96 citations · 153 across the 5 of their papers we have counts for
6 papers
Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng +64
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of…
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen +3
The incorporation of Denoising Diffusion Models (DDMs) in the Text-to-Speech (TTS) domain is rising, providing great value in synthesizing high quality speech. Although they exhibi…
Weakly-Supervised Surgical Phase Recognition
Roy Hirsch, Regev Cohen, Mathilde Caron +3
A key element of computer-assisted surgery systems is phase recognition of surgical videos. Existing phase recognition algorithms require frame-wise annotation of a large number of…
Self-Supervised Learning for Endoscopic Video Analysis
Roy Hirsch, Mathilde Caron, Regev Cohen +6
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by allowing learning from large amounts of unlabeled data. As such, it might have a pivotal rol…
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany, Daniel Freedman, Kira Radinsky
Generating training examples for supervised tasks is a long sought after goal in AI. We study the problem of heart signal electrocardiogram (ECG) synthesis for improved heartbeat c…
Detecting Deficient Coverage in Colonoscopies
Daniel Freedman, Yochai Blau, Liran Katzir +8
Colonoscopy is the tool of choice for preventing Colorectal Cancer, by detecting and removing polyps before they become cancerous. However, colonoscopy is hampered by the fact that…