| Thoracic garment of positioning electromagnetic (EM) transducers and methods of using such thoracic garment A Saroka, L Voshin, J Bar-Or, T Levi, K Ofer, Y Barash, N Mizrahi, ... US Patent 10,307,102, 2019 | 184 | 2019 |
| Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis S Soffer, E Klang, O Shimon, N Nachmias, R Eliakim, S Ben-Horin, ... Gastrointestinal endoscopy 92 (4), 831-839. e8, 2020 | 171 | 2020 |
| Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy E Klang, Y Barash, RY Margalit, S Soffer, O Shimon, A Albshesh, ... Gastrointestinal endoscopy 91 (3), 606-613. e2, 2020 | 170 | 2020 |
| Deep learning for natural language processing in radiology—fundamentals and a systematic review V Sorin, Y Barash, E Konen, E Klang Journal of the American College of Radiology 17 (5), 639-648, 2020 | 143 | 2020 |
| Creating artificial images for radiology applications using generative adversarial networks (GANs)–a systematic review V Sorin, Y Barash, E Konen, E Klang Academic radiology 27 (8), 1175-1185, 2020 | 136 | 2020 |
| Electric field stimulation integrated into perfusion bioreactor for cardiac tissue engineering Y Barash, T Dvir, P Tandeitnik, E Ruvinov, H Guterman, S Cohen Tissue Engineering Part C: Methods 16 (6), 1417-1426, 2010 | 130 | 2010 |
| Deriving individual thoracic parameters of a subject D Rappaport, N Horesh, O Hay, A Saroka, D Reisfeld, O Kalisman, ... US Patent 9,993,174, 2018 | 82 | 2018 |
| Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis S Soffer, E Klang, O Shimon, Y Barash, N Cahan, H Greenspana, ... Scientific reports 11 (1), 15814, 2021 | 80 | 2021 |
| A gradient boosting machine learning model for predicting early mortality in the emergency department triage: devising a nine-point triage score M Klug, Y Barash, S Bechler, YS Resheff, T Tron, A Ironi, S Soffer, ... Journal of general internal medicine 35, 220-227, 2020 | 80 | 2020 |
| Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis R Anteby, N Horesh, S Soffer, Y Zager, Y Barash, I Amiel, D Rosin, ... Surgical endoscopy 35, 1521-1533, 2021 | 76 | 2021 |
| Ulcer severity grading in video capsule images of patients with Crohn’s disease: an ordinal neural network solution Y Barash, L Azaria, S Soffer, RM Yehuda, O Shlomi, S Ben-Horin, ... Gastrointestinal Endoscopy 93 (1), 187-192, 2021 | 72 | 2021 |
| Large language model (ChatGPT) as a support tool for breast tumor board V Sorin, E Klang, M Sklair-Levy, I Cohen, DB Zippel, N Balint Lahat, ... NPJ Breast Cancer 9 (1), 44, 2023 | 59 | 2023 |
| Automated detection of Crohn’s disease intestinal strictures on capsule endoscopy images using deep neural networks E Klang, A Grinman, S Soffer, R Margalit Yehuda, O Barzilay, MM Amitai, ... Journal of Crohn's and Colitis 15 (5), 749-756, 2021 | 49 | 2021 |
| Artificial intelligence for interstitial lung disease analysis on chest computed tomography: a systematic review S Soffer, AS Morgenthau, O Shimon, Y Barash, E Konen, BS Glicksberg, ... Academic Radiology 29, S226-S235, 2022 | 38 | 2022 |
| The impact of the coronavirus disease 2019 outbreak on the attendance of patients with surgical complaints at a tertiary hospital emergency department R Anteby, Y Zager, Y Barash, R Nadler, M Cordoba, E Klang, Y Klein, ... Journal of Laparoendoscopic & Advanced Surgical Techniques 30 (9), 1001-1007, 2020 | 38 | 2020 |
| Deep learning for noninvasive liver fibrosis classification: A systematic review R Anteby, E Klang, N Horesh, I Nachmany, O Shimon, Y Barash, ... Liver International 41 (10), 2269-2278, 2021 | 36 | 2021 |
| Deep-learning natural language processing for oncological applications V Sorin, Y Barash, E Konen, E Klang The Lancet Oncology 21 (12), 1553-1556, 2020 | 36 | 2020 |
| Large language models for oncological applications V Sorin, Y Barash, E Konen, E Klang Journal of Cancer Research and Clinical Oncology 149 (11), 9505-9508, 2023 | 31 | 2023 |
| Predicting in-hospital mortality at admission to the medical ward: a big-data machine learning model S Soffer, E Klang, Y Barash, E Grossman, E Zimlichman The American journal of medicine 134 (2), 227-234. e4, 2021 | 28 | 2021 |
| Comparison of deep learning models for natural language processing-based classification of non-English head CT reports Y Barash, G Guralnik, N Tau, S Soffer, T Levy, O Shimon, E Zimlichman, ... Neuroradiology 62, 1247-1256, 2020 | 28 | 2020 |
