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Daniel A. Orringer

2 accepted papers

2023

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy

CVPR 2023highlight

Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has focused on self-supervised representation learning (SSL) methods developed for instance discrimination and applied them…

Cited by 17SourcePDFScholar
2022

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

NeurIPS 2022accept

Accurate intraoperative diagnosis is essential for providing safe and effective care during brain tumor surgery. Our standard-of-care diagnostic methods are time, resource, and labor intensive, which restricts access to optimal surgical treatments. To address these limitations, we propose an alterna…

Cited by 16SourcePDFScholar