3 papers
eess.IV2025
Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings
Juampablo E. Heras Rivera, Hitender Oswal, Tianyi Ren +4
Stroke is among the top three causes of death worldwide, and accurate identification of ischemic stroke lesion boundaries from imaging is critical for diagnosis and treatment. The…
eess.IV2025
How We Won the ISLES'24 Challenge by Preprocessing
Tianyi Ren, Juampablo E. Heras Rivera, Hitender Oswal +4
Stroke is among the top three causes of death worldwide, and accurate identification of stroke lesion boundaries is critical for diagnosis and treatment. Supervised deep learning m…
eess.IV2024
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
Juampablo E. Heras Rivera, Agamdeep S. Chopra, Tianyi Ren +14
The integration of machine learning in magnetic resonance imaging (MRI), specifically in neuroimaging, is proving to be incredibly effective, leading to better diagnostic accuracy,…