Collaborative Training of Medical Artificial Intelligence Models with
non-uniform Labels

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels

24 November 2022

Soroosh Tayebi Arasteh

Gustav Mueller-Franzes

Jakob Nikolas Kather

Christiane Kuhl

Daniel Truhn

Papers citing "Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels"

6 / 6 papers shown

Title
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 28 0 0 11 Apr 2025
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review A. Ankolekar S. Boie M. Abdollahyan E. Gadaleta S. A. Hasheminasab ... M. Bussmann S. Khalid H. Kruger Philippe Lambin G. Papanastasiou AI4CE 19 1 0 08 Aug 2024
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images Soroosh Tayebi Arasteh Leo Misera Jakob Nikolas Kather Daniel Truhn S. Nebelung 31 8 0 15 Aug 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy Soroosh Tayebi Arasteh Mahshad Lotfinia T. Nolte Marwin Saehn P. Isfort Christiane Kuhl S. Nebelung Georgios Kaissis Daniel Truhn MedIm 18 8 0 10 Jun 2023
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages Soroosh Tayebi Arasteh C. D. Ríos-Urrego E. Noeth Andreas K. Maier Seung Hee Yang J. Rusz J. Orozco-Arroyave FedML 31 13 0 18 May 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 32 17 0 03 Feb 2023