William Hsu

97 papers B 1Misc 19Journal 42Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
GLIDE-Reg: Global-to-Local Deformable Registration Using Co-Optimized Foundation and Handcrafted Features.
CoRR
Yunzheng Zhu, Aichi Chien, Kimaya Kulkarni, Luoting Zhuang, Stephen Park, Ricky Savjani, Daniel Low, William Hsu
2026 J jnl
Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification.
CoRR
Tengyue Zhang, Ruiwen Ding, Luoting Zhuang, Yuxiao Wu, Erika Rodriguez, William Hsu
2025 J jnl
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data.
CoRR
Luoting Zhuang, Stephen H. Park, Steven J. Skates, Ashley Prosper, Denise R. Aberle, William Hsu
2025 — conf
Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules.
ISBI
Luoting Zhuang, Seyed Mohammad Hossein Tabatabaei, Ashley E. Prosper, William Hsu
2025 J jnl
Evaluating an information theoretic approach for selecting multimodal data fusion methods.
J. Biomed. Informatics
Tengyue Zhang, Ruiwen Ding, Kha-Dinh Luong, William Hsu
2025 J jnl
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges.
CoRR
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025 — conf
On the logical (in)consistency of code-generating LLMs.
Software Engineering Companion
Ke Dong, William Hsu, Pascal Hitzler, Eugene Y. Vasserman
2025 J jnl
Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Early Lung Cancer Detection.
CoRR
Luoting Zhuang, Seyed Mohammad Hossein Tabatabaei, Ramin Salehi-Rad, Linh M. Tran, Denise R. Aberle, Ashley Prosper, William Hsu
2025 J jnl
Vision-language model-based semantic-guided imaging biomarker for lung nodule malignancy prediction.
J. Biomed. Informatics
Luoting Zhuang, Seyed Mohammad Hossein Tabatabaei, Ramin Salehi-Rad, Linh M. Tran, Denise R. Aberle, Ashley E. Prosper, William Hsu
2024 J jnl
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images.
CoRR
Ruiwen Ding, Kha-Dinh Luong, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
2024 — conf
DART: Deformable Anatomy-Aware Registration Toolkit for Lung CT Registration with Keypoints Supervision.
ISBI
Yunzheng Zhu, Luoting Zhuang, Yannan Lin, Tengyue Zhang, Seyed Mohammad Hossein Tabatabaei, Denise R. Aberle, Ashley Prosper, Aichi Chien, William Hsu
2024 — conf
Exploring the Impact of Acquisition and Reconstruction Parameters on an Imaging-Based Lung Cancer Risk Model.
EMBC
Luoting Zhuang, Anil Yadav, Grace H. Kim, Seyed Mohammad Hossein Tabatabaei, Ashley Prosper, William Hsu
2024 J jnl
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
Int. J. Comput. Vis.
Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao
2024 J jnl
Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications.
CoRR
Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu
2024 J jnl
Towards a framework for interoperability and reproducibility of predictive models.
J. Biomed. Informatics
Al Rahrooh, Anders O. Garlid, Kelly Bartlett, Warren Coons, Panayiotis Petousis, William Hsu, Alex A. T. Bui
2023 — conf
CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows.
MICCAI (7)
Leihao Wei, Anil Yadav, William Hsu
2023 J jnl
Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach.
J. Digit. Imaging
Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu
2023 J jnl
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
CoRR
Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
2023 J jnl
Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas.
Comput. Biol. Medicine
Ruiwen Ding, Anil Yadav, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
2023 — conf
Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction.
ISBI
Ruiwen Ding, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu
2022 J jnl
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification.
Comput. Biol. Medicine
Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu
2022 Misc conf
Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence.
AMIA
Yannan Lin, Ruiwen Ding, Ashley Prosper, Denise R. Aberle, Alex A. T. Bui, William Hsu
2022 J jnl
Medication adherence prediction through temporal modelling in cardiovascular disease management.
BMC Medical Informatics Decis. Mak.
William Hsu, James R. Warren, Patricia J. Riddle
2022 B conf
OpBerg: Discovering Causal Sentences Using Optimal Alignments.
DaWaK
Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
2022 J jnl
Self-Supervised Approach to Addressing Zero-Shot Learning Problem.
CoRR
Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman
2021 — conf
A Multi-Pronged Evaluation For Image Normalization Techniques.
ISBI
Tianqing Li, Leihao Wei, William Hsu
2021 J jnl
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines.
CoRR
Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis
2021 J jnl
Experiment Selection in Meta-Analytic Piecemeal Causal Discovery.
IEEE Access
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2021 J jnl
FPGA Acceleration for 3-D Low-Dose Tomographic Reconstruction.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Wentai Zhang, Linjun Qiao, William Hsu, Yong Cui, Ming Jiang, Guojie Luo
2021 — conf
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications.
Computer-Aided Diagnosis
Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu
2020 J jnl
Discovering and interpreting transcriptomic drivers of imaging traits using neural networks.
Bioinform.
Nova F. Smedley, Suzie El-Saden, William Hsu
2020 — conf
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography.
