| Cluster analysis and classification of heart sounds G Amit, N Gavriely, N Intrator Biomedical Signal Processing and Control 4 (1), 26-36, 2009 | 100 | 2009 |
| Classification of breast lesions using cross-modal deep learning O Hadad, R Bakalo, R Ben-Ari, S Hashoul, G Amit 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 96 | 2017 |
| Classification of Breast MRI Lesions using Small-Size Training Sets: Comparison of Deep Learning Approaches SH Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot SPIE Medical Imaging, 2017 | 74* | 2017 |
| Automated anatomically-based reporting of medical images via image annotation MA Reicher, F Gilboa-Solomon, G Amit US Patent 10,276,265, 2019 | 70* | 2019 |
| Quantifying QRS changes during myocardial ischemia: Insights from high frequency electrocardiography G Amit, Y Granot, S Abboud Journal of electrocardiology 47 (4), 505-511, 2014 | 58 | 2014 |
| Respiratory modulation of heart sound morphology G Amit, K Shukha, N Gavriely, N Intrator American Journal of Physiology-Heart and Circulatory Physiology 296 (3 …, 2009 | 44 | 2009 |
| Automatic learning-based beam angle selection for thoracic IMRT G Amit, TG Purdie, A Levinshtein, AJ Hope, P Lindsay, A Marshall, ... Medical physics 42 (4), 1992-2005, 2015 | 37 | 2015 |
| Estimation of postpartum depression risk from electronic health records using machine learning G Amit, I Girshovitz, K Marcus, Y Zhang, J Pathak, V Bar, P Akiva BMC Pregnancy and Childbirth 21, 630, 2021 | 36 | 2021 |
| High-frequency QRS analysis improves the specificity of exercise ECG testing in women referred for angiography D Rosenmann, Y Mogilevski, G Amit, LR Davrath, D Tzivoni Journal of electrocardiology 46 (1), 19-26, 2013 | 35 | 2013 |
| Hybrid mass detection in breast MRI combining unsupervised saliency analysis and deep learning G Amit, O Hadad, S Alpert, T Tlusty, Y Gur, R Ben-Ari, S Hashoul Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 28 | 2017 |
| Standardization of a Developmental Milestone Scale Using Data From Children in Israel T Sudry, DR Zimmerman, H Yardeni, A Joseph, R Baruch, I Grotto, ... JAMA Network Open 5 (3), e222184-e222184, 2022 | 24 | 2022 |
| Systems and methods for detecting an indication of malignancy in a sequence of anatomical images G Amit, O Hadad US Patent 10,580,137, 2020 | 23 | 2020 |
| Automated planning of breast radiotherapy using cone beam CT imaging G Amit, TG Purdie Medical physics 42 (2), 770-779, 2015 | 23 | 2015 |
| Medical sieve: a cognitive assistant for radiologists and cardiologists T Syeda-Mahmood, E Walach, D Beymer, F Gilboa-Solomon, M Moradi, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 58-63, 2016 | 22 | 2016 |
| Real-Time H. 264 Encoding by Thread-Level Parallelism: Gains and Pitfalls. G Amit, A Pinhas IASTED PDCS, 254-259, 2005 | 19 | 2005 |
| High‐Frequency QRS Analysis in Patients with Acute Myocardial Infarction: A Preliminary Study G Amit, O Galante, LR Davrath, O Luria, S Abboud, D Zahger Annals of Noninvasive Electrocardiology 18 (2), 149-156, 2013 | 18 | 2013 |
| Unsupervised clustering of mammograms for outlier detection and breast density estimation T Tlusty, G Amit, R Ben-Ari 2018 24th International Conference on Pattern Recognition (ICPR), 3808-3813, 2018 | 15 | 2018 |
| Automatic extraction of physiological features from vibro-acoustic heart signals: correlation with echo-doppler G Amit, N Gavriely, J Lessick, N Intrator Computers in Cardiology, 2005, 299-302, 2005 | 14 | 2005 |
| Automatic dual-view mass detection in full-field digital mammograms G Amit, S Hashoul, P Kisilev, B Ophir, E Walach, A Zlotnick Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 12 | 2015 |
| Learning from longitudinal mammography studies S Perek, L Ness, M Amit, E Barkan, G Amit Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 9 | 2019 |
Nathan IntratorProfessor of Computer Science and Neuroscience, Tel Aviv UniversityVerified email at post.tau.ac.il
