| A region based convolutional network for tumor detection and classification in breast mammography A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan Deep learning and data labeling for medical applications, 197-205, 2016 | 92 | 2016 |
| Predicting breast cancer by applying deep learning to linked health records and mammograms A Akselrod-Ballin, M Chorev, Y Shoshan, A Spiro, A Hazan, R Melamed, ... Radiology 292 (2), 331-342, 2019 | 41 | 2019 |
| Medical image description using multi-task-loss CNN P Kisilev, E Sason, E Barkan, S Hashoul Deep Learning and Data Labeling for Medical Applications, 121-129, 2016 | 41 | 2016 |
| From medical image to automatic medical report generation P Kisilev, E Walach, E Barkan, B Ophir, S Alpert, SY Hashoul IBM Journal of Research and Development 59 (2/3), 2: 1-2: 7, 2015 | 25 | 2015 |
| Deep learning for automatic detection of abnormal findings in breast mammography A Akselrod-Ballin, L Karlinsky, A Hazan, R Bakalo, AB Horesh, Y Shoshan, ... Deep learning in medical image analysis and multimodal learning for clinical …, 2017 | 24 | 2017 |
| Method and computer program product for generating recognition error correction information N Aizenbud-Reshef, E Barkan, E Belinsky, JJ Mamou, Y Navon, B Ophir US Patent App. 11/946,847, 2009 | 21 | 2009 |
| Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. Y Choukroun, R Bakalo, R Ben-Ari, A Akselrod-Ballin, E Barkan, P Kisilev VCBM, 11-19, 2017 | 17 | 2017 |
| A CNN based method for automatic mass detection and classification in mammograms A Akselrod-Ballin, L Karlinsky, S Alpert, S Hashoul, R Ben-Ari, E Barkan Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019 | 16 | 2019 |
| Semantic description of medical image findings: structured learning approach. P Kisilev, E Walach, SY Hashoul, E Barkan, B Ophir, S Alpert BMVC, 171.1-171.11, 2015 | 16 | 2015 |
| Automatic generation of semantic description of visual findings in medical images P Kisilev, E Walach, E Barkan, S Hashoul US Patent 9,600,628, 2017 | 14 | 2017 |
| Medical image captioning: Learning to describe medical image findings using multi-task-loss CNN P Kisilev, E Sason, E Barkan, S Hashoul Deep Learning for Precision Medicine, Riva del Garda, Italy, 2016 | 14 | 2016 |
| A generic form processing approach for large variant templates Y Navon, E Barkan, B Ophir 2009 10th International Conference on Document Analysis and Recognition, 311-315, 2009 | 12 | 2009 |
| Deep Learning and Data Labeling for Medical Applications A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan, ... Athens: Springer, 2016 | 11 | 2016 |
| Computer application analysis E Barkan, J Bnayahu, T Drory, A Ribak US Patent 8,396,964, 2013 | 7 | 2013 |
| Optical character recognition verification E Barkan, DS Chevion, B Ophir, D Tal US Patent 8,249,399, 2012 | 7 | 2012 |
| Detection and segmentation of antialiased text in screen images S Gleichman, B Ophir, A Geva, M Marder, E Barkan, E Packer 2011 International Conference on Document Analysis and Recognition, 424-428, 2011 | 7 | 2011 |
| Method and Computer Program Product for Managing Media Items N Aizenbud-Reshef, E Barkan, E Belinsky, M Jacovi, V Soroka US Patent App. 11/959,481, 2009 | 7 | 2009 |
| Finding objects in an image E Yair, Y Navon, E Barkan US Patent 6,512,849, 2003 | 6 | 2003 |
| The scanline principle: efficient conversion of display algorithms into scanline mode E Barkan, D Gordon The Visual Computer 15 (5), 249-264, 1999 | 6 | 1999 |
| Siamese network for dual-view mammography mass matching S Perek, A Hazan, E Barkan, A Akselrod-Ballin Image Analysis for Moving Organ, Breast, and Thoracic Images, 55-63, 2018 | 4 | 2018 |
