A major focus of clinical imaging workflow is disease diagnosis and management, leading to medical imaging datasets strongly tied to specific clinical objectives. This scenario has led to the ...
@inproceedings{zhou2023token, title={Token Sparsification for Faster Medical Image Segmentation}, author={Zhou, Lei and Liu, Huidong and Bae, Joseph and He, Junjun and Samaras, Dimitris and Prasanna, ...
Despite great advances in brain tumor segmentation and clear clinical need, translation of state-of-the-art computational methods into clinical routine and scientific practice remains a major ...
Fluorescence imaging is a powerful method for monitoring dynamic signals in the nervous system. However, analysis of dynamic fluorescence imaging data remains burdensome, in part due to the shortage ...
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