William Hsu, Ph.D.
Affiliations: | 2009 | Biomedical Engineering | University of California, Los Angeles, Los Angeles, CA |
Area:
Biomedical Engineering, Information ScienceGoogle:
"William Hsu"Parents
Sign in to add mentor| Alex A. T. Bui | grad student | 2009 | UCLA | |
| (Using knowledge encoded in graphical disease models to support context -sensitive visualization of medical data.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Smedley NF, El-Saden S, Hsu W. (2020) Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinformatics (Oxford, England) |
| Li M, Hsu W, Xie X, et al. (2020) SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising with Self-supervised Perceptual Loss Network. Ieee Transactions On Medical Imaging |
| Petousis P, Winter A, Speier W, et al. (2019) Using Sequential Decision Making to Improve Lung Cancer Screening Performance. Ieee Access : Practical Innovations, Open Solutions. 7: 119403-119419 |
| Shen S, Han SX, Aberle DR, et al. (2019) An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. Expert Systems With Applications. 128: 84-95 |
| Faiena I, Salmasi A, Mendhiratta N, et al. (2019) PI-RADS Version 2 Category on 3 Tesla Multiparametric Prostate Magnetic Resonance Imaging Predicts Oncologic Outcomes in Gleason 3 + 4 Prostate Cancer on Biopsy. The Journal of Urology. 201: 91-97 |
| Hsu W, Zhou X, Petruse A, et al. (2018) Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis Among BI-RADS 4 Cases. Clinical Breast Cancer |
| Smedley NF, Ellingson BM, Cloughesy TF, et al. (2018) Longitudinal Patterns in Clinical and Imaging Measurements Predict Residual Survival in Glioblastoma Patients. Scientific Reports. 8: 14429 |
| Hsu W, Park S, Kahn CE. (2017) Sensor, Signal, and Imaging Informatics. Yearbook of Medical Informatics. 26: 120-123 |
| Hsu W, Han SX, Arnold CW, et al. (2015) A data-driven approach for quality assessment of radiologic interpretations. Journal of the American Medical Informatics Association : Jamia |
| Young S, Lo P, Kim G, et al. (2015) TU-G-204-09: The Effects of Reduced- Dose Lung Cancer Screening CT On Lung Nodule Detection Using a CAD Algorithm. Medical Physics. 42: 3635 |