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ORCIDMaayan Frid-Adar
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2020 – today
- 2021
[j2]Maayan Frid-Adar
, Rula Amer, Ophir Gozes, Jannette Nassar, Hayit Greenspan:
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring. IEEE J. Biomed. Health Informatics 25(6): 1892-1903 (2021)- [c6]Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan:
Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. ISBI 2021: 155-159 - 2020
- [c5]Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Asher Kabakovitch, Dor Amran, Rula Amer, Hayit Greenspan:
A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis. TIA@MICCAI 2020: 84-93 - [i9]Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot L. Siegel:
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. CoRR abs/2003.05037 (2020) - [i8]Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan:
Coronavirus Detection and Analysis on Chest CT with Deep Learning. CoRR abs/2004.02640 (2020) - [i7]Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan:
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring. CoRR abs/2008.02150 (2020) - [i6]Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan:
Automated triage of COVID-19 from various lung abnormalities using chest CT features. CoRR abs/2010.12967 (2020)
2010 – 2019
- 2019
- [c4]Maayan Frid-Adar, Rula Amer, Hayit Greenspan:
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data. MICCAI (6) 2019: 784-792 - [i5]Maayan Frid-Adar, Rula Amer, Hayit Greenspan:
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data. CoRR abs/1908.07170 (2019) - 2018
- [j1]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing 321: 321-331 (2018) - [c3]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic data augmentation using GAN for improved liver lesion classification. ISBI 2018: 289-293 - [c2]Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. RAMBO+BIA+TIA@MICCAI 2018: 159-168 - [i4]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR abs/1801.02385 (2018) - [i3]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. CoRR abs/1803.01229 (2018) - [i2]Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. CoRR abs/1810.02113 (2018) - 2017
- [c1]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. Patch-MI@MICCAI 2017: 129-137 - [i1]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN. CoRR abs/1707.06053 (2017)
Coauthor Index
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