4 papers
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…
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…
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation
Tianyi Ren, Juampablo Heras Rivera, Hitender Oswal +4
Deep learning has been successfully applied to medical image segmentation, enabling accurate identification of regions of interest such as organs and lesions. This approach works e…
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,…