Computer-Aided Diagnosis
Yannan Lin, Leihao Wei, Simon X. Han, Denise R. Aberle, William Hsu
2020 J jnl
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network.
IEEE Trans. Medical Imaging
Meng Li, William Hsu, Xiaodong Xie, Jason Cong, Wen Gao
2020 — conf
Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic Features.
ISBI
Leihao Wei, Yannan Lin, William Hsu
2020 J jnl
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features.
CoRR
Leihao Wei, Yannan Lin, William Hsu
2019 J jnl
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.
Expert Syst. Appl.
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
2019 — conf
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.
CVPR Workshops
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
2019 — conf
Multivariate Sequential Analytics for Treatment Trajectory Forecasting.
ACSW
William Hsu, Jim Warren, Patricia Riddle
2019 J jnl
OpBerg: Discovering causal sentences using optimal alignments.
CoRR
Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
2019 J jnl
Using Sequential Decision Making to Improve Lung Cancer Screening Performance.
IEEE Access
Panayiotis Petousis, Audrey Winter, William Speier, Denise R. Aberle, William Hsu, Alex A. T. Bui
2019 — ed.
Workshop on Artificial Intelligence in Affective Computing, AffComp@IJCAI 2019, 10 August 2019, Macao, China
AffComp@IJCAI
William Hsu
2018 J jnl
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification.
CoRR
Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu
2018 — conf
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network.
DLMIA/ML-CDS@MICCAI
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
2018 J jnl
Computed Tomography Image Enhancement using 3D Convolutional Neural Network.
CoRR
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
2018 Misc conf
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models.
AMIA
Panayiotis Petousis, Arash Naeim, Ali Mosleh, William Hsu
2018 — conf
Generating Reward Functions Using IRL Towards Individualized Cancer Screening.
AIH@IJCAI (Revised Selected Papers)
Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
2018 — conf
Generating reward functions using IRL towards individualized cancer screening.
AIH@IJCAI
Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
2018 — conf
Using deep neural networks for radiogenomic analysis.
ISBI
Nova F. Smedley, William Hsu
2017 J jnl
A Bayesian model for estimating multi-state disease progression.
Comput. Biol. Medicine
Shiwen Shen, Simon X. Han, Panayiotis Petousis, Robert E. Weiss, Frank Meng, Alex A. T. Bui, William Hsu
2017 Misc conf
A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application.
AMIA
Edgar A. Rios Piedra, Iren Orosz, Mary Zide, Suzie M. El-Saden, Ricky K. Taira, Alex A. T. Bui, William Hsu
2017 — conf
A Web-based Platform for Evaluating and Disseminating Predictive Models.
CRI
William Hsu, Frank Meng, Panayiotis Petousis, Weixia Yu, Alex A. T. Bui
2017 J jnl
Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.
Frontiers Neuroinformatics
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2017 Misc conf
Robust Lung Nodule Classification using 2.5D Convolutional Neural Network.
AMIA
Shiwen Shen, Alex A. T. Bui, William Hsu
2017 Misc conf
The Best of Imaging Informatics Research 2017.
AMIA
William Hsu, Charles E. Kahn
2017 — conf
Translating literature into causal graphs: Toward automated experiment selection.
BIBM
Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2016 J jnl
"Radiotranscriptomics": A synergy of imaging and transcriptomics in clinical assessment.
Quant. Biol.
Amal Katrib, William Hsu, Alex A. T. Bui, Yi Xing
2016 J jnl
A data-driven approach for quality assessment of radiologic interpretations.
J. Am. Medical Informatics Assoc.
William Hsu, Simon X. Han, Corey W. Arnold, Alex A. T. Bui, Dieter R. Enzmann
2016 — conf
Assessing variability in brain tumor segmentation to improve volumetric accuracy and characterization of change.
BHI
Edgar A. Rios Piedra, Ricky K. Taira, Suzie El-Saden, Benjamin M. Ellingson, Alex A. T. Bui, William Hsu
2016 — conf
Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries.
BrainLes@MICCAI
Edgar A. Rios Piedra, Benjamin M. Ellingson, Ricky K. Taira, Suzie El-Saden, Alex A. T. Bui, William Hsu
2016 J jnl
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening.
CoRR
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016 J jnl
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening.
IEEE Trans. Multim.
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016 Misc conf
Evaluating a Novel Summary Visualization for Clinical Trial Reports: A Usability Study.
AMIA
Maurine Tong, William Hsu, Ricky K. Taira
2016 Misc conf
MedicineMaps: A Tool for Mapping and Linking Evidence from Experimental and Clinical Trial Literature.
AMIA
Nicholas J. Matiasz, Wei-Ting Chen, Alcino J. Silva, William Hsu
2016 Misc conf
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine.
AMIA
Lee Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma
2016 Misc conf
The Best of Imaging Informatics Research 2016.
AMIA
William Hsu, Charles E. Kahn
2016 J jnl
Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.
IEEE J. Biomed. Health Informatics
Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar
2015 Misc conf
A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer.
AMIA
Shiwen Shen, Simon X. Han, Panayiotis Petousis, Frank Meng, William Hsu, Alex A. T. Bui
2015 Misc conf
A Platform for Generating and Validating Breast Risk Models from Clinical Data: Towards Patient-Centered Risk Stratified Screening.
