Michal Guindy

According to our database, Michal Guindy authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.

Malhar Patel, Ittai Dayan, Elliot K. Fishman, Mona Flores, Fiona J. Gilbert, Michal Guindy, Eugene J. Koay, Michael Rosenthal, Holger R. Roth, Marius George Linguraru

Health Informatics J., October, 2023

2022

Development of a mobile training app to assist radiographers' diagnostic assessments.

Liat Toderis, Ace Vo, Iris Reychav, Lutfus Sayeed, Roger McHaney, Michal Guindy

Health Informatics J., 2022

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

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

Proceedings of the AMIA 2022, 2022

2021

On the role of artificial intelligence in medical imaging of COVID-19.

Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi

Patterns, 2021

Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms.

Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next.

Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

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.

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020