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Michal Chorev
Michal Chorev
Verified email at ibm.com
Title
Cited by
Cited by
Year
The function of introns
M Chorev, L Carmel
Frontiers in genetics 3, 55, 2012
4112012
Predicting breast cancer by applying deep learning to linked health records and mammograms
A Akselrod-Ballin, M Chorev, Y Shoshan, A Spiro, A Hazan, R Melamed, ...
Radiology 292 (2), 331-342, 2019
1622019
Identification of introns harboring functional sequence elements through positional conservation
M Chorev, A Joseph Bekker, J Goldberger, L Carmel
Scientific Reports 7 (1), 4201, 2017
232017
Computational identification of functional introns: high positional conservation of introns that harbor RNA genes
M Chorev, L Carmel
Nucleic acids research 41 (11), 5604-5613, 2013
232013
JuncDB: an exon–exon junction database
M Chorev, L Guy, L Carmel
Nucleic acids research 44 (D1), D101-D109, 2016
102016
LEMONS–a tool for the identification of splice junctions in transcriptomes of organisms lacking reference genomes
L Levin, D Bar-Yaacov, A Bouskila, M Chorev, L Carmel, D Mishmar
PloS one 10 (11), e0143329, 2015
102015
The function of introns. Front Genet 3: 55
M Chorev, L Carmel
92012
The case of missed cancers: applying AI as a radiologist’s safety net
M Chorev, Y Shoshan, A Akselrod-Ballin, A Spiro, S Naor, A Hazan, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
82020
The function of introns. Front Genet. 2012; 3: 55
M Chorev, L Carmel
72012
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment
M Chorev, V Barros, A Spiro, E Evron, E Barkan, O Kagan, M Amit, ...
AMIA Annual Symposium Proceedings 2022, 385, 2022
22022
Systems and methods for predicting likelihood of malignancy in a target tissue
A Akselrod-Ballin, M Chorev, A Hazan, R Melamed, Y Shoshan, A Spiro
US Patent App. 16/442,510, 2020
22020
A data-driven decision-support tool for population health policies
M Chorev, L Shpigelman, P Bak, A Yaeli, E Michael, Y Goldschmidt
MEDINFO 2017: Precision Healthcare through Informatics, 332-336, 2017
22017
A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study …
M Chorev, J Haderlein, S Chandra, G Menon, BJL Burton, I Pearce, ...
Journal of Clinical Medicine 12 (8), 3013, 2023
12023
A deep neural network witharestricted noisy channel for identification of functional introns
AJ Bekker, M Chorev, L Carmel, J Goldberger
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
12017
Comparing the Efficacy of Anti-Seizure Medications Using Matched Cohorts on a Large Insurance Claims Database
L Ness, L Szlak, F Benninger, S Ravid, M Chorev, M Rosen-Zvi, ...
Epilepsy Research, 107313, 2024
2024
A multi-modal AI-driven cohort selection tool based on response to loading-phase aflibercept for neovascular age-related macular degeneration: PRECISE study
M Chorev, J Haderlein, S Chandra, G Menon, B Burton, I Pearce, ...
2022
Trends in clinical characteristics and associations of severe non-respiratory events related to SARS-CoV-2
T El-Hay, E Karavani, A Peretz, M Ninio, S Ravid, M Chorev, M Rosen-Zvi, ...
medRxiv, 2021.03. 24.21251900, 2021
2021
Trends in clinical characteristics and associations of severe non-respiratory events related to SARS-CoV-2 (preprint)
T El-Hay, E Karavani, A Perez, M Ninio, S Ravid, M Chorev, M Rosen-Zvi, ...
2021
Correction to: The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net
M Chorev, Y Shoshan, A Akselrod-Ballin, A Spiro, S Naor, A Hazan, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
2020
A Predictive Tool For Characterizing And Visualizing Populations Under Counterfactual Treatment Assignment
M Chorev, M Amit, P Bak, A Yaeli, T El-Hay, Y Goldschmidt
Value in Health 20 (9), A757-A758, 2017
2017
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