William Hsu, PhD

Assistant Professor
  • Department of Radiological Sciences
Affiliate Faculty
  • Department of Bioengineering
  • MII Research in Informatics Summer Experience

Office: 924 Westwood Blvd, Suite 420, Room

Phone: (310) 794-3536

E-Mail: whsu@mednet.ucla.edu



I am an Assistant Professor in Residence in the Department of Radiological Sciences and part of the UCLA Medical Imaging Informatics Group. I am also a faculty affiliate of the Department of Bioengineering and the Institute of Quantitative and Computational Biosciences (QCB). I actively collaborate with faculty members in the Center for Domain Specific Computing, Clinical & Translational Science Institute, and UCLA-PKU Joint Research Institute. I currently serve as Chair of the AMIA Biomedical Imaging Informatics Working Group. In addition to mentoring graduate students, I lead a UC-HBCU Summer Pathways Grant and am a faculty mentor for the Cross-disciplinary Scholars in Science and Technology program.

Reseach Interests

  • Bridging the knowledge gap between multimodal biomedical data
  • Formalizing literature for treatment selection and experiment planning
  • Improving the external validity of predictive models
  • Improving clinicians' and researchers' abilities to understand clinical data at the point of care
  • Applications of informatics techniques in quality improvement

Current Funded Projects

  • Principal Investigator, UCLA CTSI Pathfinder Award
  • Principal Investigator, University of California Historically Black Colleges and Universities (UC-HBCU) Initiative
  • Investigator, Population-based Patient-centered Risk Stratified Breast and Lung Cancer Screening (JCCC Impact Award)
  • Investigator, A Predictive Prognostic Model for Glioblastoma Multiforme (NIH, R01-CA157553)
  • Investigator, An Observational Acute Stroke Model for Decision Support and Comparing Outcomes (NIH, R01-NS076534)
  • Investigator, RUMI: A Patient Portal for Retrieving Understandable Medical Information (NIH, R01-LM011333)
  • Investigator, Accelerator-Rich Architectures with Applications to Healthcare (NSF, CCF-146827)


  1. Matiasz NJ, Wood J, Wang W, Silva AJ, Hsu W. Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience. Front Neuroinform. 2017 Feb;11(12). DOI: 10.3389/fninf.2017.00012. PDF
  2. Speier W, Deshpande A, Cui L, Chandravadia N, Roberts D, Pouratian N. A comparison of stimulus types in online classification of the P300 speller using language models. Plos One. 2017;12(4):e0175382.
  3. Ho K, Speier W, El-Saden S, Arnold C. Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. AMIA Annu Symp Proc. 2017.
  4. Shen S, Han SX, Petousis P, Weiss RE, Meng F, Bui AAT, Hsu W. A Bayesian model for estimating multi-state disease progression. Comput Biol Med. 2017;81:1111–120. DOI: 10.1016/j.compbiomed.2016.12.011. PDF
  5. Speier W, Chandravadia N, Roberts D, Pendekanti S, Pouratian N. Online BCI Typing using Language Model Classifiers by ALS Patients in their Homes. Brain-Computer Interfaces. 2017;4:114–121.
  6. Mostafavi L, Hollada J, Speier W, Ruehm S. Patients’ Perceptions of Risks and Benefits of Cardiac Imaging. Annual Congress of the European Congress of Radiology. 2017.
  7. Chandravadia N, Speier W, Roberts D, Pendekanti S, Pouratian N. Evaluating the effect of stimulus paradigms on typing speed using the P300 speller in an online setting. UC BME Symposium. 2017.
  8. Roberts D, Speier W, Chandravadia N, Pendekanti S, Pouratian N. Optimizing EEG Electrode Configuration in a P300 Speller Brain-Computer Interface: a step toward Clinical Implementation. UC BME Symposium. 2017.
  9. Hollada J, Zide M, Speier W, Roter E. Readability assessment of PCORI public abstracts in relation to accessibility. Epidemiology. 2017;28(4):e37–e38.
