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1.

Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.

Shoshan, Yoel; Bakalo, Ran; Gilboa-Solomon, Flora; Ratner, Vadim; Barkan, Ella; Ozery-Flato, Michal; Amit, Mika; Khapun, Daniel; Ambinder, Emily B; Oluyemi, Eniola T; Panigrahi, Babita; DiCarlo, Philip A; Rosen-Zvi, Michal; Mullen, Lisa A.

Radiology ; 303(1): 69-77, 2022 04.

Article in English | MEDLINE | ID: mdl-35040677

2.

Changing the approach to treatment choice in epilepsy using big data.

Devinsky, Orrin; Dilley, Cynthia; Ozery-Flato, Michal; Aharonov, Ranit; Goldschmidt, Ya'ara; Rosen-Zvi, Michal; Clark, Chris; Fritz, Patty.

Epilepsy Behav ; 56: 32-7, 2016 Mar.

Article in English | MEDLINE | ID: mdl-26827299

3.

Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome.

Thévenin, Annelyse; Ein-Dor, Liat; Ozery-Flato, Michal; Shamir, Ron.

Nucleic Acids Res ; 42(15): 9854-61, 2014 Sep.

Article in English | MEDLINE | ID: mdl-25056310

4.

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.

Li, Wen; Partridge, Savannah C; Newitt, David C; Steingrimsson, Jon; Marques, Helga S; Bolan, Patrick J; Hirano, Michael; Bearce, Benjamin Aaron; Kalpathy-Cramer, Jayashree; Boss, Michael A; Teng, Xinzhi; Zhang, Jiang; Cai, Jing; Kontos, Despina; Cohen, Eric A; Mankowski, Walter C; Liu, Michael; Ha, Richard; Pellicer-Valero, Oscar J; Maier-Hein, Klaus; Rabinovici-Cohen, Simona; Tlusty, Tal; Ozery-Flato, Michal; Parekh, Vishwa S; Jacobs, Michael A; Yan, Ran; Sung, Kyunghyun; Kazerouni, Anum S; DiCarlo, Julie C; Yankeelov, Thomas E; Chenevert, Thomas L; Hylton, Nola M.

Radiol Imaging Cancer ; 6(1): e230033, 2024 Jan.

Article in English | MEDLINE | ID: mdl-38180338

5.

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study.

Ozery-Flato, Michal; Ein-Dor, Liat; Pinchasov, Ora; Dabush Kasa, Miel; Hexter, Efrat; Chodick, Gabriel; Rosen-Zvi, Michal; Guindy, Michal.

JMIR Form Res ; 7: e42930, 2023 May 02.

Article in English | MEDLINE | ID: mdl-36989460

6.

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.

Konz, Nicholas; Buda, Mateusz; Gu, Hanxue; Saha, Ashirbani; Yang, Jichen; Chledowski, Jakub; Park, Jungkyu; Witowski, Jan; Geras, Krzysztof J; Shoshan, Yoel; Gilboa-Solomon, Flora; Khapun, Daniel; Ratner, Vadim; Barkan, Ella; Ozery-Flato, Michal; Martí, Robert; Omigbodun, Akinyinka; Marasinou, Chrysostomos; Nakhaei, Noor; Hsu, William; Sahu, Pranjal; Hossain, Md Belayat; Lee, Juhun; Santos, Carlos; Przelaskowski, Artur; Kalpathy-Cramer, Jayashree; Bearce, Benjamin; Cha, Kenny; Farahani, Keyvan; Petrick, Nicholas; Hadjiiski, Lubomir; Drukker, Karen; Armato, Samuel G; Mazurowski, Maciej A.

JAMA Netw Open ; 6(2): e230524, 2023 02 01.

Article in English | MEDLINE | ID: mdl-36821110

7.

Information-based sequential selection of clinical tests in risk assessment.

Parush, Naama; El-Hay, Tal; Ozery-Flato, Michal; Ryliskyte, Ligita; Visockiene, Zydrune; Laucevicius, Aleksandras.

Stud Health Technol Inform ; 180: 781-5, 2012.

Article in English | MEDLINE | ID: mdl-22874298

8.

A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic.

Barros, Vesna; Manes, Itay; Akinwande, Victor; Cintas, Celia; Bar-Shira, Osnat; Ozery-Flato, Michal; Shimoni, Yishai; Rosen-Zvi, Michal.

PLoS One ; 17(9): e0265289, 2022.

Article in English | MEDLINE | ID: mdl-36170272

9.

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.

