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2020 – today
- 2022
[c4]Michal Chorev, Vesna Resende Barros, Adam Spiro, Ella Evron, Ella Barkan, Oren Kagan, Mika Amit, Michal Ozery-Flato, Ayelet Akselrod-Ballin, Varda Shalev, Michal Rosen-Zvi, Michal Guindy:
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. AMIA 2022- 2020
- [c3]Michal Chorev
, Yoel Shoshan, Ayelet Akselrod-Ballin, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy, Michal Rosen-Zvi:
The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. MICCAI (6) 2020: 220-229
2010 – 2019
- 2017
- [c2]Michal Chorev, Lavi Shpigelman, Peter Bak, Avi Yaeli, Edwin Michael, Yaara Goldschmidt:
A Data-Driven Decision-Support Tool for Population Health Policies. MedInfo 2017: 332-336 - [c1]Alan Joseph Bekker, Michal Chorev, Liran Carmel, Jacob Goldberger:
A deep neural network witharestricted noisy channel for identification of functional introns. MLSP 2017: 1-6 - 2016
- [j1]Michal Chorev, Lotem Guy, Liran Carmel:
JuncDB: an exon-exon junction database. Nucleic Acids Res. 44(Database-Issue): 101-109 (2016)
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