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Sapir Gershov
Sapir Gershov
PhD students in the Israel Institute of Technology
Verified email at campus.technion.ac.il
Title
Cited by
Cited by
Year
Automatic segmentation, classification, and follow‐up of optic pathway gliomas using deep learning and fuzzy c‐means clustering based on MRI
M Artzi, S Gershov, L Ben‐Sira, J Roth, D Kozyrev, B Shofty, T Gazit, ...
Medical Physics 47 (11), 5693-5701, 2020
152020
Towards an autonomous clinical decision support system
S Gershov, A Raz, E Karpas, S Laufer
Engineering Applications of Artificial Intelligence 127, 107215, 2024
32024
Automatic speech-based checklist for medical simulations
S Gershov, Y Ringel, E Dvir, T Tsirilman, EB Zvi, S Braun, A Raz, S Laufer
Proceedings of the Second Workshop on Natural Language Processing for …, 2021
32021
Automating medical simulations
S Gershov, D Braunold, R Spektor, A Ioscovich, A Raz, S Laufer
Journal of Biomedical Informatics 144, 104446, 2023
22023
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
S Arica, O Rubin, S Gershov, S Laufer
arXiv preprint arXiv:2403.07700, 2024
2024
More Than Meets the Eye: Physicians’ Visual Attention in the Operating Room
S Gershov, F Mahameed, A Raz, S Laufer
International Workshop on Applications of Medical AI, 11-20, 2023
2023
More Than Meets the Eye: Analyzing Anesthesiologists’ Visual Attention in the Operating Room Using Deep Learning Models
S Gershov, F Mahameed, A Raz, S Laufer
International Workshop on PRedictive Intelligence In MEdicine, 253-264, 2023
2023
Modelling the resonant frequency associated with the spatio-temporal evolution of the bone-dental implant interface
S Gershov, J Xie, FA Shah, K Shemtov-Yona, D Rittel
Acta Biomaterialia 154, 302-311, 2022
2022
The Inherent Bias of Simulation-Based Assessment
S Gershov, F Mahameed, A Raz, S Laufer
Available at SSRN 4652511, 0
Automating Clinical Simulations
S Gershov, D Braunold, R Spector, A Ioscovich, A Raz, S Laufer
Available at SSRN 4194672, 0
Automatic segmentation and follow-up of optic pathway gliomas using deep learning and based on conventional MRI
M Artzi, S Gershov, I Bressler, L Ben-Sira, S Constantini, T Gazit, ...
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