Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization. - Michal Ozery-Flato; Ora Pinchasov; Miel Dabush-Kasa; Efrat Hexter; Gabriel Chodick; Michal Guindy; Michal Rosen-Zvi (AMIA, 2021)

Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. - Simona Rabinovici-Cohen; Xosé M. Fernández; Beatriz Grandal Rejo; Efrat Hexter; Oliver Hijano Cubelos; Juha Pajula; Harri Pölönen; Fabien Reyal; Michal Rosen-Zvi (AMIA, 2021)

A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms. - Ibrahim Jubran; Moshiko Raboh; Shaked Perek; David Gruen; Efrat Hexter (SASHIMI@MICCAI, 2021)

Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance. - Shaked Perek; Mika Amit; Efrat Hexter (PRIME@MICCAI, 2021)

Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. - Tal Tlusty; Michal Ozery-Flato; Vesna Resende Barros; Ella Barkan; Mika Amit; David Gruen; Michal Guindy; Tal Arazi; Mona Rozin; Michal Rosen-Zvi; Efrat Hexter (MLMI@MICCAI, 2021)

FuseMedML: a framework for accelerated discovery in machine learning based biomedicine. - Alex Golts; Moshe Raboh; Yoel Shoshan; Sagi Polaczek; Simona Rabinovici-Cohen; Efrat Hexter (J. Open Source Softw., 2023)

SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. - Bum Chul Kwon; Simona Rabinovici-Cohen; Beldine Moturi; Ruth Mwaura; Kezia Wahome; Oliver Njeru; Miguel Shinyenyi; Catherine Wanjiru; Sekou L. Remy; William Ogallo; Itai Guez; Parthasarathy Suryanarayanan; et al. (IJCAI, 2024)

A large dataset curation and benchmark for drug target interaction. - Alex Golts; Vadim Ratner; Yoel Shoshan; Moshe Raboh; Sagi Polaczek; Michal Ozery-Flato; Daniel Shats; Liam Hazan; Sivan Ravid; Efrat Hexter (CoRR, 2024)

MAMMAL - Molecular Aligned Multi-Modal Architecture and Language. - Yoel Shoshan; Moshiko Raboh; Michal Ozery-Flato; Vadim Ratner; Alex Golts; Jeffrey K. Weber; Ella Barkan; Simona Rabinovici-Cohen; Sagi Polaczek; Ido Amos; Ben Shapira; Liam Hazan; et al. (CoRR, 2024)