Siamese Network for Dual-View Mammography Mass Matching. - Shaked Perek; Alon Hazan; Ella Barkan; Ayelet Akselrod-Ballin (RAMBO+BIA+TIA@MICCAI, 2018)

Mammography Dual View Mass Correspondence. - Shaked Perek; Alon Hazan; Ella Barkan; Ayelet Akselrod-Ballin (CoRR, 2018)

Learning from Longitudinal Mammography Studies. - Shaked Perek; Lior Ness; Mika Amit; Ella Barkan; Guy Amit (MICCAI (6), 2019)

Classification of contrast-enhanced spectral mammography (CESM) images. - Shaked Perek; Nahum Kiryati; Gali Zimmerman-Moreno; Miri Sklair-Levy; Eli Konen; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2019)

Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment. - Simona Rabinovici-Cohen; Ami Abutbul; Xosé M. Fernández; Oliver Hijano Cubelos; Shaked Perek; Tal Tlusty (PRIME@MICCAI, 2020)

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)

Towards Multimodal In-context Learning for Vision and Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Wei Lin 019; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (ECCV Workshops (19), 2024)

Towards Multimodal In-Context Learning for Vision & Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (CoRR, 2024)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)