3 papers
eess.IV2025
Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
Liang Shang, William A. Sethares, Anusha Adluru +4
Precise characterization of stroke lesions from MRI data has immense value in prognosticating clinical and cognitive outcomes following a stroke. Manual stroke lesion segmentation…
physics.med-ph2024
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 (…
cs.CV2024
Segmenting Small Stroke Lesions with Novel Labeling Strategies
Liang Shang, Zhengyang Lou, Andrew L. Alexander +4
Deep neural networks have demonstrated exceptional efficacy in stroke lesion segmentation. However, the delineation of small lesions, critical for stroke diagnosis, remains a chall…