Pre-biopsy multi-class classification of breast lesion pathology in mammograms
- Tal Tlusty
- Michal Ozery-Flato
- et al.
- 2021
- MLMI 2021
Michal Ozery-Flato
Title
Research staff member
Bio
Dr. Michal Ozery-Flato is a research staff member in the AI for Accelerated HC&LS Discovery department in IBM Research-Israel. Since she joined IBM Research in 2009, Michal led various clinical data analysis projects in different disease areas and developed several machine learning and causal AI tools for large-scale biomedical data. Michal holds a BSc in Mathematics and Computer Science, and MSc and PhD in Computer Science, all from Tel Aviv University, Israel.
Publications
Framework for identifying drug repurposing candidates from observational healthcare data
- Michal Ozery-Flato
- Yaara Goldschmidt
- et al.
- 2020
- JAMIA Open
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
- Michal Ozery-Flato
- Chen Yanover
- et al.
- 2017
- Stud. Health Technol. Informatics
Patents
- US
- 11237713
- US
- 10572822
- US
- 9189764
Top collaborators
MR
Michal Rosen-Zvi
Director, Healthcare and Life Sciences at IBM Research
AG
Alex Golts
ML/DL researcher, AI for Healthcare
JW
Jeff Weber
Senior Research Scientist
EH
Efrat Hexter
STSM, Manager, AI for HCLS