Harrison X. Bai
Harrison X. Bai
Assistant Professor, Department of Radiology at the Johns Hopkins University School of Medicine
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Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT
HX Bai, B Hsieh, Z Xiong, K Halsey, JW Choi, TML Tran, I Pan, LB Shi, ...
Radiology 296 (2), E46-E54, 2020
Definitions of pediatric pancreatitis and survey of present clinical practices
VD Morinville, SZ Husain, H Bai, B Barth, R Alhosh, PR Durie, ...
Journal of pediatric gastroenterology and nutrition 55 (3), 261-265, 2012
Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT
HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ...
Radiology 296 (3), E156-E165, 2020
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging
K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ...
Clinical Cancer Research 24 (5), 1073-1081, 2018
MRI features predict survival and molecular markers in diffuse lower-grade gliomas
H Zhou, M Vallières, HX Bai, C Su, H Tang, D Oldridge, Z Zhang, B Xiao, ...
Neuro-oncology 19 (6), 862-870, 2017
What have we learned about acute pancreatitis in children?
HX Bai, ME Lowe, SZ Husain
Journal of pediatric gastroenterology and nutrition 52 (3), 262, 2011
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
K Chang, AL Beers, HX Bai, JM Brown, KI Ly, X Li, JT Senders, ...
Neuro-oncology 21 (11), 1412-1422, 2019
The association of primary hyperparathyroidism with pancreatitis
HX Bai, M Giefer, M Patel, AI Orabi, SZ Husain
Journal of clinical gastroenterology 46 (8), 656, 2012
COVID-19 imaging: what we know now and what remains unknown
JP Kanne, H Bai, A Bernheim, M Chung, LB Haramati, DF Kallmes, ...
Radiology 299 (3), E262-E279, 2021
Imaging genomics in cancer research: limitations and promises
HX Bai, AM Lee, L Yang, P Zhang, C Davatzikos, JM Maris, SJ Diskin
The British journal of radiology 89 (1061), 20151030, 2016
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi, PJ Zhang, JT Senders, ...
Journal of neuro-oncology 142, 299-307, 2019
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Z Jiao, JW Choi, K Halsey, TML Tran, B Hsieh, D Wang, F Eweje, R Wang, ...
The Lancet Digital Health 3 (5), e286-e294, 2021
Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging
IL Xi, Y Zhao, R Wang, M Chang, S Purkayastha, K Chang, RY Huang, ...
Clinical Cancer Research 26 (8), 1944-1952, 2020
Risk factors associated with biliary pancreatitis in children
MH Ma, HX Bai, AJ Park, SU Latif, PK Mistry, D Pashankar, VS Northrup, ...
Journal of pediatric gastroenterology and nutrition 54 (5), 651, 2012
Novel characterization of drug-associated pancreatitis in children
HX Bai, MH Ma, AI Orabi, A Park, SU Latif, V Bhandari, SZ Husain
Journal of pediatric gastroenterology and nutrition 53 (4), 423, 2011
Racial disparity in mycosis fungoides: an analysis of 4495 cases from the US National Cancer Database
C Su, KA Nguyen, HX Bai, Y Cao, Y Tao, R Xiao, G Karakousis, PJ Zhang, ...
Journal of the American Academy of Dermatology 77 (3), 497-502. e2, 2017
Diagnostic value and safety of brain biopsy in patients with cryptogenic neurological disease: a systematic review and meta-analysis of 831 cases
HX Bai, Y Zou, AM Lee, E Lancaster, L Yang
Neurosurgery 77 (2), 283-295, 2015
Prognostic factors in patients with spinal chordoma: An integrative analysis of 682 patients
J Zhou, J Sun, HX Bai, X Huang, Y Zou, X Tan, Z Zhang, X Tang, Y Tao, ...
Neurosurgery 81 (5), 812-823, 2017
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
R Wang, Z Jiao, L Yang, JW Choi, Z Xiong, K Halsey, TML Tran, I Pan, ...
European radiology 32, 205-212, 2022
Diagnostic accuracy of amino acid and FDG-PET in differentiating brain metastasis recurrence from radionecrosis after radiotherapy: a systematic review and meta-analysis
H Li, L Deng, HX Bai, J Sun, Y Cao, Y Tao, MD Farwell, P Zhang, B Xiao, ...
American Journal of Neuroradiology 39 (2), 280-288, 2018
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