William Hsu

Orcid: 0000-0002-5168-070X

According to our database1, William Hsu authored at least 79 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
Int. J. Comput. Vis., September, 2024

Towards a framework for interoperability and reproducibility of predictive models.
J. Biomed. Informatics, January, 2024

Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images.
CoRR, 2024

Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications.
CoRR, 2024

DART: Deformable Anatomy-Aware Registration Toolkit for Lung CT Registration with Keypoints Supervision.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas.
Comput. Biol. Medicine, November, 2023

Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach.
J. Digit. Imaging, June, 2023

CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Medication adherence prediction through temporal modelling in cardiovascular disease management.
BMC Medical Informatics Decis. Mak., 2022

Self-Supervised Approach to Addressing Zero-Shot Learning Problem.
CoRR, 2022

Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification.
Comput. Biol. Medicine, 2022

OpBerg: Discovering Causal Sentences Using Optimal Alignments.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence.
Proceedings of the AMIA 2022, 2022

2021
FPGA Acceleration for 3-D Low-Dose Tomographic Reconstruction.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines.
CoRR, 2021

Experiment Selection in Meta-Analytic Piecemeal Causal Discovery.
IEEE Access, 2021

Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

A Multi-Pronged Evaluation For Image Normalization Techniques.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network.
IEEE Trans. Medical Imaging, 2020

Discovering and interpreting transcriptomic drivers of imaging traits using neural networks.
Bioinform., 2020

EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.
Expert Syst. Appl., 2019

Using Sequential Decision Making to Improve Lung Cancer Screening Performance.
IEEE Access, 2019

Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Multivariate Sequential Analytics for Treatment Trajectory Forecasting.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Using deep neural networks for radiogenomic analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Generating reward functions using IRL towards individualized cancer screening.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models.
Proceedings of the AMIA 2018, 2018

2017
Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.
Frontiers Neuroinformatics, 2017

A Bayesian model for estimating multi-state disease progression.
Comput. Biol. Medicine, 2017

A Web-based Platform for Evaluating and Disseminating Predictive Models.
Proceedings of the Summit on Clinical Research Informatics, 2017

Translating literature into causal graphs: Toward automated experiment selection.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Robust Lung Nodule Classification using 2.5D Convolutional Neural Network.
Proceedings of the AMIA 2017, 2017

A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application.
Proceedings of the AMIA 2017, 2017

The Best of Imaging Informatics Research 2017.
Proceedings of the AMIA 2017, 2017

2016
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening.
IEEE Trans. Multim., 2016

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.
IEEE J. Biomed. Health Informatics, 2016

"Radiotranscriptomics": A synergy of imaging and transcriptomics in clinical assessment.
Quant. Biol., 2016

A data-driven approach for quality assessment of radiologic interpretations.
J. Am. Medical Informatics Assoc., 2016

Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Assessing variability in brain tumor segmentation to improve volumetric accuracy and characterization of change.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

Evaluating a Novel Summary Visualization for Clinical Trial Reports: A Usability Study.
Proceedings of the AMIA 2016, 2016

MedicineMaps: A Tool for Mapping and Linking Evidence from Experimental and Clinical Trial Literature.
Proceedings of the AMIA 2016, 2016

The Best of Imaging Informatics Research 2016.
Proceedings of the AMIA 2016, 2016

Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine.
Proceedings of the AMIA 2016, 2016

2015
An integrated, ontology-driven approach to constructing observational databases for research.
J. Biomed. Informatics, 2015

An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy.
Comput. Biol. Medicine, 2015

A data-driven approach for matching clinical expertise to individual cases.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Platform for Generating and Validating Breast Risk Models from Clinical Data: Towards Patient-Centered Risk Stratified Screening.
Proceedings of the AMIA 2015, 2015

A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer.
Proceedings of the AMIA 2015, 2015

2014
UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Representing Evidence from Biomedical Literature for Clinical Decision Support: Challenges on Semantic Computing and Biomedicine.
Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014

A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Motivating the Additional Use of External Validity: Examining Transportability in a Model of Glioblastoma Multiforme.
Proceedings of the AMIA 2014, 2014

2013
Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities.
J. Am. Medical Informatics Assoc., 2013

Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics.
J. Am. Medical Informatics Assoc., 2013

A Formal Representation for Numerical Data Presented in Published Clinical Trial Reports.
Proceedings of the MEDINFO 2013, 2013

Leveraging Domain Knowledge to Facilitate Visual Exploration of Large Population Datasets.
Proceedings of the AMIA 2013, 2013

2012
Context-Based Electronic Health Record: Toward Patient Specific Healthcare.
IEEE Trans. Inf. Technol. Biomed., 2012

Disambiguating authors in citations on the web and authorship correlations.
Expert Syst. Appl., 2012

An Approach for Incorporating Context in Building Probabilistic Predictive Models.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Extracting Relevant Information from Clinical Records: Towards Modeling the Evolution of Intracranial Aneurysms.
Proceedings of the AMIA 2012, 2012

Comparing Predictive Models of Glioblastoma Multiforme Built Using Multi-Institutional and Local Data Sources.
Proceedings of the AMIA 2012, 2012

Automated Extraction of Reported Statistical Analyses: Towards a Logical Representation of Clinical Trial Literature.
Proceedings of the AMIA 2012, 2012

2011
A Case-Based Retrieval System Using Natural Language Processing and Population-Based Visualization.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

2010
A neuro-oncology workstation for structuring, modeling, and visualizing patient records.
Proceedings of the ACM International Health Informatics Symposium, 2010

2009
Genetic Programming.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Evolutionary Computation and Genetic Algorithms.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

SPIRS: A Web-based image retrieval system for large biomedical databases.
Int. J. Medical Informatics, 2009

2008
Two Approaches for Interaction Management in Timbre-Aware Improvisation Systems.
Proceedings of the 2008 International Computer Music Conference, 2008

A Tool for Improving the Longitudinal Imaging Characterization for Neuro-Oncology Cases.
Proceedings of the AMIA 2008, 2008

2007
Design Issues in Interaction Modeling for Free Improvisation.
Proceedings of the Seventh International Conference on New Interfaces for Musical Expression, 2007

SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2006
Managing Gesture and Timbre for Analysis and Instrument Control in an Interactive Environment.
Proceedings of the New Interfaces for Musical Expression, 2006

A Framework for Visually Querying a Probabilistic Model of Tumor Image Features.
Proceedings of the AMIA 2006, 2006

2005
Using Timbre in a Computer-Based Improvisation System.
Proceedings of the 2005 International Computer Music Conference, 2005


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