  1. Young S, Lo P, Hoffman J, Kim H, Hsu W, Flores C, Lee G, Brown M, McNitt-Gray M. CAD performance on a large cohort of National Lung Screening Trial patients at screening and sub-screening doses. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
  2. Piedra EAR, Taira RK, El-Saden S, Ellingson BM, Bui AAT, Hsu W. GlioView: An application that visualizes variability in brain tumor segmentation to inform the clinical assessment of change. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
  3. Matiasz NJ, Chen W-T, Silva AJ, Hsu W. MedicineMaps: A tool for mapping and linking evidence from experimental and clinical trial literature. AMIA Annu Symp Proc. Chicago, IL; 2016.
  4. Hsu W, Maehara CK, Andrada LP, Beckett KR, McWilliams JP, Moriarty JM, Enzmann DR. Using Time-Driven Activity Based Costing (TDABC) to characterize cost variability in interventional radiology procedures. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
  5. Tong M, Hsu W, Taira RK. A visualization for clinical trial reports: A usability study. AMIA Annu Symp Proc. Chicago, IL; 2016.
  6. Hsu W, El-Saden S, Taira RK. Medical Imaging Informatics. In: Shen B, Tang H, Jiang X, editors. Translational Biomedical Informatics: A Precision Medicine Perspective. Singapore: Springer; 2016.
  7. Panigrahi B, Hollada J, Speier W, Harvey S. Innovations in decreasing recall rates for screening mammography. SBI/ACR Breat Imaging Symposium. 2016.
  8. Speier W, Chandravadia N, Pouratian N. Online BCI Typing using Language Models by ALS Patients in their Homes. International Brain-Computer Interface (BCI) Meeting. 2016.
  9. Wibulpolprasert P, Raman SS, Khoshnoodi P, Yu W, Hsu W, Tan N, Huang J, Lu D, Margolis DJ, Reiter R. MP53-05 Performance of 3T multiparameteric MRI in diagnosis of prostate cancer in comparison with whole mount histopathology: A 5 year experience. Urology [Internet]. 2016;195(4):e698. Retrieved from: http://www.jurology.com/article/S0022-5347(16)00790-4/abstract DOI: http://dx.doi.org/10.1016/j.juro.2016.02.502.
  10. Shen S, Zhong X, Hsu W, Bui AAT, Wu H, Kuo M, Raman S, Margolis DJA, Sung KH. Quantitative MRI-Driven Deep Learning for Detection of Clinical Significant Prostate Cancer. 24th Intl Soc Magnetic Resonance in Medicine (ISMRM) Annual Meeting. Singapore; 2016.
  11. Speier W, Ong M, Arnold C. Using phrases and document metadata to improve topic modeling of clinical reports. Journal of Biomedical Informatics. 2016;61:260–266.
  12. Speier W, Arnold C, Pouratian N. Integrating language models into classifiers for BCI communication: a review. Journal of Neural Engineering. 2016;12:031002.
  13. Alaa A, Moon K, Hsu W, Schaar M van der. ConfidentCare: A clinical decision support system for personalized breast cancer screening. IEEE Transactions on Multimedia [Internet]. 2016;18(10):1942–55. Retrieved from: http://www.jurology.com/article/S0022-5347(16)00790-4/abstract DOI: http://dx.doi.org/10.1016/j.juro.2016.02.502.
  14. Zaghi S, Alonso J, Orestes M, Kadin N, Hsu W, Berke G. Idiopathic subglottic stenosis: A comparison of tracheal size. Ann Otol Rhinol Laryngol [Internet]. 2016;125(8):622–6. Retrieved from: http://www.jurology.com/article/S0022-5347(16)00790-4/abstract DOI: http://dx.doi.org/10.1016/j.juro.2016.02.502.
  15. Piedra EAR, Taira RK, El-Saden S, Ellingson BM, Bui AAT, Hsu W. Assessing variability in brain tumor segmentation to improve volumetric accuracy and characterization of change. Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS. Chicago, IL; 2016. DOI: http://dx.doi.org/10.1109/BHI.2016.7455914.
