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William Hsu
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2020 – today
- 2024
- [j25]Elisa Warner
, Joonsang Lee, William Hsu
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. 132(9): 3753-3769 (2024) - [j24]Al Rahrooh
Towards a framework for interoperability and reproducibility of predictive models. J. Biomed. Informatics 149: 104551 (2024) - [c49]Yunzheng Zhu, Luoting Zhuang, Yannan Lin, Tengyue Zhang, Hossein Tabatabaei, Denise R. Aberle, Ashley Prosper, Aichi Chien, William Hsu
DART: Deformable Anatomy-Aware Registration Toolkit for Lung CT Registration with Keypoints Supervision. ISBI 2024: 1-5 - [i10]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 abs/2405.13237 (2024) - [i9]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 abs/2406.04377 (2024) - 2023
- [j23]Ruiwen Ding
Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas. Comput. Biol. Medicine 166: 107484 (2023) - [j22]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): 1016-1028 (2023) - [c48]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: 1-5 - [c47]Leihao Wei, Anil Yadav, William Hsu
CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows. MICCAI (7) 2023: 413-422 - [i8]Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR abs/2311.02332 (2023) - 2022
- [j21]Kalyani Marathe
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022) - [j20]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): 313 (2022) - [c46]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 - [c45]Justin Wood, Nicholas J. Matiasz
OpBerg: Discovering Causal Sentences Using Optimal Alignments. DaWaK 2022: 17-30 - [i7]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 abs/2201.01391 (2022) - 2021
- [j19]Nicholas J. Matiasz
Experiment Selection in Meta-Analytic Piecemeal Causal Discovery. IEEE Access 9: 97929-97941 (2021) - [j18]Wentai Zhang
FPGA Acceleration for 3-D Low-Dose Tomographic Reconstruction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 666-679 (2021) - [c44]Tianqing Li, Leihao Wei
A Multi-Pronged Evaluation For Image Normalization Techniques. ISBI 2021: 1292-1296 - [c43]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 - [i6]Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis:
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines. CoRR abs/2103.01426 (2021) - 2020
- [j17]Nova F. Smedley
Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinform. 36(11): 3537-3548 (2020) - [j16]Meng Li
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network. IEEE Trans. Medical Imaging 39(7): 2289-2301 (2020) - [c42]Leihao Wei
Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic Features. ISBI 2020: 844-848 - [c41]Yannan Lin
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Medical Imaging: Computer-Aided Diagnosis 2020 - [i5]Leihao Wei, Yannan Lin, William Hsu
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features. CoRR abs/2001.08741 (2020)
2010 – 2019
- 2019
- [j15]Panayiotis Petousis
Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access 7: 119403-119419 (2019) - [j14]Shiwen Shen, Simon X. Han
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification. Expert Syst. Appl. 128: 84-95 (2019) - [c40]William Hsu, Jim Warren, Patricia Riddle:
Multivariate Sequential Analytics for Treatment Trajectory Forecasting. ACSW 2019: 20:1-20:15 - [c39]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: 63-66 - [e1]William Hsu:
Workshop on Artificial Intelligence in Affective Computing, AffComp@IJCAI 2019, 10 August 2019, Macao, China. Proceedings of Machine Learning Research 122, PMLR 2019 [contents] - [i4]Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang:
OpBerg: Discovering causal sentences using optimal alignments. CoRR abs/1904.02032 (2019) - 2018
- [c38]Panayiotis Petousis, Arash Naeim, Ali Mosleh, William Hsu:
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models. AMIA 2018 - [c37]Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui:
Generating reward functions using IRL towards individualized cancer screening. AIH@IJCAI 2018: 109-120 - [c36]Panayiotis Petousis
Generating Reward Functions Using IRL Towards Individualized Cancer Screening. AIH@IJCAI (Revised Selected Papers) 2018: 213-227 - [c35]Nova F. Smedley, William Hsu
Using deep neural networks for radiogenomic analysis. ISBI 2018: 1529-1533 - [c34]Meng Li, Shiwen Shen, Wen Gao, William Hsu
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network. DLMIA/ML-CDS@MICCAI 2018: 291-299 - [i3]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 abs/1806.00712 (2018) - [i2]Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong:
Computed Tomography Image Enhancement using 3D Convolutional Neural Network. CoRR abs/1807.06821 (2018) - 2017
- [j13]Shiwen Shen, Simon X. Han
A Bayesian model for estimating multi-state disease progression. Comput. Biol. Medicine 81: 111-120 (2017) - [j12]Nicholas J. Matiasz
Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience. Frontiers Neuroinformatics 11: 12 (2017) - [c33]William Hsu, Charles E. Kahn:
The Best of Imaging Informatics Research 2017. AMIA 2017 - [c32]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 - [c31]Shiwen Shen, Alex A. T. Bui, William Hsu:
Robust Lung Nodule Classification using 2.5D Convolutional Neural Network. AMIA 2017 - [c30]Nicholas J. Matiasz
Translating literature into causal graphs: Toward automated experiment selection. BIBM 2017: 573-576 - [c29]William Hsu, Frank Meng, Panayiotis Petousis, Weixia Yu, Alex A. T. Bui:
