Follow
Shaked Perek
Shaked Perek
IBM Research
Verified email at il.ibm.com
Title
Cited by
Cited by
Year
Classification of contrast-enhanced spectral mammography (CESM) images
S Perek, N Kiryati, G Zimmerman-Moreno, M Sklair-Levy, E Konen, ...
International Journal of Computer Assisted Radiology and Surgery 14 (2), 249-257, 2019
562019
Siamese network for dual-view mammography mass matching
S Perek, A Hazan, E Barkan, A Akselrod-Ballin
Image Analysis for Moving Organ, Breast, and Thoracic Images, 55-63, 2018
122018
Learning from longitudinal mammography studies
S Perek, L Ness, M Amit, E Barkan, G Amit
International Conference on Medical Image Computing and Computer-Assisted …, 2019
92019
Multimodal prediction of breast cancer relapse prior to neoadjuvant chemotherapy treatment
S Rabinovici-Cohen, A Abutbul, XM Fernández, O Hijano Cubelos, ...
International Workshop on PRedictive Intelligence In MEdicine, 188-199, 2020
82020
Mammography dual view mass correspondence
S Perek, A Hazan, E Barkan, A Akselrod-Ballin
arXiv preprint arXiv:1807.00637, 2018
82018
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance
S Perek, M Amit, E Hexter
International Workshop on PRedictive Intelligence In MEdicine, 117-127, 2021
52021
Training set enrichment with insignificantly-abnormal medical images
D Levanony, S Perek, E Hexter
US Patent 11,301,720, 2022
12022
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms
I Jubran, M Raboh, S Perek, D Gruen, E Hexter
International Workshop on Simulation and Synthesis in Medical Imaging, 34-43, 2021
12021
Medical object detection and identification
TT Shapiro, A Abutbul, S Rabinovici-Cohen, S Perek, E Hexter
US Patent App. 17/099,199, 2022
2022
Mri annotation
S Rabinovici-Cohen, S Perek, TT Shapiro, D Levanony, E Hexter, ...
US Patent App. 17/093,904, 2022
2022
Characterization of an Ultrasonic Sensor in Monitoring Ablation Procedure
N Kaufman, S Perek, G Kosa
The system can't perform the operation now. Try again later.
Articles 1–11