  1. Nikkola E, Laiwalla A, Ko A, Alvarez M, Connolly M, Ooi YC, Hsu W, Bui AAT, Pajukanta P, Gonzalez NR. Remote ischemic conditioning alters methylation and expression of cell cycle genes in aneurysmal subarachnoid hemorrhage. Stroke. 2015;46:2445–51. DOI: 10.1161/STROKEAHA.115.009618. PDF
  2. Hsu W, Gonzalez NR, Chien A, Villablanca PJ, Pajukanta P, Vinuela F, Bui AAT. An integrated, ontology-driven approach to constructing observational databases for research. J Biomed Inform. 2015;55:132–42. DOI: 10.1016/j.jbi.2015.03.008. PDF
  3. Garcia-Gathright JI, Oh A, Abarca PA, Han M, Sago W, Spiegel ML, Wolf B, Garon EB, Bui AAT, Aberle DR. Representing and extracting lung cancer study metadata: Study objective and study design. Comput Biol Med. 2015;58:63–72. DOI: 10.1016/j.compbiomed.2015.01.004. PDF
  4. Shen S, Bui AAT, Cong J, Hsu W. An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy. Comput Biol Med. 2015;57:139–49. DOI: 10.1016/j.compbiomed.2014.12.008. PDF
  5. Duggan N, Bae E, Shen S, Hsu W, Bui AAT, Jones E, Glavin M, Vese L. A technique for lung nodule candidate detection in CT using global minimization methods. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer International Publishing; 2015. PDF
  6. Speier W, Deshpande A, Pouratian N. A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems. Clin Neurophysiol. 2015;126:1171–7. DOI: 10.1016/j.clinph.2014.09.021. PDF
  7. Laviana AA, Ilg AM, Veruttipong D, Tan H-J, Burke MA, Niedzwiecki DR, Kupelian PA, King CR, Steinberg ML, Kundavaram CR, Kamrava M, Kaplan AL, Moriarity AK, Hsu W, Margolis DJA, Hu JC, Saigal CS. Utilizing time-driven activity-based costing to understand the short- and long-term costs of treating localized, low-risk prostate cancer. Cancer. 2015;In press. DOI: 10.1002/cncr.29743. PDF
  8. Abtin F, Suh RD, Nasehi L, Han SX, Hsu W, Quirk M, Genshaft SJ, Gutierrez AJ, Cameron RB. Percutaneous cryoablation for the treatment of recurrent thymoma: Preliminary safety and efficacy. J Vasc Interv Radiol. 2015;26:709–14. DOI: 10.1016/j.jvir.2014.12.024. PDF
  9. Song L, Hsu W, Xu J, Schaar M van der. Using contextual learning to improve diagnostic accuracy: Application in breast cancer screening. IEEE J Biomed Health Inform. 2015; DOI: 10.1109/JBHI.2015.2414934. PDF
  10. Speier W, Arnold CW, Deshpande A, Knall J, Pouratian N. Incorporating advanced language models into the P300 speller using particle filtering. Journal of Neural Engineering. 2015;12:046018. PDF
  11. Arnold CW, Oh A, Chen S, Speier W. Evaluating topic model interpretability from a primary care physician perspective. Computer Methods and Programs in Biomedicine. 2015;In press. DOI: 10.1016/j.cmpb.2015.10.014. PDF
  12. Smedley NF, Chau N, Petruse A, Bui AAT, Naeim A, Hsu W. A platform for generating and validating breast risk models from clinical data: Towards patient-centered risk stratified screening. AMIA Annu Symp Proc. San Francisco, CA, USA; 2015.
  13. Shen S, Han SX, Petousis P, Meng F, Bui AAT, Hsu W. Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. AMIA Annu Symp Proc. San Francisco, CA, USA; 2015.
  14. Hsu W, Han SX, Arnold CW, Bui AAT, Enzmann DR. A data-driven approach for quality assessment of radiologic interpretations. J Am Med Inform Assoc. 2015; DOI: 10.1093/jamia/ocv161.
  15. Mostafavi L, Marfori W, Arellano C, Tognolini A, Speier W, Adibi A, Ruehm S. Prevalence of Coronary Artery Disease Evluated by Coronary CT Angiography in Women with Mammographically Detected Breast Arterial Calcifications. Plos One. 2015;10(4):e0122289.
