Maayan Frid-Adar

Orcid: 0000-0002-8246-1411

According to our database1, Maayan Frid-Adar authored at least 10 papers between 2017 and 2021.

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Bibliography

2021
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring.
IEEE J. Biomed. Health Informatics, 2021

Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Coronavirus Detection and Analysis on Chest CT with Deep Learning.
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.
CoRR, 2020

A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

2019
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing, 2018

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017


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