96 citations · 163 across the 26 of their papers we have counts for
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cs.LG2024★ 2 cited
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
Regev Cohen, Idan Kligvasser, Ehud Rivlin +1
The pursuit of high perceptual quality in image restoration has driven the development of revolutionary generative models, capable of producing results often visually indistinguish…
cs.LG2024★ 1 cited
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
Omer Belhasin, Idan Kligvasser, George Leifman +7
Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. EC…
cs.LG2023
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru +13
: Artificial Intelligence (AI) Computer-Aided Detection (CADe) is commonly used for polyp detection, but data seen in clinical settings can differ fro…