  16. Hollada J, Speier W, Oshiro T, Marzan-McGill R, Ruehm S, Bassett L, Wells C. Patients’ Perceptions of Radiation Exposure Associated with Mammography. American Journal of Roentgenology. 2015;205:215–221.
  17. Hollada J, Mostafavi L, Speier W, Javidi S, Ruehm S. Cardiac Imaging Exams: Patient Awareness of Associated Utilization of Radiation. RSNA Annual Meeting. 2015.
  1. Ho KC, Speier W, El-Saden S, Liebeskind DS, Saver JL, Bui AAT, Arnold CW. Predicting discharge mortality after acute ischemic stroke using balanced data. AMIA Annu Symp Proc. 2014. p. 1787–96. PDF
  2. Singleton KW, Speier W, Bui AAT, Hsu W. Motivating the additional use of external validity: Examining transportability in a model of glioblastoma multiforme. AMIA Annu Symp Proc. 2014. p. 1930–9. PDF
  3. Speier W, Arnold CW, Lu J, Deshpande A, Pouratian N. Integrating language information with a hidden Markov model to improve communication rate in the P300 speller. IEEE Trans Neural Syst Rehabil Eng. 2014;22:678–84. DOI: 10.1109/TNSRE.2014.2300091. PDF
  4. Han SX, Hsu W, Arnold CW, Margolis DJA, Bui AAT, Enzmann DR. RadQA: Automated quality control of radiological interpretations in prostate cancer. RSNA Annual Meeting. Chicago, IL; 2014.
  5. Ho KC, Speier W, El-Saden S, Liebeskind DS, Saver JL, Bui AAT, Arnold CW. Predicting discharge mortality in acute ischemic stroke patients using support vector machines and affinity propagation. MUCMD. 2014.
  6. Singleton KW, Bui AAT, Hsu W. Transfer and transport: Incorporating causal methods for improving predictive models. J Am Med Inform Assoc. 2014;21:e374–5. DOI: 10.1136/amiajnl-2014-002968. PDF
  7. Haas BE, Gonzalez NR, Nikkola E, Connolly M, Hsu W, Bui AAT, Vinuela F, Pajukanta P. Feasibility and preliminary results of whole blood RNA-sequencing analysis in patients with intracranial aneurysms. Stroke. 2014;45.
  8. Garcia-Gathright JI, Meng F, Hsu W. UCLA at TREC 2014 clinical decision support track: Exploring language models, query expansion, and boosting. The Twenty-Third Text REtrieval Conference (TREC 2014). 2014. PDF
  9. Hollada J, Marfori W, Tognolini A, Speier W, Ristow L, Ruehm SG. Successful patient recruitment in CT imaging clinical trials: What factors influence patient participation? Acad Radiol. 2014;21:52–7. DOI: 10.1016/j.acra.2013.09.016. PDF
  10. Malekmohammaki M, Speier W, Pouratian N. Pallidal-Cortical Beta Coherence is Activity-modulated by not Causally related in PD. ASSFN Biennial Meeting. 2014.
  1. Speier W, Knall J, Pouratian N. Unsupervised training of brain-computer interface systems using expectation maximization. Neural Engineering (NER) 2013 6th International IEEE/EMBS Conference. 2013. DOI: 10.1109/NER.2013.6696032. PDF
  2. Abtin F, Sandberg JK, Suh RD, Hsu W, Sayre JW, Cameron RB. Percutaneous cryoablation in management of recurrent mesothelioma after surgical pleurectomy and decortication: Efficacy and predictors of local recurrence. RSNA Annual Meeting. 2013.
  3. Hsu W, Tong M, Taira RK, Bui AAT. Visualizing evidence in biomedical literature: Integration and application of clinical, imaging, and genomic findings reported in research studies. RSNA Annual Meeting. 2013.
