| An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification S Shen, SX Han, DR Aberle, AA Bui, W Hsu Expert Systems with Applications 128, 84-95, 2019 | 248 | 2019 |
| Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network P Petousis, SX Han, D Aberle, AAT Bui Artificial Intelligence in Medicine 72, 42-55, 2016 | 58 | 2016 |
| A data-driven approach for quality assessment of radiologic interpretations W Hsu, SX Han, CW Arnold, AAT Bui, DR Enzmann Journal of the American Medical Informatics Association 23 (e1), e152-e156, 2016 | 20 | 2016 |
| Percutaneous Cryoablation for the Treatment of Recurrent Thymoma: Preliminary Safety and Efficacy F Abtin, RD Suh, L Nasehi, SX Han, W Hsu, M Quirk, S Genshaft, ... Journal of Vascular and Interventional Radiology 26 (5), 709-714, 2015 | 18 | 2015 |
| Percutaneous Cryoablation for the Treatment of Recurrent Malignant Pleural Mesothelioma: Safety, Early-Term Efficacy, and Predictors of Local Recurrence F Abtin, MT Quirk, RD Suh, W Hsu, SX Han, GHJ Kim, S Genshaft, ... Journal of Vascular and Interventional Radiology 28 (2), 213-221, 2017 | 14 | 2017 |
| A Bayesian model for estimating multi-state disease progression S Shen, SX Han, P Petousis, RE Weiss, F Meng, AAT Bui, W Hsu Computers in Biology and Medicine 81, 111-120, 2017 | 14 | 2017 |
| THYROSIM App for Education and Research Predicts Potential Health Risks of Over-the-Counter Thyroid Supplements SX Han, M Eisenberg, PR Larsen, J DiStefano III Thyroid 26 (4), 489-498, 2016 | 14 | 2016 |
| EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography Y Lin, L Wei, SX Han, DR Aberle, W Hsu Medical Imaging 2020: Computer-Aided Diagnosis 11314, 344-355, 2020 | 13 | 2020 |
| Clinical phenomapping and outcomes after heart transplantation M Bakir, NJ Jackson, SX Han, A Bui, E Chang, DA Liem, A Ardehali, ... The Journal of Heart and Lung Transplantation 37 (8), 956-966, 2018 | 11 | 2018 |
| Generating reward functions using IRL towards individualized cancer screening P Petousis, SX Han, W Hsu, AAT Bui International Workshop on Artificial Intelligence in Health, 213-227, 2018 | 9 | 2018 |
| Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. S Shen, SX Han, DR Aberle, AA Bui, W Hsu CVPR Workshops, 63-66, 2019 | 6 | 2019 |
| Virtual screening for SHP-2 specific inhibitors using grid computing SX Han, MJ Levesque, K Ichikawa, S Date, JH Haga 2008 IEEE Fourth International Conference on eScience, 555-562, 2008 | 2 | 2008 |
| Dynamic Phenomapping and HLA Class I and II Antibodies for Heart Transplant Outcomes M Bakir, N Jackson, S Han, E Chang, C Tseng, T Khuu, A Bui, J Zhang, ... The Journal of Heart and Lung Transplantation 37 (4), S416-S417, 2018 | 1 | 2018 |
| Cluster Analysis and Dynamic Phenomapping to Guide Clinical Management After Heart Transplantation M Bakir, N Jackson, S Han, C Tseng, E Chang, T Khuu, A Bui, Q Zhang, ... The Journal of Heart and Lung Transplantation 36 (4), S70, 2017 | | 2017 |
| Percutaneous cryoablation for the treatment of malignant mesothelioma: intermediate-term efficacy and predictors of local recurrence M Quirk, F Abtin, S Han, G Kim, W Hsu, R Suh, S Genshaft, R Cameron Journal of Vascular and Interventional Radiology 3 (27), S34, 2016 | | 2016 |
| PERCUTANEOUS CRYOABLATION IN TREATMENT OF RECURRENT THYMOMA: EFFICACY AND SAFETY. F Abtin, L Nasehi, R Suh, S Han, W Hsu, J Sayre, R Cameron JOURNAL OF THORACIC ONCOLOGY 8, 38-38, 2013 | | 2013 |
| AN OBSERVATIONAL DATABASE ON THYMOMA PATIENTS FOR STUDYING CRYOABLATION OUTCOMES S Han, L Nasehi, F Abtin, W Hsu JOURNAL OF THORACIC ONCOLOGY 8, 38-39, 2013 | | 2013 |
| THYROSIM: A Web Application for Human Thyroid System Regulation Education and Research SXH Han University of California, Los Angeles, 2013 | | 2013 |
William HsuProfessor of Radiological Sciences and Bioengineering at UCLAVerified email at mednet.ucla.edu
