| GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification M Frid-Adar, I Diamant, E Klang, M Amitai, J Goldberger, H Greenspan Neurocomputing 321, 321-331, 2018 | 2050 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical image analysis 84, 102680, 2023 | 1417 | 2023 |
| Synthetic data augmentation using GAN for improved liver lesion classification M Frid-Adar, E Klang, M Amitai, J Goldberger, H Greenspan 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 1019 | 2018 |
| Convolutional neural networks for radiologic images: a radiologist’s guide S Soffer, A Ben-Cohen, O Shimon, MM Amitai, H Greenspan, E Klang Radiology 290 (3), 590-606, 2019 | 534 | 2019 |
| A volcanic explosion of autoantibodies in systemic lupus erythematosus: a diversity of 180 different antibodies found in SLE patients G Yaniv, G Twig, DBA Shor, A Furer, Y Sherer, O Mozes, O Komisar, ... Autoimmunity reviews 14 (1), 75-79, 2015 | 383 | 2015 |
| Severe obesity as an independent risk factor for COVID‐19 mortality in hospitalized patients younger than 50 E Klang, G Kassim, S Soffer, R Freeman, MA Levin, DL Reich Obesity 28 (9), 1595-1599, 2020 | 363 | 2020 |
| Fully convolutional network for liver segmentation and lesions detection A Ben-Cohen, I Diamant, E Klang, M Amitai, H Greenspan Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 297 | 2016 |
| Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ... JMIR medical informatics 9 (1), e24207, 2021 | 245 | 2021 |
| Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection A Ben-Cohen, E Klang, SP Raskin, S Soffer, S Ben-Haim, E Konen, ... Engineering Applications of Artificial Intelligence 78, 186-194, 2019 | 242 | 2019 |
| 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 | 201 | 2020 |
| Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments D Brin, V Sorin, A Vaid, A Soroush, BS Glicksberg, AW Charney, ... Scientific Reports 13 (1), 16492, 2023 | 200 | 2023 |
| 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 | 200 | 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 | 184 | 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 | 183 | 2020 |
| Detection of small bowel mucosal healing and deep remission in patients with known small bowel Crohn’s disease using biomarkers, capsule endoscopy, and imaging U Kopylov, D Yablecovitch, A Lahat, S Neuman, N Levhar, T Greener, ... Official journal of the American College of Gastroenterology| ACG 110 (9 …, 2015 | 163 | 2015 |
| 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018) M Frid-Adar, E Klang, M Amitai, J Goldberger, H Greenspan IEEE, 2018 | 147 | 2018 |
| 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 | 138 | 2023 |
| Deep learning and medical imaging E Klang Journal of thoracic disease 10 (3), 1325, 2018 | 128 | 2018 |
| Virtual PET images from CT data using deep convolutional networks: initial results A Ben-Cohen, E Klang, SP Raskin, MM Amitai, H Greenspan Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017 | 116 | 2017 |
| 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 | 114 | 2021 |
