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 mentorAlex 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 |