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Tomer Golany
Tomer Golany
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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
1302019
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
752020
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
702020
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
612020
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
342021
Capabilities of gemini models in medicine
K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
252024
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
252021
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
222022
12-lead ECG reconstruction via Koopman operators
T Golany, K Radinsky, D Freedman, S Minha
International Conference on Machine Learning, 3745-3754, 2021
92021
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
52023
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
42022
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
32022
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
12024
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
12024
Weakly-supervised surgical phase recognition
R Hirsch, R Cohen, M Caron, T Golany, D Freedman, E Rivlin
arXiv preprint arXiv:2310.17209, 2023
12023
Detecting deficient coverage in colonoscopies
A Aides, A Gordon, D Freedman, D Veikherman, E Rivlin, G Corrado, ...
IEEE Transactions on Medical Imaging, 2020
12020
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
Segmentation generation for image-related functions
G Leifman, A Aides, T Golany, D Freedman, E Rivlin
US Patent App. 17/990,392, 2023
2023
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
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Artículos 1–19