  4. Speier W, Fried I, Pouratian N. Improved P300 speller performance using electrocorticography, spectral features, and natural language processing. Clinical Neurophysiology. 2013;124:1321\textendash1328. DOI: 10.1016/j.clinph.2013.02.002. PDF
  5. Lu J, Speier W, Hu X, Pouratian N. The effects of stimulus timing features on P300 speller performance. Clin Neurophysiol. 2013;124:306–14. DOI: 10.1016/j.clinph.2012.08.002. PDF
  6. Han SX, Nasehi L, Abtin F, Hsu W. An observational database on thymoma patients for studying cryoablation outcomes. 4th International Thymic Malignancy Interest Group Annual Meeting. 2013.
  7. Hsu W, Bui AAT. Leveraging domain knowledge to facilitate visual exploration of large population datasets. AMIA Annu Symp Proc. 2013. p. 615–23. PDF
  8. Tong M, Hsu W, Taira RK. A formal representation for numerical data presented in published clinical trial reports. Stud Health Technol Inform. 2013;192:856–60. DOI: 10.3233/978-1-61499-289-9-856. PDF
  9. Hsu W, Markey MK, Wang MD. Biomedical imaging informatics in the era of precision medicine: Progress, challenges, and opportunities. J Am Med Inform Assoc. 2013;20:1010–3. DOI: 10.1136/amiajnl-2013-002315. PDF
  10. Bui AAT, Hsu W, Arnold CW, El-Saden S, Aberle DR, Taira RK. Imaging-based observational databases for clinical problem solving: The role of informatics. J Am Med Inform Assoc. 2013;20:1053–8. DOI: 10.1136/amiajnl-2012-001340. PDF
  11. Speier W, Arnold CW, Pouratian N. Evaluating true BCI communication rate through mutual information and language models. PLoS One. 2013;8:e78432. DOI: 10.1371/journal.pone.0078432. PDF
  1. Wu JA, Hsu W, Bui AAT. Extracting relevant information from clinical records: Towards modeling the evolution of intracranial aneurysms. AMIA Annu Symp Proc. 2012. PDF
  2. Speier W, Fried I, Pouratian N. Improving P300 speller classification using electrocorticography. AANS Annual Scientific Meeting. 2012.
  3. Speier W, Ochs MF. Updating annotations with the distributed annotation system and the automated sequence annotation pipeline. Bioinformatics. 2012;28:2858–9. DOI: 10.1093/bioinformatics/bts530. PDF
  4. Wu JA, Hsu W, Bui AAT. An approach for incorporating context in building probabilistic predictive models. Healthcare Informatics, Imaging and Systems Biology (HISB) 2012 IEEE Second International Conference. San Diego, CA: IEEE; 2012. DOI: 10.1109/HISB.2012.30. PDF
  5. Speier W, Arnold CW, Lu J, Taira RK, Pouratian N. Using natural language processing methods to improve EEG classification in brain-computer interfaces. NLM Informatics Training Conference. 2012.
  6. Hsu W, Speier W, Taira RK. Automated extraction of reported statistical analyses: towards a logical representation of clinical trial literature. AMIA Annu Symp Proc. 2012. p. 350–9. PDF
  7. Arnold CW, Speier W. A topic model of clinical reports. Proc ACM SIGIR Conf Research and Development in Information Retrieval. 2012. p. 1031–1032. PDF
  8. Hsu W, Taira RK, El-Saden S, Kangarloo H, Bui AAT. Context-based electronic health record: toward patient specific healthcare. Information Technology in Biomedicine, IEEE Transactions on. 2012;16:228\textendash234. DOI: 10.1109/TITB.2012.2186149. PDF
  9. Au LK, Bui AAT, Batalin MA, Kaiser WJ. Energy-efficient context classification with dynamic sensor control. IEEE Trans Biomed Circuits Syst. 2012;6:167–78. DOI: 10.1109/TBCAS.2011.2166073. PDF
  10. Singleton KW, Hsu W, Bui AAT. Comparing predictive models of glioblastoma multiforme built using multi-institutional and local data sources. AMIA Annu Symp Proc. 2012. p. 1385–92. PDF
  11. Tong M, Hsu W, Taira RK. A representation for standardizing numerical data from clinical trial reports. RSNA Annual Meeting. Chicago, IL; 2012.
  12. Wu JA, Hsu W, Taira RK, Bui AAT. A population-based temporal visualization for predicting survival for non-small cell lung cancer. RSNA Annual Meeting. Chicago, IL; 2012.
