Stephanie Harmon, PhD
Stephanie Harmon, PhD
National Cancer Institute
Verified email at - Homepage
Cited by
Cited by
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 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
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
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
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
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
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
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
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
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
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
Multiresolution application of artificial intelligence in digital pathology for prediction of positive lymph nodes from primary tumors in bladder cancer
SA Harmon, TH Sanford, GT Brown, C Yang, S Mehralivand, JM Jacob, ...
JCO clinical cancer informatics 4, 367-382, 2020
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