William Hsu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 55

Top Topics

Clinical Decision Support

Spatial Relationships

Top Venues

Comput. Biol. Medicine

Publications

Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu
Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications. CoRR (2024)
Ruiwen Ding, Kha-Dinh Luong, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images. CoRR (2024)
Al Rahrooh, Anders O. Garlid, Kelly Bartlett, Warren Coons, Panayiotis Petousis, William Hsu, Alex A. T. Bui
Towards a framework for interoperability and reproducibility of predictive models. J. Biomed. Informatics 149 (2024)
Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu
Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach. J. Digit. Imaging 36 (3) (2023)
Elisa Warner, Joonsang Lee, William Hsu, Tanveer Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR (2023)
Ruiwen Ding, Anil Yadav, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas. Comput. Biol. Medicine 166 (2023)
Ruiwen Ding, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction. ISBI (2023)
Leihao Wei, Anil Yadav, William Hsu
CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows. MICCAI (7) (2023)
Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman
Self-Supervised Approach to Addressing Zero-Shot Learning Problem. CoRR (2022)
Yannan Lin, Ruiwen Ding, Ashley Prosper, Denise R. Aberle, Alex A. T. Bui, William Hsu
Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence. AMIA (2022)
Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146 (2022)
William Hsu, James R. Warren, Patricia J. Riddle
Medication adherence prediction through temporal modelling in cardiovascular disease management. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
OpBerg: Discovering Causal Sentences Using Optimal Alignments. DaWaK (2022)
Ademola Okerinde, William Hsu, Tom Theis, Nasik Nafi, Lior Shamir
eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. CAIP (1) (2021)
Wentai Zhang, Linjun Qiao, William Hsu, Yong Cui, Ming Jiang, Guojie Luo
FPGA Acceleration for 3-D Low-Dose Tomographic Reconstruction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (4) (2021)
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
Experiment Selection in Meta-Analytic Piecemeal Causal Discovery. IEEE Access 9 (2021)
Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications. Medical Imaging: Computer-Aided Diagnosis (2021)
Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis, Nasik Nafi
eGAN: Unsupervised approach to class imbalance using transfer learning. CoRR (2021)
Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines. CoRR (2021)
Tianqing Li, Leihao Wei, William Hsu
A Multi-Pronged Evaluation For Image Normalization Techniques. ISBI (2021)
Leihao Wei, Yannan Lin, William Hsu
Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic Features. ISBI (2020)
Leihao Wei, Yannan Lin, William Hsu
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features. CoRR (2020)
Meng Li, William Hsu, Xiaodong Xie, Jason Cong, Wen Gao
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network. IEEE Trans. Medical Imaging 39 (7) (2020)
Yannan Lin, Leihao Wei, Simon X. Han, Denise R. Aberle, William Hsu
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Medical Imaging: Computer-Aided Diagnosis (2020)
Nova F. Smedley, Suzie El-Saden, William Hsu
Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinform. 36 (11) (2020)
Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
OpBerg: Discovering causal sentences using optimal alignments. CoRR (2019)
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. CVPR Workshops (2019)
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification. Expert Syst. Appl. 128 (2019)
William Hsu, Jim Warren, Patricia Riddle
Multivariate Sequential Analytics for Treatment Trajectory Forecasting. ACSW (2019)
Panayiotis Petousis, Audrey Winter, William Speier, Denise R. Aberle, William Hsu, Alex A. T. Bui
Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access 7 (2019)