  13. Speier W, Arnold CW, Lu J, Taira RK, Pouratian N. Natural language processing with dynamic classification improves P300 speller accuracy and bit rate. Journal of Neural Engineering. 2012;9:016004. DOI: 10.1088/1741-2560/9/1/016004. PDF
  1. Hsu W, Taira RK, Vinuela F, Bui AAT. A case-based retrieval system using natural language processing and population-based visualization. Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference. San Jose, CA; 2011. DOI: 10.1109/HISB.2011.3. PDF
  2. Speier W, Iglesias JE, El-Kara L, Tu Z, Arnold CW. Robust skull stripping of clinical glioblastoma multiforme data. Med Image Comput Comput Assist Interv. 2011;14:659–66. PDF
  3. Speier W, Arnold CW, Hsu W, Bui AAT. Content-based image retrieval using feature density estimates. AMIA Annu Symp Proc. Washington DC; 2011. PDF
  4. Au LK, Bui AAT, Batalin MA, Xu X, Kaiser WJ. CARER: Efficient dynamic sensing for continuous activity monitoring. Engineering in Medicine and Biology Society (EMBC), 2011 Annual International Conference of the IEEE. 2011. p. 2228–32. DOI: 10.1109/IEMBS.2011.6090422. PDF
  5. Favorov A, Lvovs D, Speier W, Parmigiani G, Ochs M. OnionTree XML: A Format to Exchange Gene-Related probabilities. J Biomol Struct Dyn. 2011;29(2):417–423.
  6. Yan M, Zou Y, Hsu W, Chien A, Vese L, Aberle DR, Bui AAT, Cong J. Accelerating medical image reconstruction and analysis using domain specific computing. RSNA Annual Meeting. Chicago, IL; 2011.
  7. Hsu W, Sayre JW, Bui AAT, Taira RK. Modeling medical imaging and molecular biology correlates from literature. AMIA Annu Symp Proc. Washington DC; 2011. PDF
  1. Tong M, Wu JA, Chae S, Chern A, Speier W, Hsu W, Taira RK. Computer-assisted systematic review and interactive visualization of published literature. RSNA Annual Meeting. 2010.
  2. Au LK, Batalin MA, Jordan B, Xu C, Bui AAT, Dobkin B, Kaiser WJ. Demonstration of WHI-FIT: A Wireless-enabled Cycle Restorator. Wireless Health 2010. New York, NY, USA: ACM; 2010. DOI: 10.1145/1921081.1921106.
  3. Hsu W, Taira RK. Tools for improving the characterization and visualization of changes in neuro-oncology patients. AMIA Annu Symp Proc. 2010;2010:316–20.
  4. Hsu W, Arnold CW, Taira RK. A Neuro-oncology Workstation for Structuring, Modeling, and Visualizing Patient Records. Proceedings of the 1st ACM International Health Informatics Symposium. New York, NY, USA: ACM; 2010. DOI: 10.1145/1882992.1883120.
  5. Bui AAT, Hsu W. Chapter 4: Medical Data Visualization: Toward Integrated Clinical Workstations. Medical Imaging Informatics. 2010;:171\textendash240. DOI: 10.1007/978-1-4419-0385-3_4. PDF
  6. Hsu W, Bui AAT. Disease Models, Part II: Querying & Applications. Medical Imaging Informatics. Springer; 2010. p. 371\textendash401. DOI: 10.1007/978-1-4419-0385-3_9.
  7. Favorov A, Lvovs D, Speier W, Parmigiani G, Ochs M. ONION: an XML format to exchange gene-related probabilities. Information Technologies and Systems. 2010.
  1. Watt E, Hsu W, Bui AAT. Visualizing the evolution of clinical features in cancer: Mapping trends to disease outcome for prediction. Radiological Sciences of North America (RSNA). 2009;
  2. Hsu W, Bui AAT, Taira RK, Kangarloo H. Integrating imaging and clinical data for decision support. Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications. 2009. p. 18\textendash33. DOI: 10.4018/978-1-60566-314-2.ch002.
