Search Results for author: Inbar Fried

Found 2 papers, 1 papers with code

Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos

no code implementations26 Mar 2024 Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang, Inbar Fried, Stephen M. Pizer, Marc Niethammer, Roni Sengupta

Monocular depth estimation in endoscopy videos can enable assistive and robotic surgery to obtain better coverage of the organ and detection of various health issues.

Monocular Depth Estimation Transfer Learning

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

4 code implementations4 Apr 2018 Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing.

Word Embeddings

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