A Web-based Platform for Evaluating and Disseminating Predictive Models. CRI 2017 - 2016
- [j11]William Hsu
A data-driven approach for quality assessment of radiologic interpretations. J. Am. Medical Informatics Assoc. 23(e1): e152-e156 (2016) - [j10]Amal Katrib, William Hsu
"Radiotranscriptomics": A synergy of imaging and transcriptomics in clinical assessment. Quant. Biol. 4(1): 1-12 (2016) - [j9]Linqi Song
Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE J. Biomed. Health Informatics 20(3): 902-914 (2016) - [j8]Ahmed M. Alaa, Kyeong H. Moon, William Hsu
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. 18(10): 1942-1955 (2016) - [c28]Lee A. D. Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma:
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA 2016 - [c27]William Hsu, Charles E. Kahn:
The Best of Imaging Informatics Research 2016. AMIA 2016 - [c26]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 - [c25]Maurine Tong, William Hsu, Ricky K. Taira:
Evaluating a Novel Summary Visualization for Clinical Trial Reports: A Usability Study. AMIA 2016 - [c24]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: 380-383 - [c23]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: 206-216 - [i1]Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar:
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR abs/1602.00374 (2016) - 2015
- [j7]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: 139-149 (2015) - [j6]William Hsu
An integrated, ontology-driven approach to constructing observational databases for research. J. Biomed. Informatics 55: 132-142 (2015) - [c22]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 - [c21]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 - [c20]Onur Atan, William Hsu
A data-driven approach for matching clinical expertise to individual cases. ICASSP 2015: 2105-2109 - 2014
- [c19]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 - [c18]Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu
A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods. EMMCVPR 2014: 478-491 - [c17]William Hsu
Representing Evidence from Biomedical Literature for Clinical Decision Support: Challenges on Semantic Computing and Biomedicine. ICSC 2014: 1-2 - [c16]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 - 2013
- [j5]William Hsu
Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities. J. Am. Medical Informatics Assoc. 20(6): 1010-1013 (2013) - [j4]Alex A. T. Bui, William Hsu
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics. J. Am. Medical Informatics Assoc. 20(6): 1053-1058 (2013) - [c15]William Hsu, Alex A. T. Bui:
Leveraging Domain Knowledge to Facilitate Visual Exploration of Large Population Datasets. AMIA 2013 - [c14]Maurine Tong, William Hsu
A Formal Representation for Numerical Data Presented in Published Clinical Trial Reports. MedInfo 2013: 856-860 - 2012
- [j3]Hsin-Tsung Peng, Cheng-Yu Lu, William Hsu
Disambiguating authors in citations on the web and authorship correlations. Expert Syst. Appl. 39(12): 10521-10532 (2012) - [j2]William Hsu
Context-Based Electronic Health Record: Toward Patient Specific Healthcare. IEEE Trans. Inf. Technol. Biomed. 16(2): 228-234 (2012) - [c13]William Hsu, William Speier, Ricky K. Taira:
Automated Extraction of Reported Statistical Analyses: Towards a Logical Representation of Clinical Trial Literature. AMIA 2012 - [c12]Kyle Singleton, William Hsu, Alex A. T. Bui:
Comparing Predictive Models of Glioblastoma Multiforme Built Using Multi-Institutional and Local Data Sources. AMIA 2012 - [c11]Juan Anna Wu, William Hsu, Alex A. T. Bui:
Extracting Relevant Information from Clinical Records: Towards Modeling the Evolution of Intracranial Aneurysms. AMIA 2012 - [c10]Juan Anna Wu, William Hsu
An Approach for Incorporating Context in Building Probabilistic Predictive Models. HISB 2012: 96-105 - 2011
- [c9]William Hsu
A Case-Based Retrieval System Using Natural Language Processing and Population-Based Visualization. HISB 2011: 221-228 - 2010
- [c8]William Hsu
A neuro-oncology workstation for structuring, modeling, and visualizing patient records. IHI 2010: 837-840
2000 – 2009
- 2009
- [j1]William Hsu
SPIRS: A Web-based image retrieval system for large biomedical databases. Int. J. Medical Informatics 78(Supplement-1): S13-S24 (2009) - [r2]William Hsu:
Evolutionary Computation and Genetic Algorithms. Encyclopedia of Data Warehousing and Mining 2009: 817-822 - [r1]William Hsu:
Genetic Programming. Encyclopedia of Data Warehousing and Mining 2009: 926-931 - 2008
- [c7]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 - [c6]William Hsu:
Two Approaches for Interaction Management in Timbre-Aware Improvisation Systems. ICMC 2008 - 2007
- [c5]William Hsu, L. Rodney Long, Sameer K. Antani:
SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases. MedInfo 2007: 188-192 - [c4]William Hsu:
Design Issues in Interaction Modeling for Free Improvisation. NIME 2007: 367-370 - 2006
- [c3]William Hsu, Alex A. T. Bui:
A Framework for Visually Querying a Probabilistic Model of Tumor Image Features. AMIA 2006 - [c2]William Hsu:
Managing Gesture and Timbre for Analysis and Instrument Control in an Interactive Environment. NIME 2006: 376-379 - 2005
- [c1]William Hsu:
Using Timbre in a Computer-Based Improvisation System. ICMC 2005
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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