Panayiotis Petousis, Arash Naeim, Ali Mosleh, William Hsu
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models. AMIA (2018)
Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
Generating Reward Functions Using IRL Towards Individualized Cancer Screening. AIH@IJCAI (Revised Selected Papers) (2018)
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network. DLMIA/ML-CDS@MICCAI (2018)
Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
Generating reward functions using IRL towards individualized cancer screening. AIH@IJCAI (2018)
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
Computed Tomography Image Enhancement using 3D Convolutional Neural Network. CoRR (2018)
Nova F. Smedley, William Hsu
Using deep neural networks for radiogenomic analysis. ISBI (2018)
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. CoRR (2018)
William Hsu, Charles E. Kahn
The Best of Imaging Informatics Research 2017. AMIA (2017)
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
Translating literature into causal graphs: Toward automated experiment selection. BIBM (2017)
Shiwen Shen, Alex A. T. Bui, William Hsu
Robust Lung Nodule Classification using 2.5D Convolutional Neural Network. AMIA (2017)
Edgar A. Rios Piedra, Iren Orosz, Mary Zide, Suzie M. El-Saden, Ricky K. Taira, Alex A. T. Bui, William Hsu
A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application. AMIA (2017)
Shiwen Shen, Simon X. Han, Panayiotis Petousis, Robert E. Weiss, Frank Meng, Alex A. T. Bui, William Hsu
A Bayesian model for estimating multi-state disease progression. Comput. Biol. Medicine 81 (2017)
William Hsu, Frank Meng, Panayiotis Petousis, Weixia Yu, Alex A. T. Bui
A Web-based Platform for Evaluating and Disseminating Predictive Models. CRI (2017)
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience. Frontiers Neuroinformatics 11 (2017)
William Hsu, Simon X. Han, Corey W. Arnold, Alex A. T. Bui, Dieter R. Enzmann
A data-driven approach for quality assessment of radiologic interpretations. J. Am. Medical Informatics Assoc. 23 (e1) (2016)
Nicholas J. Matiasz, Wei-Ting Chen, Alcino J. Silva, William Hsu
MedicineMaps: A Tool for Mapping and Linking Evidence from Experimental and Clinical Trial Literature. AMIA (2016)
Edgar A. Rios Piedra, Ricky K. Taira, Suzie El-Saden, Benjamin M. Ellingson, Alex A. T. Bui, William Hsu
Assessing variability in brain tumor segmentation to improve volumetric accuracy and characterization of change. BHI (2016)
Maurine Tong, William Hsu, Ricky K. Taira
Evaluating a Novel Summary Visualization for Clinical Trial Reports: A Usability Study. AMIA (2016)
Lee A. D. Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA (2016)
Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar
Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE J. Biomed. Health Informatics 20 (3) (2016)
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR (2016)
William Hsu, Charles E. Kahn
The Best of Imaging Informatics Research 2016. AMIA (2016)
Amal Katrib, William Hsu, Alex A. T. Bui, Yi Xing
"Radiotranscriptomics": A synergy of imaging and transcriptomics in clinical assessment. Quant. Biol. 4 (1) (2016)
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. 18 (10) (2016)
Edgar A. Rios Piedra, Benjamin M. Ellingson, Ricky K. Taira, Suzie El-Saden, Alex A. T. Bui, William Hsu
Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries. BrainLes@MICCAI (2016)
Shiwen Shen, Simon X. Han, Panayiotis Petousis, Frank Meng, William Hsu, Alex A. T. Bui
A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. AMIA (2015)
William Hsu, Nestor R. Gonzalez, Aichi Chien, J. Pablo Villablanca, Päivi Pajukanta, Fernando Viñuela, Alex A. T. Bui
An integrated, ontology-driven approach to constructing observational databases for research. J. Biomed. Informatics 55 (2015)
Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar
A data-driven approach for matching clinical expertise to individual cases. ICASSP (2015)
Shiwen Shen, Alex A. T. Bui, Jason Cong, William Hsu
