Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. - Maayan Frid-Adar; Idit Diamant; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (Patch-MI@MICCAI, 2017)

Synthetic data augmentation using GAN for improved liver lesion classification. - Maayan Frid-Adar; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. - Maayan Frid-Adar; Avi Ben-Cohen; Rula Amer; Hayit Greenspan (RAMBO+BIA+TIA@MICCAI, 2018)

GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. - Maayan Frid-Adar; Idit Diamant; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (Neurocomputing, 2018)

Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data. - Maayan Frid-Adar; Rula Amer; Hayit Greenspan (MICCAI (6), 2019)

A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis. - Ophir Gozes; Maayan Frid-Adar; Nimrod Sagie; Asher Kabakovitch; Dor Amran; Rula Amer; Hayit Greenspan (TIA@MICCAI, 2020)

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. - Ophir Gozes; Maayan Frid-Adar; Hayit Greenspan; Patrick D. Browning; Huangqi Zhang; Wenbin Ji; Adam Bernheim; Eliot L. Siegel (CoRR, 2020)

Coronavirus Detection and Analysis on Chest CT with Deep Learning. - Ophir Gozes; Maayan Frid-Adar; Nimrod Sagie; Huangqi Zhang; Wenbin Ji; Hayit Greenspan (CoRR, 2020)

Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. - Dor Amran; Maayan Frid-Adar; Nimrod Sagie; Jannette Nassar; Asher Kabakovitch; Hayit Greenspan (ISBI, 2021)

COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring. - Maayan Frid-Adar; Rula Amer; Ophir Gozes; Jannette Nassar; Hayit Greenspan (IEEE J. Biomed. Health Informatics, 2021)