Enhancing Network Initialization for Medical AI Models Using
Large-Scale, Unlabeled Natural Images

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images

15 August 2023

Soroosh Tayebi Arasteh

Jakob Nikolas Kather

Daniel Truhn

Papers citing "Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images"

3 / 3 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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 300 5,761 0 29 Apr 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 63 101 0 18 Jan 2021