Shaked Perek

According to our database, Shaked Perek authored at least 11 papers between 2018 and 2026.

Collaborative distances:

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

2026

Balanced Thinking: Improving Chain of Thought Training in Vision Language Models.

Shaked Perek, Ben Wiesel, Avihu Dekel, Nimrod Shabtay, Eli Schwartz

CoRR, March, 2026

2025

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence.

Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris

CoRR, February, 2025

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

Towards Multimodal In-context Learning for Vision and Language Models.

Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

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

2020

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

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

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

Learning from Longitudinal Mammography Studies.

Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Mammography Dual View Mass Correspondence.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

CoRR, 2018

Siamese Network for Dual-View Mammography Mass Matching.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018