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2020 – today
- 2024
[i2]Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky:
Towards Multimodal In-Context Learning for Vision & Language Models. CoRR abs/2403.12736 (2024)- 2021
- [c5]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: 34-43 - [c4]Shaked Perek, Mika Amit, Efrat Hexter:
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance. PRIME@MICCAI 2021: 117-127 - 2020
- [c3]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: 188-199
2010 – 2019
- 2019
- [j1]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): 249-257 (2019) - [c2]Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit:
Learning from Longitudinal Mammography Studies. MICCAI (6) 2019: 712-720 - 2018
- [c1]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Siamese Network for Dual-View Mammography Mass Matching. RAMBO+BIA+TIA@MICCAI 2018: 55-63 - [i1]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Mammography Dual View Mass Correspondence. CoRR abs/1807.00637 (2018)
Coauthor Index
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