| 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 | 1558 | 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 | 475 | 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 | 435 | 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 | 370 | 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 | 336 | 2017 |
| What have we learned about acute pancreatitis in children? HX Bai, ME Lowe, SZ Husain Journal of pediatric gastroenterology and nutrition 52 (3), 262-270, 2011 | 317 | 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 | 165 | 2019 |
| 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 | 147 | 2021 |
| The association of primary hyperparathyroidism with pancreatitis HX Bai, M Giefer, M Patel, AI Orabi, SZ Husain Journal of clinical gastroenterology 46 (8), 656-661, 2012 | 140 | 2012 |
| 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 | 119 | 2019 |
| 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 | 114 | 2020 |
| 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 | 114 | 2016 |
| 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 | 102 | 2021 |
| 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), 651-656, 2012 | 74 | 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), 423-428, 2011 | 68 | 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 | 62 | 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 | 60 | 2015 |
| 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 | 52 | 2022 |
| Deep learning for classification of bone lesions on routine MRI FR Eweje, B Bao, J Wu, D Dalal, W Liao, Y He, Y Luo, S Lu, P Zhang, ... EBioMedicine 68, 2021 | 51 | 2021 |
| Deep learning-based classification of primary bone tumors on radiographs: A preliminary study Y He, I Pan, B Bao, K Halsey, M Chang, H Liu, S Peng, RA Sebro, J Guan, ... EBioMedicine 62, 2020 | 51 | 2020 |