  3. Wong Y-N, Meropol N, Speier W, Sargeant D, Goldberg R, Beck JR. Cost Implications of New Treatments for Advanced Colorectal Cancer. Cancer. 2009;115(10):2081–2091.
  4. Hsu W, Antani S, Long RL, Neve L, Thoma GR. SPIRS: A Web-based image retrieval system for large biomedical databases. Int J Med Inform. 2009;78 Suppl 1:S13–24. DOI: 10.1016/j.ijmedinf.2008.09.006.
  5. Au LK, Batalin MA, Stathopoulos T, Bui AAT, Kaiser WJ. Episodic sampling: Towards energy-efficient patient monitoring with wearable sensors. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6901–5. DOI: 10.1109/IEMBS.2009.5333615.
  6. Bashyam V, Hsu W, Watt E, Bui AAT, Kangarloo H, Taira RK. Problem-centric organization and visualization of patient imaging and clinical data. Radiographics. 2009;29:331–43. DOI: 10.1148/rg.292085098.
  7. Suh M-kyung, Rofouei M, Nahapetian A, Kaiser WJ, Sarrafzadeh M. Optimizing interval training protocols using data mining decision trees. Wearable and Implantable Body Sensor Networks, 2009 BSN 2009 Sixth International Workshop on. IEEE; 2009. PDF
  1. Wu WH, Au LK, Jordan B, Stathopoulos T, Batalin MA, Kaiser WJ, Vahdatpour A, Sarrafzadeh M, Fang M, Chodosh J. The SmartCane System: An Assistive Device for Geriatrics. Proceedings of the ICST 3rd International Conference on Body Area Networks. ICST, Brussels, Belgium, Belgium: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2008.
  2. Taira RK, Bui AAT, Hsu W, Bashyam V, Dube S, Watt E, Andrada LP, El-Saden S, Cloughesy TF, Kangarloo H. A tool for improving the longitudinal imaging characterization for neuro-oncology cases. AMIA Annu Symp Proc. 2008. p. 712–6.
  3. Wu WH, Bui AAT, Batalin MA, Au LK, Binney JD, Kaiser WJ. MEDIC: Medical embedded device for individualized care. Artif Intell Med. 2008;42:137–52. DOI: 10.1016/j.artmed.2007.11.006.
  4. Au LK, Wu WH, Batalin MA, Kaiser WJ. Active guidance towards proper cane usage. Medical Devices and Biosensors, 2008 ISSS-MDBS 2008 5th International Summer School and Symposium on. IEEE; 2008.
  5. Au LK, Wu WH, Batalin MA, Stathopoulos T, Kaiser WJ, others. Demonstration of active guidance with SmartCane. Information Processing in Sensor Networks, 2008 IPSN\textquoteright08 International Conference on. IEEE; 2008.
  1. Wu WH, Bui AAT, Batalin MA, Liu D, Kaiser WJ. Incremental diagnosis method for intelligent wearable sensor systems. IEEE Trans Inf Technol Biomed. 2007;11:553–62.
  2. Wu WH, Batalin MA, Bui AAT, Sarrafzadeh M, Kaiser WJ. A Novel Method and Testbed for Sensor Management and Patient Diagnosis. Proc Joint Workshop On High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability (HCMDSS/MD PnP\textquoteright07). Boston, MA: IEEE; 2007.
  3. Wu WH, Batalin MA, Au LK, Bui AAT, Kaiser WJ. Context-aware sensing of physiological signals. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5271–5. DOI: 10.1109/IEMBS.2007.4353531.
  4. Hsu W, Aberle DR, El-Saden S, Kangarloo H, Bui AAT. A visual query application for interacting with a probabilistic model of tumor image features. RSNA. Chicago, IL, 2007.
  1. Hsu W, Bui AAT. A framework for visually querying a probabilistic model of tumor image features. AMIA Annu Symp Proc. 2006;2006:354–8.
  2. Hsu W, Dordoni A, El-Saden S, Bui AAT. A visual query interface for assisting in decision support of tumors using image findings structured by Bayesian networks. Proc ARRS. Vancouver, Canada; 2006. p. A31.