An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy. Comput. Biol. Medicine 57 (2015)
Nova F. Smedley, Ngan Chau, Antonia Petruse, Alex A. T. Bui, Arash Naeim, William Hsu
A Platform for Generating and Validating Breast Risk Models from Clinical Data: Towards Patient-Centered Risk Stratified Screening. AMIA (2015)
Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu, Alex A. T. Bui, Edward Jones, Martin Glavin, Luminita A. Vese
A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods. EMMCVPR (2014)
William Hsu
Representing Evidence from Biomedical Literature for Clinical Decision Support: Challenges on Semantic Computing and Biomedicine. ICSC (2014)
Kyle Singleton, William Speier, Alex A. T. Bui, William Hsu
Motivating the Additional Use of External Validity: Examining Transportability in a Model of Glioblastoma Multiforme. AMIA (2014)
Jean I. Garcia-Gathright, Frank Meng, William Hsu
UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting. TREC (2014)
Maurine Tong, William Hsu, Ricky K. Taira
A Formal Representation for Numerical Data Presented in Published Clinical Trial Reports. MedInfo (2013)
Alex A. T. Bui, William Hsu, Corey W. Arnold, Suzie El-Saden, Denise R. Aberle, Ricky K. Taira
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics. J. Am. Medical Informatics Assoc. 20 (6) (2013)
William Hsu, Alex A. T. Bui
Leveraging Domain Knowledge to Facilitate Visual Exploration of Large Population Datasets. AMIA (2013)
William Hsu, Mia K. Markey, May D. Wang
Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities. J. Am. Medical Informatics Assoc. 20 (6) (2013)
Kyle Singleton, William Hsu, Alex A. T. Bui
Comparing Predictive Models of Glioblastoma Multiforme Built Using Multi-Institutional and Local Data Sources. AMIA (2012)
William Hsu, Ricky K. Taira, Suzie El-Saden, Hooshang Kangarloo, Alex A. T. Bui
Context-Based Electronic Health Record: Toward Patient Specific Healthcare. IEEE Trans. Inf. Technol. Biomed. 16 (2) (2012)
Juan Anna Wu, William Hsu, Alex A. T. Bui
An Approach for Incorporating Context in Building Probabilistic Predictive Models. HISB (2012)
William Hsu, William Speier, Ricky K. Taira
Automated Extraction of Reported Statistical Analyses: Towards a Logical Representation of Clinical Trial Literature. AMIA (2012)
Juan Anna Wu, William Hsu, Alex A. T. Bui
Extracting Relevant Information from Clinical Records: Towards Modeling the Evolution of Intracranial Aneurysms. AMIA (2012)
Hsin-Tsung Peng, Cheng-Yu Lu, William Hsu, Jan-Ming Ho
Disambiguating authors in citations on the web and authorship correlations. Expert Syst. Appl. 39 (12) (2012)
William Hsu, Ricky K. Taira, Fernando Viñuela, Alex A. T. Bui
A Case-Based Retrieval System Using Natural Language Processing and Population-Based Visualization. HISB (2011)
William Hsu, Corey W. Arnold, Ricky K. Taira
A neuro-oncology workstation for structuring, modeling, and visualizing patient records. IHI (2010)
William Hsu, Sameer K. Antani, L. Rodney Long, Leif Neve, George R. Thoma
SPIRS: A Web-based image retrieval system for large biomedical databases. Int. J. Medical Informatics 78 (Supplement-1) (2009)
William Hsu
Two Approaches for Interaction Management in Timbre-Aware Improvisation Systems. ICMC (2008)
Ricky K. Taira, Alex A. T. Bui, William Hsu, Vijayaraghavan Bashyam, Shishir Dube, Emily Watt, Lewellyn P. Andrada, Suzie El-Saden, Timothy F. Cloughesy, Hooshang Kangarloo
A Tool for Improving the Longitudinal Imaging Characterization for Neuro-Oncology Cases. AMIA (2008)
William Hsu, L. Rodney Long, Sameer K. Antani
SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases. MedInfo (2007)
William Hsu
Design Issues in Interaction Modeling for Free Improvisation. NIME (2007)
William Hsu
Managing Gesture and Timbre for Analysis and Instrument Control in an Interactive Environment. NIME (2006)
William Hsu, Alex A. T. Bui
A Framework for Visually Querying a Probabilistic Model of Tumor Image Features. AMIA (2006)
William Hsu
Using Timbre in a Computer-Based Improvisation System. ICMC (2005)