| How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis MJM Chuquicusma, S Hussein, J Burt, U Bagci 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 259 | 2018 |
| Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks JR Burt, N Torosdagli, N Khosravan, H RaviPrakash, A Mortazi, ... The British journal of radiology 91 (1089), 20170545, 2018 | 176 | 2018 |
| Myocardial T1 mapping: techniques and potential applications JR Burt, SL Zimmerman, IR Kamel, M Halushka, DA Bluemke Radiographics 34 (2), 377-395, 2014 | 145 | 2014 |
| Incremental value of cardiac magnetic resonance imaging in arrhythmic risk stratification of arrhythmogenic right ventricular dysplasia/cardiomyopathy–associated desmosomal … ASJM Te Riele, A Bhonsale, CA James, N Rastegar, B Murray, JR Burt, ... Journal of the American College of Cardiology 62 (19), 1761-1769, 2013 | 135 | 2013 |
| CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN A Mortazi, R Karim, K Rhode, J Burt, U Bagci Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 123 | 2017 |
| Multi-planar deep segmentation networks for cardiac substructures from MRI and CT A Mortazi, J Burt, U Bagci Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 81 | 2018 |
| Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value J Chamberlin, MR Kocher, J Waltz, M Snoddy, NFC Stringer, ... BMC medicine 19, 1-14, 2021 | 78 | 2021 |
| Incidental findings on cardiac multidetector row computed tomography among healthy older adults: prevalence and clinical correlates JR Burt, C Iribarren, JM Fair, LC Norton, M Mahbouba, GD Rubin, ... Archives of internal medicine 168 (7), 756-761, 2008 | 67 | 2008 |
| Cardiac MR findings and potential diagnostic pitfalls in patients evaluated for arrhythmogenic right ventricular cardiomyopathy N Rastegar, JR Burt, CP Corona-Villalobos, AS Te Riele, CA James, ... Radiographics 34 (6), 1553-1570, 2014 | 63 | 2014 |
| Incidental pulmonary nodules on cardiac computed tomography: prognosis and use C Iribarren, MA Hlatky, M Chandra, JM Fair, GD Rubin, AS Go, JR Burt, ... The American journal of medicine 121 (11), 989-996, 2008 | 58 | 2008 |
| Invasive cardiac lipoma: a case report and review of literature J D’Souza, R Shah, A Abbass, JR Burt, A Goud, C Dahagam BMC cardiovascular disorders 17, 1-4, 2017 | 48 | 2017 |
| Volumetric quantification of cardiovascular structures from medical imaging J Burt US Patent 9,968,257, 2018 | 47 | 2018 |
| Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study M van Assen, SS Martin, A Varga-Szemes, S Rapaka, S Cimen, P Sharma, ... European journal of radiology 134, 109428, 2021 | 42 | 2021 |
| Progression of coronary calcification in healthy postmenopausal women J Hsia, A Klouj, A Prasad, J Burt, LL Adams-Campbell, BV Howard BMC cardiovascular disorders 4, 1-6, 2004 | 31 | 2004 |
| The prognostic value of CAC zero among individuals presenting with chest pain: a meta-analysis AM Agha, J Pacor, GR Grandhi, R Mszar, SU Khan, R Parikh, T Agrawal, ... Cardiovascular Imaging 15 (10), 1745-1757, 2022 | 30 | 2022 |
| Spectrum of biventricular involvement on CMR among carriers of ARVD/C-associated mutations N Rastegar, SL Zimmerman, ASJM Te Riele, C James, JR Burt, ... JACC: Cardiovascular Imaging 8 (7), 863-864, 2015 | 30 | 2015 |
| Machine learning and coronary artery calcium scoring H Lee, S Martin, JR Burt, PS Bagherzadeh, S Rapaka, HN Gray, ... Current Cardiology Reports 22, 1-6, 2020 | 26 | 2020 |
| Safety of CT-guided bone marrow biopsy in thrombocytopenic patients: a retrospective review B Liu, J Limback, M Kendall, M Valente, J Armaly, V Grekoski, A Pinizzotto, ... Journal of Vascular and Interventional Radiology 28 (12), 1727-1731, 2017 | 19 | 2017 |
| Diagnostic accuracy and performance of artificial intelligence in detecting lung nodules in patients with complex lung disease: a noninferiority study AF Abadia, B Yacoub, N Stringer, M Snoddy, M Kocher, UJ Schoepf, ... Journal of Thoracic Imaging 37 (3), 154-161, 2022 | 18 | 2022 |
| Genotype-specific pattern of LV involvement in ARVD/C ASJM Te Riele, A Bhonsale, JR Burt, SL Zimmerman, H Tandri JACC: Cardiovascular Imaging 5 (8), 849-851, 2012 | 18 | 2012 |
