Online Laplace Approximation Liang Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng-Chiao Huang Ling Shao FedML 36 53 0 03 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014