Tomer Golany

According to our database, Tomer Golany authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

Random Walks for Temporal Action Segmentation with Timestamp Supervision.

Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Weakly-Supervised Surgical Phase Recognition.

Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations.

George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

12-Lead ECG Reconstruction via Koopman Operators.

Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha

Proceedings of the 38th International Conference on Machine Learning, 2021

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning.

Tomer Golany, Daniel Freedman, Kira Radinsky

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Detecting Deficient Coverage in Colonoscopies.

Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin

IEEE Trans. Medical Imaging, 2020

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.

Tomer Golany, Kira Radinsky, Daniel Freedman

Proceedings of the 37th International Conference on Machine Learning, 2020

Improving ECG Classification Using Generative Adversarial Networks.

Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification.

Tomer Golany, Kira Radinsky

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019