3 papers
cs.CV2026
ISLA: A U-Net for MRI-based acute ischemic stroke lesion segmentation with deep supervision, attention, domain adaptation, and ensemble learning
Vincent Roca, Martin Bretzner, Hilde Henon +3
Accurate delineation of acute ischemic stroke lesions in MRI is a key component of stroke diagnosis and management. In recent years, deep learning models have been successfully app…
cs.LG2025
Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction
Vincent Roca, Marc Tommasi, Paul Andrey +8
Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health. However, training robust BrainAGE models requires large dataset…
cs.CV2024
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images
Vincent Roca, Grégory Kuchcinski, Jean-Pierre Pruvo +2
In MRI studies, the aggregation of imaging data from multiple acquisition sites enhances sample size but may introduce site-related variabilities that hinder consistency in subsequ…