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ORCIDTomer Golany
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2020 – today
- 2024
[c9]Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. ACL (Short Papers) 2024: 246-255- [c8]Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV 2024: 6600-6610 - [i6]Miri Varshavsky-Hassid
, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models. CoRR abs/2402.12423 (2024) - [i5]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - 2023
- [c7]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) 2023: 569-578 - [i4]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-Supervised Learning for Endoscopic Video Analysis. CoRR abs/2308.12394 (2023) - [i3]Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Weakly-Supervised Surgical Phase Recognition. CoRR abs/2310.17209 (2023) - 2022
- [c6]George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. ICPR 2022: 5096-5103 - 2021
- [c5]Tomer Golany, Daniel Freedman, Kira Radinsky:
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI 2021: 134-141 - [c4]Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha:
12-Lead ECG Reconstruction via Koopman Operators. ICML 2021: 3745-3754 - 2020
- [j1]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging 39(11): 3451-3462 (2020) - [c3]Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky:
Improving ECG Classification Using Generative Adversarial Networks. AAAI 2020: 13280-13285 - [c2]Tomer Golany, Kira Radinsky, Daniel Freedman:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML 2020: 3597-3606 - [i2]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. CoRR abs/2001.08589 (2020) - [i1]Tomer Golany, Daniel Freedman, Kira Radinsky:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR abs/2006.15353 (2020)
2010 – 2019
- 2019
- [c1]Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. AAAI 2019: 557-564
Coauthor Index
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