| Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement JR Geis, AP Brady, CC Wu, J Spencer, E Ranschaert, JL Jaremko, ... Radiology 293 (2), 436-440, 2019 | 463 | 2019 |
| A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer, K Bigelow, ... Radiology 291 (3), 781-791, 2019 | 344 | 2019 |
| Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia G Shih, CC Wu, SS Halabi, MD Kohli, LM Prevedello, TS Cook, A Sharma, ... Radiology: Artificial Intelligence 1 (1), e180041, 2019 | 256 | 2019 |
| Artificial intelligence for precision education in radiology MT Duong, AM Rauschecker, JD Rudie, PH Chen, TS Cook, RN Bryan, ... The British journal of radiology 92 (1103), 20190389, 2019 | 132 | 2019 |
| Towards a model of lung biomechanics: pulmonary kinematics via registration of serial lung images TA Sundaram, JC Gee Medical image analysis 9 (6), 524-537, 2005 | 120 | 2005 |
| Integrating natural language processing and machine learning algorithms to categorize oncologic response in radiology reports PH Chen, H Zafar, M Galperin-Aizenberg, T Cook Journal of digital imaging 31, 178-184, 2018 | 116 | 2018 |
| Automated segmentation of tissues using CT and MRI: a systematic review L Lenchik, L Heacock, AA Weaver, RD Boutin, TS Cook, J Itri, CG Filippi, ... Academic radiology 26 (12), 1695-1706, 2019 | 115 | 2019 |
| Characterization of regional pulmonary mechanics from serial magnetic resonance imaging data1 J Gee, T Sundaram, I Hasegawa, H Uematsu, H Hatabu Academic radiology 10 (10), 1147-1152, 2003 | 83 | 2003 |
| PORTER: a prototype system for patient-oriented radiology reporting SC Oh, TS Cook, CE Kahn Journal of digital imaging 29, 450-454, 2016 | 67 | 2016 |
| Informatics in radiology: RADIANCE: an automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates TS Cook, SL Zimmerman, SR Steingall, ADA Maidment, W Kim, ... Radiographics 31 (7), 1833-1846, 2011 | 66 | 2011 |
| Automated detection of radiology reports that require follow-up imaging using natural language processing feature engineering and machine learning classification R Lou, D Lalevic, C Chambers, HM Zafar, TS Cook Journal of digital imaging 33, 131-136, 2020 | 53 | 2020 |
| Toward complete structured information extraction from radiology reports using machine learning JM Steinkamp, C Chambers, D Lalevic, HM Zafar, TS Cook Journal of digital imaging 32, 554-564, 2019 | 51 | 2019 |
| Patients' use and evaluation of an online system to annotate radiology reports with lay language definitions TS Cook, SC Oh, CE Kahn Jr Academic radiology 24 (9), 1169-1174, 2017 | 44 | 2017 |
| Readability of radiology reports: implications for patient-centered care T Martin-Carreras, TS Cook, CE Kahn Jr Clinical imaging 54, 116-120, 2019 | 42 | 2019 |
| Improving abnormality detection on chest radiography using game-like reinforcement mechanics PH Chen, H Roth, M Galperin-Aizenberg, AT Ruutiainen, W Gefter, ... Academic Radiology 24 (11), 1428-1435, 2017 | 39 | 2017 |
| Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports? CE Sloan, SC Chadalavada, TS Cook, CP Langlotz, MD Schnall, ... Academic radiology 21 (12), 1579-1586, 2014 | 39 | 2014 |
| Normal and variant anatomy of the shoulder on MRI TS Cook, JM Stein, S Simonson, W Kim Magnetic Resonance Imaging Clinics 19 (3), 581-594, 2011 | 39 | 2011 |
| Automated extraction of radiation dose information for CT examinations TS Cook, S Zimmerman, ADA Maidment, W Kim, WW Boonn Journal of the American College of Radiology 7 (11), 871-877, 2010 | 39 | 2010 |
| Cardiac CT angiography in the emergency department M Galperin-Aizenberg, TS Cook, JE Hollander, HI Litt American Journal of Roentgenology 204 (3), 463-474, 2015 | 37 | 2015 |
| Point set registration using Havrda–Charvat–Tsallis entropy measures NJ Tustison, SP Awate, G Song, TS Cook, JC Gee IEEE transactions on medical imaging 30 (2), 451-460, 2010 | 37 | 2010 |
James GeeUniversity of Pennsylvania, University of Washington在 upenn.edu 的电子邮件经过验证
