| 2024 | ACL | 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 |
| 2024 | WACV | Random Walks for Temporal Action Segmentation with Timestamp Supervision. | Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin |
| 2023 | MICCAI | 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 |
| 2022 | ICPR | Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. | George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin |
| 2021 | AAAI | ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. | Tomer Golany, Daniel Freedman, Kira Radinsky |
| 2021 | ICML | 12-Lead ECG Reconstruction via Koopman Operators. | Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha |
| 2020 | AAAI | Improving ECG Classification Using Generative Adversarial Networks. | Tomer Golany, Gal Lavee, Shai Tejman-Yarden, Kira Radinsky |
| 2020 | ICML | SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. | Tomer Golany, Kira Radinsky, Daniel Freedman |
| 2019 | AAAI | PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. | Tomer Golany, Kira Radinsky |