PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. - Tomer Golany; Kira Radinsky (AAAI, 2019)

Improving ECG Classification Using Generative Adversarial Networks. - Tomer Golany; Gal Lavee; Shai Tejman Yarden; Kira Radinsky (AAAI, 2020)

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. - Tomer Golany; Kira Radinsky; Daniel Freedman (ICML, 2020)

Detecting Deficient Coverage in Colonoscopies. - Daniel Freedman; Yochai Blau; Liran Katzir 001; Amit Aides; Ilan Shimshoni; Danny Veikherman; Tomer Golany; Ariel Gordon; Greg Corrado; Yossi Matias; Ehud Rivlin (IEEE Trans. Medical Imaging, 2020)

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. - Tomer Golany; Daniel Freedman; Kira Radinsky (AAAI, 2021)

12-Lead ECG Reconstruction via Koopman Operators. - Tomer Golany; Kira Radinsky; Daniel Freedman; Saar Minha (ICML, 2021)

Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. - George Leifman; Amit Aides; Tomer Golany; Daniel Freedman; Ehud Rivlin (ICPR, 2022)

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 (MICCAI (5), 2023)

Weakly-Supervised Surgical Phase Recognition. - Roy Hirsch; Regev Cohen; Mathilde Caron; Tomer Golany; Daniel Freedman; Ehud Rivlin (CoRR, 2023)

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 (ACL (Short Papers), 2024)

Random Walks for Temporal Action Segmentation with Timestamp Supervision. - Roy Hirsch; Regev Cohen; Tomer Golany; Daniel Freedman; Ehud Rivlin (WACV, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)