| Recent advances in recurrent neural networks H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee arXiv preprint arXiv:1801.01078, 2017 | 703 | 2017 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 493 | 2021 |
| Training and validating a deep convolutional neural network for computer-aided detection and classification of abnormalities on frontal chest radiographs M Cicero, A Bilbily, E Colak, T Dowdell, B Gray, K Perampaladas, J Barfett Investigative radiology 52 (5), 281-287, 2017 | 291 | 2017 |
| Do as AI say: susceptibility in deployment of clinical decision-aids S Gaube, H Suresh, M Raue, A Merritt, SJ Berkowitz, E Lermer, ... NPJ digital medicine 4 (1), 31, 2021 | 252 | 2021 |
| Generalization of deep neural networks for chest pathology classification in x-rays using generative adversarial networks H Salehinejad, S Valaee, T Dowdell, E Colak, J Barfett 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 238 | 2018 |
| The RSNA international COVID-19 open radiology database (RICORD) EB Tsai, S Simpson, MP Lungren, M Hershman, L Roshkovan, E Colak, ... Radiology 299 (1), E204-E213, 2021 | 132 | 2021 |
| Synthesizing chest X-ray pathology for training deep convolutional neural networks H Salehinejad, E Colak, T Dowdell, J Barfett, S Valaee IEEE transactions on medical imaging 38 (5), 1197-1206, 2018 | 103 | 2018 |
| Argumentation and evidence REG Upshur, E Colak Theoretical Medicine and Bioethics 24, 283-299, 2003 | 79* | 2003 |
| The RSNA pulmonary embolism CT dataset E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ... Radiology: Artificial Intelligence 3 (2), e200254, 2021 | 76 | 2021 |
| Pancreas volume measurement in patients with Type 2 diabetes using magnetic resonance imaging-based planimetry N Burute, R Nisenbaum, DJ Jenkins, A Mirrahimi, S Anthwal, E Colak, ... Pancreatology 14 (4), 268-274, 2014 | 53 | 2014 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv 2021 U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 46 | 2021 |
| Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT EH Lee, J Zheng, E Colak, M Mohammadzadeh, G Houshmand, N Bevins, ... NPJ digital medicine 4 (1), 11, 2021 | 40 | 2021 |
| A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography H Salehinejad, J Kitamura, N Ditkofsky, A Lin, A Bharatha, ... Scientific Reports 11 (1), 17051, 2021 | 39 | 2021 |
| Aseptic abscesses and inflammatory bowel disease: two cases and review of literature N Bollegala, R Khan, MA Scaffidi, A Al-Mazroui, J Tessolini, A Showler, ... Canadian Journal of Gastroenterology and Hepatology 2017, 2017 | 38 | 2017 |
| Data from medical imaging data resource center (MIDRC)-RSNA international covid radiology database (RICORD) release 1C-Chest X-ray, covid+(MIDRC-RICORD-1C) E Tsai, S Simpson, MP Lungren, M Hershman, L Roshkovan, E Colak, ... The Cancer Imaging Archive 10, 2021 | 37 | 2021 |
| CT-guided percutaneous cryoablation of central lung tumors E Colak, S Tatlı, PB Shyn, K Tuncalı, SG Silverman Diagnostic and Interventional Radiology 20 (4), 316, 2014 | 37 | 2014 |
| Recent advances in recurrent neural networks. arXiv 2017 H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee arXiv preprint arXiv:1801.01078, 1801 | 34 | 1801 |
| Improvement of ischemic cholangiopathy in three patients with hereditary hemorrhagic telangiectasia following treatment with bevacizumab PA Vlachou, E Colak, A Koculym, A Kirpalani, TK Kim, GM Hirschfield, ... Journal of Hepatology 59 (1), 186-189, 2013 | 33 | 2013 |
| Deep sequential learning for cervical spine fracture detection on computed tomography imaging H Salehinejad, E Ho, HM Lin, P Crivellaro, O Samorodova, MT Arciniegas, ... 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1911-1914, 2021 | 32 | 2021 |
| Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays S Gaube, H Suresh, M Raue, E Lermer, TK Koch, MFC Hudecek, ... Scientific reports 13 (1), 1383, 2023 | 29 | 2023 |
