Shaked Perek

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Incremental Learning

Prognostic Factors

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Sivan Doveh, Shaked Perek, M. Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
Towards Multimodal In-Context Learning for Vision & Language Models. CoRR (2024)
Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms. SASHIMI@MICCAI (2021)
Shaked Perek, Mika Amit, Efrat Hexter
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance. PRIME@MICCAI (2021)
Simona Rabinovici-Cohen, Ami Abutbul, Xosé M. Fernández, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty
Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment. PRIME@MICCAI (2020)
Shaked Perek, Nahum Kiryati, Gali Zimmerman-Moreno, Miri Sklair-Levy, Eli Konen, Arnaldo Mayer
Classification of contrast-enhanced spectral mammography (CESM) images. Int. J. Comput. Assist. Radiol. Surg. 14 (2) (2019)
Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit
Learning from Longitudinal Mammography Studies. MICCAI (6) (2019)
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
Siamese Network for Dual-View Mammography Mass Matching. RAMBO+BIA+TIA@MICCAI (2018)
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
Mammography Dual View Mass Correspondence. CoRR (2018)