AMIA
Nova F. Smedley, Ngan Chau, Antonia Petruse, Alex A. T. Bui, Arash Naeim, William Hsu
2015 Misc conf
A data-driven approach for matching clinical expertise to individual cases.
ICASSP
Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar
2015 J jnl
An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy.
Comput. Biol. Medicine
Shiwen Shen, Alex A. T. Bui, Jason Cong, William Hsu
2015 J jnl
An integrated, ontology-driven approach to constructing observational databases for research.
J. Biomed. Informatics
William Hsu, Nestor R. Gonzalez, Aichi Chien, J. Pablo Villablanca, Päivi Pajukanta, Fernando Viñuela, Alex A. T. Bui
2014 — conf
A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods.
EMMCVPR
Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu, Alex A. T. Bui, Edward Jones, Martin Glavin, Luminita A. Vese
2014 Misc conf
Motivating the Additional Use of External Validity: Examining Transportability in a Model of Glioblastoma Multiforme.
AMIA
Kyle Singleton, William Speier, Alex A. T. Bui, William Hsu
2014 — conf
Representing Evidence from Biomedical Literature for Clinical Decision Support: Challenges on Semantic Computing and Biomedicine.
ICSC
William Hsu
2014 — conf
UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting.
TREC
Jean I. Garcia-Gathright, Frank Meng, William Hsu
2013 — conf
A Formal Representation for Numerical Data Presented in Published Clinical Trial Reports.
MedInfo
Maurine Tong, William Hsu, Ricky K. Taira
2013 J jnl
Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities.
J. Am. Medical Informatics Assoc.
William Hsu, Mia K. Markey, May D. Wang
2013 Misc conf
Leveraging Domain Knowledge to Facilitate Visual Exploration of Large Population Datasets.
AMIA
William Hsu, Alex A. T. Bui
2013 J jnl
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics.
J. Am. Medical Informatics Assoc.
Alex A. T. Bui, William Hsu, Corey W. Arnold, Suzie El-Saden, Denise R. Aberle, Ricky K. Taira
2012 — conf
An Approach for Incorporating Context in Building Probabilistic Predictive Models.
HISB
Juan Anna Wu, William Hsu, Alex A. T. Bui
2012 Misc conf
Automated Extraction of Reported Statistical Analyses: Towards a Logical Representation of Clinical Trial Literature.
AMIA
William Hsu, William Speier, Ricky K. Taira
2012 Misc conf
Comparing Predictive Models of Glioblastoma Multiforme Built Using Multi-Institutional and Local Data Sources.
AMIA
Kyle Singleton, William Hsu, Alex A. T. Bui
2012 J jnl
Context-Based Electronic Health Record: Toward Patient Specific Healthcare.
IEEE Trans. Inf. Technol. Biomed.
William Hsu, Ricky K. Taira, Suzie El-Saden, Hooshang Kangarloo, Alex A. T. Bui
2012 J jnl
Disambiguating authors in citations on the web and authorship correlations.
Expert Syst. Appl.
Hsin-Tsung Peng, Cheng-Yu Lu, William Hsu, Jan-Ming Ho
2012 Misc conf
Extracting Relevant Information from Clinical Records: Towards Modeling the Evolution of Intracranial Aneurysms.
AMIA
Juan Anna Wu, William Hsu, Alex A. T. Bui
2011 — conf
A Case-Based Retrieval System Using Natural Language Processing and Population-Based Visualization.
HISB
William Hsu, Ricky K. Taira, Fernando Viñuela, Alex A. T. Bui
2010 — conf
A neuro-oncology workstation for structuring, modeling, and visualizing patient records.
IHI
William Hsu, Corey W. Arnold, Ricky K. Taira
2009 — ch.
Evolutionary Computation and Genetic Algorithms.
Encyclopedia of Data Warehousing and Mining
William Hsu
2009 — ch.
Genetic Programming.
Encyclopedia of Data Warehousing and Mining
William Hsu
2009 J jnl
SPIRS: A Web-based image retrieval system for large biomedical databases.
Int. J. Medical Informatics
William Hsu, Sameer K. Antani, L. Rodney Long, Leif Neve, George R. Thoma
2008 Misc conf
A Tool for Improving the Longitudinal Imaging Characterization for Neuro-Oncology Cases.
AMIA
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
2008 — conf
Two Approaches for Interaction Management in Timbre-Aware Improvisation Systems.
ICMC
William Hsu
2007 — conf
Design Issues in Interaction Modeling for Free Improvisation.
NIME
William Hsu
2007 — conf
SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases.
MedInfo
William Hsu, L. Rodney Long, Sameer K. Antani
2006 Misc conf
A Framework for Visually Querying a Probabilistic Model of Tumor Image Features.
AMIA
William Hsu, Alex A. T. Bui
2006 — conf
Managing Gesture and Timbre for Analysis and Instrument Control in an Interactive Environment.
NIME
William Hsu
2005 — conf
Using Timbre in a Computer-Based Improvisation System.
ICMC
William Hsu