4 citations · 12 across the 15 of their papers we have counts for
3 papers · 1 filter
A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI
Eryn Libert-Scott, Emma A. M. Stanley, Vibujithan Vigneshwaran +3
Causally linking disease-related factors to image-derived biomarkers provides a powerful pathway to understanding disease mechanisms. Despite growing interest in applying causal ar…
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81
Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…
From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction
Adrienne Kline, Abhijit Gaonkar, Daniel Pittman +2
Removing patient-specific information from medical images is crucial to enable sharing and open science without compromising patient identities. However, many methods currently use…