Sparse emission pattern in spectral blood Doppler. - Regev Cohen; Yonina C. Eldar (ISBI, 2017)

Sparse Doppler Sensing. - Regev Cohen; Yonina C. Eldar (CoRR, 2017)

Optimized Sparse Array Design Based on the Sum Coarray. - Regev Cohen; Yonina C. Eldar (ICASSP, 2018)

Sparse Convolutional Beamforming for Ultrasound Imaging. - Regev Cohen; Yonina C. Eldar (CoRR, 2018)

Sparse Fractal Array Design with Increased Degrees of Freedom. - Regev Cohen; Yonina C. Eldar (ICASSP, 2019)

Deep Convolutional Robust PCA with Application to Ultrasound Imaging. - Regev Cohen; Yi Zhang 117; Oren Solomon; Daniel Toberman; Liran Taieb; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2019)

Deep Learning for Fast Adaptive Beamforming. - Ben Luijten; Regev Cohen; Frederik J. de Bruijn; Harold A. W. Schmeitz; Massimo Mischi; Yonina C. Eldar; Ruud J. G. van Sloun (ICASSP, 2019)

Deep Learning in Ultrasound Imaging. - Ruud J. G. van Sloun; Regev Cohen; Yonina C. Eldar (Proc. IEEE, 2020)

Adaptive Ultrasound Beamforming Using Deep Learning. - Ben Luijten; Regev Cohen; Frederik J. de Bruijn; Harold A. W. Schmeitz; Massimo Mischi; Yonina C. Eldar; Ruud J. G. van Sloun (IEEE Trans. Medical Imaging, 2020)

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound. - Oren Solomon; Regev Cohen; Yi Zhang 117; Yi Yang 045; Qiong He; Jianwen Luo 001; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Medical Imaging, 2020)

Sparse Array Design via Fractal Geometries. - Regev Cohen; Yonina C. Eldar (IEEE Trans. Signal Process., 2020)

It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. - Regev Cohen; Yochai Blau; Daniel Freedman; Ehud Rivlin (NeurIPS, 2021)

Regularization by Denoising via Fixed-Point Projection (RED-PRO). - Regev Cohen; Michael Elad; Peyman Milanfar (SIAM J. Imaging Sci., 2021)

Estimating Withdrawal Time in Colonoscopies. - Liran Katzir 001; Danny Veikherman; Valentin Dashinsky; Roman Goldenberg; Ilan Shimshoni; Nadav Rabani; Regev Cohen; Ori Kelner; Ehud Rivlin; Daniel Freedman (ECCV Workshops (3), 2022)

What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. - Gilad Kutiel; Regev Cohen; Michael Elad; Daniel Freedman (CoRR, 2022)

Self-supervised Learning for Endoscopic Video Analysis. - Roy Hirsch; Mathilde Caron; Regev Cohen; Amir Livne; Ron Shapiro; Tomer Golany; Roman Goldenberg; Daniel Freedman; Ehud Rivlin (MICCAI (5), 2023)

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. - Gilad Kutiel; Regev Cohen; Michael Elad; Daniel Freedman; Ehud Rivlin (TML4H, 2023)

Weakly-Supervised Surgical Phase Recognition. - Roy Hirsch; Regev Cohen; Mathilde Caron; Tomer Golany; Daniel Freedman; Ehud Rivlin (CoRR, 2023)

On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. - Miri Varshavsky-Hassid; Roy Hirsch; Regev Cohen; Tomer Golany; Daniel Freedman; Ehud Rivlin (ACL (Short Papers), 2024)

Early Time Classification with Accumulated Accuracy Gap Control. - Liran Ringel; Regev Cohen; Daniel Freedman; Michael Elad; Yaniv Romano (ICML, 2024)

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. - Regev Cohen; Idan Kligvasser; Ehud Rivlin; Daniel Freedman (NeurIPS, 2024)

Random Walks for Temporal Action Segmentation with Timestamp Supervision. - Roy Hirsch; Regev Cohen; Tomer Golany; Daniel Freedman; Ehud Rivlin (WACV, 2024)

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. - Omer Belhasin; Idan Kligvasser; George Leifman; Regev Cohen; Erin Rainaldi; Li-Fang Cheng; Nishant Verma; Paul Varghese; Ehud Rivlin; Michael Elad (CoRR, 2024)

Streamlining Conformal Information Retrieval via Score Refinement. - Yotam Intrator; Ori Kelner; Regev Cohen; Roman Goldenberg; Ehud Rivlin; Daniel Freedman (CoRR, 2024)

Anchored Diffusion for Video Face Reenactment. - Idan Kligvasser; Regev Cohen; George Leifman; Ehud Rivlin; Michael Elad (WACV, 2025)

Latent Beam Diffusion Models for Decoding Image Sequences. - Guilherme Fernandes; Vasco Ramos; Regev Cohen; Idan Szpektor; João Magalhães (CoRR, 2025)