Tomer Golany

16 papers A* 5A 1B 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Capabilities of Gemini Models in Medicine.
CoRR
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
2024 — conf
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models.
ACL (Short Papers)
Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024 J jnl
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models.
CoRR
Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2024 A conf
Random Walks for Temporal Action Segmentation with Timestamp Supervision.
WACV
Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
2023 J jnl
Self-Supervised Learning for Endoscopic Video Analysis.
CoRR
Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023 — conf
Self-supervised Learning for Endoscopic Video Analysis.
MICCAI (5)
Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023 J jnl
Weakly-Supervised Surgical Phase Recognition.
CoRR
Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
2022 B conf
Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations.
ICPR
George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin
2021 A* conf
12-Lead ECG Reconstruction via Koopman Operators.
ICML
Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha
2021 A* conf
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning.
AAAI
Tomer Golany, Daniel Freedman, Kira Radinsky
2020 J jnl
Detecting Deficient Coverage in Colonoscopies.
CoRR
Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020 J jnl
Detecting Deficient Coverage in Colonoscopies.
IEEE Trans. Medical Imaging
Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020 A* conf
Improving ECG Classification Using Generative Adversarial Networks.
AAAI
Tomer Golany, Gal Lavee, Shai Tejman-Yarden, Kira Radinsky
2020 A* conf
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
ICML
Tomer Golany, Kira Radinsky, Daniel Freedman
2020 J jnl
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
CoRR
Tomer Golany, Daniel Freedman, Kira Radinsky
2019 A* conf
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification.
AAAI
Tomer Golany, Kira Radinsky