| Pgans: Personalized generative adversarial networks for ecg synthesis to improve patient-specific deep ecg classification T Golany, K Radinsky Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 557-564, 2019 | 126 | 2019 |
| SimGANs: Simulator-based generative adversarial networks for ECG synthesis to improve deep ECG classification T Golany, K Radinsky, D Freedman International Conference on Machine Learning, 3597-3606, 2020 | 70 | 2020 |
| Detecting deficient coverage in colonoscopies D Freedman, Y Blau, L Katzir, A Aides, I Shimshoni, D Veikherman, ... IEEE Transactions on Medical Imaging 39 (11), 3451-3462, 2020 | 67 | 2020 |
| Improving ECG classification using generative adversarial networks T Golany, G Lavee, ST Yarden, K Radinsky Proceedings of the AAAI conference on artificial intelligence 34 (08), 13280 …, 2020 | 56 | 2020 |
| Ecg ode-gan: Learning ordinary differential equations of ecg dynamics via generative adversarial learning T Golany, D Freedman, K Radinsky Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 134-141, 2021 | 34 | 2021 |
| Detection of elusive polyps using a large-scale artificial intelligence system (with videos) DM Livovsky, D Veikherman, T Golany, A Aides, V Dashinsky, N Rabani, ... Gastrointestinal Endoscopy 94 (6), 1099-1109. e10, 2021 | 25 | 2021 |
| Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy T Golany, A Aides, D Freedman, N Rabani, Y Liu, E Rivlin, GS Corrado, ... Surgical Endoscopy 36 (12), 9215-9223, 2022 | 20 | 2022 |
| 12-lead ecg reconstruction via Koopman operators T Golany, K Radinsky, D Freedman, S Minha International Conference on Machine Learning, 3745-3754, 2021 | 8 | 2021 |
| Self-supervised learning for endoscopic video analysis R Hirsch, M Caron, R Cohen, A Livne, R Shapiro, T Golany, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Physicians and machine-learning algorithm performance in predicting left-ventricular systolic dysfunction from a standard 12-lead-electrocardiogram T Golany, K Radinsky, N Kofman, I Litovchik, R Young, A Monayer, I Love, ... Journal of Clinical Medicine 11 (22), 6767, 2022 | 4 | 2022 |
| Pixel-accurate segmentation of surgical tools based on bounding box annotations G Leifman, A Aides, T Golany, D Freedman, E Rivlin 2022 26th International Conference on Pattern Recognition (ICPR), 5096-5103, 2022 | 2 | 2022 |
| Weakly-Supervised Surgical Phase Recognition R Hirsch, R Cohen, M Caron, T Golany, D Freedman, E Rivlin arXiv preprint arXiv:2310.17209, 2023 | 1 | 2023 |
| On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models MV Hassid, R Hirsch, R Cohen, T Golany, D Freedman, E Rivlin arXiv preprint arXiv:2402.12423, 2024 | | 2024 |
| On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models M Varshavsky Hassid, R Hirsch, R Cohen, T Golany, D Freedman, ... arXiv e-prints, arXiv: 2402.12423, 2024 | | 2024 |
| Random Walks for Temporal Action Segmentation With Timestamp Supervision R Hirsch, R Cohen, T Golany, D Freedman, E Rivlin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Segmentation generation for image-related functions G Leifman, A Aides, T Golany, D Freedman, E Rivlin US Patent App. 17/990,392, 2023 | | 2023 |
| Detecting Deficient Coverage in Colonoscopies A Aides, A Gordon, D Freedman, E Rivlin, G Corrado, L Katzir, T Golany, ... | | 2020 |
| Real-Time Artificial Intelligence Validation of Critical View of Safety in Laparoscopic Cholecystectomy G Leifman, T Golany, E Rivlin, W Khoury, A Assalia Real-Time Artificial Intelligence Validation of Critical View of Safety in …, 0 | | |
