Ahuva Grubstein

According to our database, Ahuva Grubstein authored at least 4 papers between 2020 and 2026.

Collaborative distances:

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

2026

Multi-modal learning for automatic breast cancer diagnostics from mammography and ultrasound.

Yhonatan Kvich, Adi Kalamaro, Shachar Ashkenasy, Adi Wegerhoff, Yishai M. Elyada, Ahuva Grubstein, Eli Atar, Yonina C. Eldar

Biomed. Signal Process. Control., 2026

2021

Learned Super Resolution Ultrasound for Improved Breast Lesion Characterization.

Or Bar-Shira, Ahuva Grubstein, Yael Rapson, Dror Suhami, Eli Atar, Keren Peri-Hanania, Ronnie Rosen, Yonina C. Eldar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Point of Care Image Analysis for COVID-19.

Daniel Yaron, Daphna Keidar, Elisha Goldstein, Yair Shachar, Ayelet Blass, Oz Frank, Nir Schipper, Nogah Shabshin, Ahuva Grubstein, Dror Suhami, Naama R. Bogot, Chedva S. Weiss, Eyal Sela, Amiel A. Dror, Mordehay Vaturi, Federico Mento, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Tiziano Perrone, Libertario Demi, Meirav Galun, Shai Bagon, Yishai M. Elyada, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

COVID-19 Classification of X-ray Images Using Deep Neural Networks.

Elisha Goldstein, Daphna Keidar, Daniel Yaron, Yair Shachar, Ayelet Blass, Leonid Charbinsky, Israel Aharony, Liza Lifshitz, Dimitri Lumelsky, Ziv Neeman, Matti Mizrachi, Majd Hajouj, Nethanel Eizenbach, Eyal Sela, Chedva S. Weiss, Philip Levin, Ofer Benjaminov, Gil N. Bachar, Shlomit Tamir, Yael Rapson, Dror Suhami, Amiel A. Dror, Naama R. Bogot, Ahuva Grubstein, Nogah Shabshin, Yishai M. Elyada, Yonina C. Eldar

CoRR, 2020