most citedMICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2025

Skull stripping with purely synthetic data

Jong Sung Park, Juhyung Ha, Siddhesh Thakur +3

While many skull stripping algorithms have been developed for multi-modal and multi-species cases, there is still a lack of a fundamentally generalizable approach. We present PUMBA…

physics.med-ph2024★ 2 cited

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33

White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…