| 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 |
| Deep learning to distinguish benign from malignant renal lesions based on routine MR ImagingDeep learning for characterization of renal lesions IL Xi, Y Zhao, R Wang, M Chang, S Purkayastha, K Chang, RY Huang, ... Clinical Cancer Research 26 (8), 1944-1952, 2020 | 114 | 2020 |
| 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 |
| 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 | 53 | 2022 |
| Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging (Oct, 10.1007/s00330-020-07266-x, 2020) R Wang, Y Cai, IK Lee, R Hu, S Purkayastha, I Pan, T Yi, TML Tran, S Lu, ... EUROPEAN RADIOLOGY 31 (11), 8816-8816, 2021 | 46* | 2021 |
| Deep Learning Based on MRI for Differentiation of Low‐and High‐Grade in Low‐Stage Renal Cell Carcinoma Y Zhao, M Chang, R Wang, IL Xi, K Chang, RY Huang, M Vallières, ... Journal of magnetic resonance imaging 52 (5), 1542-1549, 2020 | 41 | 2020 |
| Opportunity costs of receiving palliative chemotherapy for metastatic pancreatic ductal adenocarcinoma EM Bange, A Doucette, PE Gabriel, F Porterfield, JJ Harrigan, R Wang, ... JCO Oncology Practice 16 (8), e678-e687, 2020 | 35 | 2020 |
| An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data CK Kim, JW Choi, Z Jiao, D Wang, J Wu, TY Yi, KC Halsey, F Eweje, ... NPJ Digital Medicine 5 (1), 5, 2022 | 28 | 2022 |
| Machine learning-based prediction of COVID-19 severity and progression to critical illness using CT imaging and clinical data S Purkayastha, Y Xiao, Z Jiao, R Thepumnoeysuk, K Halsey, J Wu, ... Korean Journal of Radiology 22 (7), 1213, 2021 | 24 | 2021 |
| Deep learning based on MR imaging for predicting outcome of uterine fibroid embolization YH Luo, IL Xi, R Wang, HO Abdallah, J Wu, AZ Vance, K Chang, M Kohi, ... Journal of Vascular and Interventional Radiology 31 (6), 1010-1017. e3, 2020 | 23 | 2020 |
| Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study. Lancet Digit Health. 2021; 3: e286–94 Z Jiao, JW Choi, K Halsey, TML Tran, B Hsieh, D Wang, F Eweje, R Wang, ... DOI: https://doi. org/10.1016/S2589-7500 (21), 0 | 9 | |
| Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques B Huang, R Wang, AJ Masino, AE Obstfeld International Journal of Laboratory Hematology 43 (6), 1341-1356, 2021 | 8 | 2021 |
| Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020b Sep; 296 (3): E156-E65 … HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ... E156-E165. DOI: https://doi. org/10.1148/radiol 2020201491, 0 | 5 | |
