Efrat Hexter

According to our database, Efrat Hexter authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

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

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, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

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., January, 2023

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance.

Shaked Perek, Mika Amit, Efrat Hexter

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms.

Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter

Proceedings of the Simulation and Synthesis in Medical Imaging, 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021