|Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets|
SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ...
Nature communications 11 (1), 4080, 2020
|Federated learning for predicting clinical outcomes in patients with COVID-19|
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
|Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation|
L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ...
IEEE transactions on medical imaging 39 (7), 2531-2540, 2020
|Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan|
D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ...
Medical image analysis 70, 101992, 2021
|A magnetic resonance imaging–based prediction model for prostate biopsy risk stratification|
S Mehralivand, JH Shih, S Rais-Bahrami, A Oto, S Bednarova, JW Nix, ...
JAMA oncology 4 (5), 678-685, 2018
|A grading system for the assessment of risk of extraprostatic extension of prostate cancer at multiparametric MRI|
S Mehralivand, JH Shih, S Harmon, C Smith, J Bloom, M Czarniecki, ...
Radiology 290 (3), 709-719, 2019
|Federated learning improves site performance in multicenter deep learning without data sharing|
KV Sarma, S Harmon, T Sanford, HR Roth, Z Xu, J Tetreault, D Xu, ...
Journal of the American Medical Informatics Association 28 (6), 1259-1264, 2021
|Intra‐and interreader reproducibility of PI‐RADSv2: A multireader study|
CP Smith, SA Harmon, T Barrett, LK Bittencourt, YM Law, H Shebel, JY An, ...
Journal of Magnetic Resonance Imaging 49 (6), 1694-1703, 2019
|Clinical impact of PSMA-based 18F–DCFBC PET/CT imaging in patients with biochemically recurrent prostate cancer after primary local therapy|
E Mena, ML Lindenberg, JH Shih, S Adler, S Harmon, E Bergvall, D Citrin, ...
European journal of nuclear medicine and molecular imaging 45, 4-11, 2018
|Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation|
S Gaur, N Lay, SA Harmon, S Doddakashi, S Mehralivand, B Argun, ...
Oncotarget 9 (73), 33804, 2018
|Repeatability of quantitative 18F-NaF PET: a multicenter study|
C Lin, T Bradshaw, T Perk, S Harmon, J Eickhoff, N Jallow, PL Choyke, ...
Journal of nuclear medicine 57 (12), 1872-1879, 2016
|Artificial intelligence at the intersection of pathology and radiology in prostate cancer|
SA Harmon, S Tuncer, T Sanford, PL Choyke, B Türkbey
Diagnostic and Interventional Radiology 25 (3), 183, 2019
|Deep‐learning‐based artificial intelligence for PI‐RADS classification to assist multiparametric prostate MRI interpretation: A development study|
T Sanford, SA Harmon, EB Turkbey, D Kesani, S Tuncer, M Madariaga, ...
Journal of Magnetic Resonance Imaging 52 (5), 1499-1507, 2020
|Diagnostic classification of solitary pulmonary nodules using dual time 18F-FDG PET/CT image texture features in granuloma-endemic regions|
S Chen, S Harmon, T Perk, X Li, M Chen, Y Li, R Jeraj
Scientific reports 7 (1), 9370, 2017
|Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images|
M Blain, MT Kassin, N Varble, X Wang, Z Xu, D Xu, G Carrafiello, ...
Diagnostic and interventional radiology 27 (1), 20, 2021
|Quantitative assessment of early [18F] sodium fluoride positron emission tomography/computed tomography response to treatment in men with metastatic prostate cancer to bone|
SA Harmon, T Perk, C Lin, J Eickhoff, PL Choyke, WL Dahut, AB Apolo, ...
Journal of Clinical Oncology 35 (24), 2829, 2017
|Quality of prostate MRI: is the PI-RADS standard sufficient?|
J Sackett, JH Shih, SE Reese, JR Brender, SA Harmon, T Barrett, ...
Academic radiology 28 (2), 199-207, 2021
|Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research|
S Masoudi, SA Harmon, S Mehralivand, SM Walker, H Raviprakash, ...
Journal of Medical Imaging 8 (1), 010901-010901, 2021
|Multi-domain image completion for random missing input data|
L Shen, W Zhu, X Wang, L Xing, JM Pauly, B Turkbey, SA Harmon, ...
IEEE transactions on medical imaging 40 (4), 1113-1122, 2020
|Radiomics and radiogenomics of prostate cancer|
CP Smith, M Czarniecki, S Mehralivand, R Stoyanova, PL Choyke, ...
Abdominal Radiology 44, 2021-2029, 2019