Chorev, Michal; Barros, Vesna; Spiro, Adam; Evron, Ella; Barkan, Ella; Kagan, Oren; Amit, Mika; Ozery-Flato, Michal; Akselrod-Balin, Ayelet; Shalev, Varda; Rosen-Zvi, Michal; Guindy, Michal.

AMIA Annu Symp Proc ; 2022: 385-394, 2022.

Article in English | MEDLINE | ID: mdl-37128397

10.

Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization.

Ozery-Flato, Michal; Pinchasov, Ora; Dabush-Kasa, Miel; Hexter, Efrat; Chodick, Gabriel; Guindy, Michal; Rosen-Zvi, Michal.

AMIA Annu Symp Proc ; 2021: 930-939, 2021.

Article in English | MEDLINE | ID: mdl-35308922

11.

Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease.

Laifenfeld, Daphna; Yanover, Chen; Ozery-Flato, Michal; Shaham, Oded; Rosen-Zvi, Michal; Lev, Nirit; Goldschmidt, Yaara; Grossman, Iris.

Front Pharmacol ; 12: 631584, 2021.

Article in English | MEDLINE | ID: mdl-33967767

12.

Framework for identifying drug repurposing candidates from observational healthcare data.

Ozery-Flato, Michal; Goldschmidt, Yaara; Shaham, Oded; Ravid, Sivan; Yanover, Chen.

JAMIA Open ; 3(4): 536-544, 2020 Dec.

Article in English | MEDLINE | ID: mdl-33623890

13.

Sorting by reciprocal translocations via reversals theory.

Ozery-Flato, Michal; Shamir, Ron.

J Comput Biol ; 14(4): 408-22, 2007 May.

Article in English | MEDLINE | ID: mdl-17572020

14.

Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data.

Ozery-Flato, Michal; Yanover, Chen; Gottlieb, Assaf; Weissbrod, Omer; Parush Shear-Yashuv, Naama; Goldschmidt, Yaara.

Stud Health Technol Inform ; 235: 181-185, 2017.

Article in English | MEDLINE | ID: mdl-28423779

15.

Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.

Ozery-Flato, Michal; Ein-Dor, Liat; Parush-Shear-Yashuv, Naama; Aharonov, Ranit; Neuvirth, Hani; Kohn, Martin S; Hu, Jianying.

Big Data ; 4(3): 148-59, 2016 09.

Article in English | MEDLINE | ID: mdl-27541627

16.

A system for identifying and investigating unexpected response to treatment.

Ozery-Flato, Michal; Ein-Dor, Liat; Neuvirth, Hani; Parush, Naama; Kohn, Martin S; Hu, Jianying; Aharonov, Ranit.

AMIA Jt Summits Transl Sci Proc ; 2015: 137-41, 2015.

Article in English | MEDLINE | ID: mdl-26306256

17.

Two notes on genome rearrangement.

Ozery-Flato, Michal; Shamir, Ron.

J Bioinform Comput Biol ; 1(1): 71-94, 2003 Apr.

Article in English | MEDLINE | ID: mdl-15290782

18.

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome.

Ozery-Flato, Michal; Parush, Naama; El-Hay, Tal; Visockiene, Zydrune; Ryliskyte, Ligita; Badariene, Jolita; Solovjova, Svetlana; Kovaite, Milda; Navickas, Rokas; Laucevicius, Aleksandras.

Diabetol Metab Syndr ; 5(1): 36, 2013 Jul 15.

Article in English | MEDLINE | ID: mdl-23856414

19.

Large-scale analysis of chromosomal aberrations in cancer karyotypes reveals two distinct paths to aneuploidy.

Ozery-Flato, Michal; Linhart, Chaim; Trakhtenbrot, Luba; Izraeli, Shai; Shamir, Ron.

Genome Biol ; 12(6): R61, 2011 Jun 29.

Article in English | MEDLINE | ID: mdl-21714908

20.

Sorting cancer karyotypes by elementary operations.

Ozery-Flato, Michal; Shamir, Ron.

J Comput Biol ; 16(10): 1445-60, 2009 Oct.

Article in English | MEDLINE | ID: mdl-19754273

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Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.

Changing the approach to treatment choice in epilepsy using big data.

Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome.

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study.

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.

Information-based sequential selection of clinical tests in risk assessment.

A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic.

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.

Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization.

Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease.

Framework for identifying drug repurposing candidates from observational healthcare data.

Sorting by reciprocal translocations via reversals theory.

Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data.

Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.

A system for identifying and investigating unexpected response to treatment.

Two notes on genome rearrangement.

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome.

Large-scale analysis of chromosomal aberrations in cancer karyotypes reveals two distinct paths to aneuploidy.

Sorting cancer karyotypes by elementary operations.