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Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans


Jul 26, 2021
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

* 12 pages, 6 figures, 5 tables 

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Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction


Jan 10, 2021
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan

* Accepted IEEE-ISBI 2021 

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Automated triage of COVID-19 from various lung abnormalities using chest CT features


Oct 24, 2020
Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring


Aug 04, 2020
Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan

* paper was submitted to JBHI IEEE journal 

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A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises


Aug 02, 2020
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

* 19 pages, 7 figures 

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Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation


Jul 11, 2020
Ilia Kravets, Tal Heletz, Hayit Greenspan

* to appear at MICCAI 2020 

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Joint Liver Lesion Segmentation and Classification via Transfer Learning


May 24, 2020
Michal Heker, Hayit Greenspan

* Accepted to MIDL 2020 

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Semi-supervised lung nodule retrieval


May 04, 2020
Mark Loyman, Hayit Greenspan


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Coronavirus Detection and Analysis on Chest CT with Deep Learning


Apr 06, 2020
Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan


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Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis


Mar 24, 2020
Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel

* 19 pages, 6 figures 

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


Mar 20, 2020
Ophir Gozes, Hayit Greenspan

* arXiv admin note: substantial text overlap with arXiv:1810.05989 

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A Soft STAPLE Algorithm Combined with Anatomical Knowledge


Oct 26, 2019
Eytan Kats, Jacob Goldberger, Hayit Greenspan

* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019 

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Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images


Oct 01, 2019
Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer

* 9 pages, 4 figures, 2 tables, MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention 

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Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data


Aug 20, 2019
Maayan Frid-Adar, Rula Amer, Hayit Greenspan

* Accepted to MICCAI 2019 

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


Jun 03, 2019
Ophir Gozes, Hayit Greenspan


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Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation


Jan 26, 2019
Eytan Kats, Jacob Goldberger, Hayit Greenspan

* Accepted for ISBI 2019 

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The Liver Tumor Segmentation Benchmark (LiTS)


Jan 13, 2019
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Eugene Vorontsov, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Gruen, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Marianne M. Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze

* conference 

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Improving CNN Training using Disentanglement for Liver Lesion Classification in CT


Nov 01, 2018
Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan


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Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training


Oct 14, 2018
Ophir Gozes, Hayit Greenspan


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Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection


Jul 23, 2018
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan

* Preprint submitted to Engineering applications of artificial intelligence 

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A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications


Mar 19, 2018
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger


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GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification


Mar 03, 2018
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

* Preprint submitted to Neurocomputing 

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Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification


Jan 08, 2018
Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

* To be presented at IEEE International Symposium on Biomedical Imaging (ISBI), 2018 

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Anatomical Data Augmentation For CNN based Pixel-wise Classification


Jan 07, 2018
Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan

* To be presented at IEEE ISBI 2018 

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Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results


Jul 30, 2017
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Marianne Amitai, Hayit Greenspan

* To be presented at SASHIMI2017: Simulation and Synthesis in Medical Imaging, MICCAI 2017 

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Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN


Jul 20, 2017
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

* To be presented at PatchMI: 3rd International Workshop on Patch-based Techniques in Medical Imaging, MICCAI 2017 

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