Ophir Gozes

According to our database, Ophir Gozes authored at least 7 papers between 2018 and 2021.

Collaborative distances:

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

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

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

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

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

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data.

Ophir Gozes, Hayit Greenspan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.

Ophir Gozes, Hayit Greenspan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training.

Ophir Gozes, Hayit Greenspan

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018