Publications

2017
  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. 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
2016
  1. Ho KC, Scalzo F, Sarma KV, El-Saden S, Arnold CW. A Temporal Deep Learning Approach for MR Perfusion Parameter Estimation in Stroke. 23rd International Conference on Pattern Recognition. Cancun; 2016.
  2. 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.
  3. 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.
  4. 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.
  5. Tong M, Hsu W, Taira RK. A visualization for clinical trial reports: A usability study. AMIA Annu Symp Proc. Chicago, IL; 2016.
  6. Ho KC, Scalzo F, Sarma KV, El-Saden S, Bui AAT, Arnold CW. A Novel Bi-Input Convolutional Neural Network for Deconvolution-Free Estimation of Stroke MR Perfusion Parameters. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
  7. Sarma KV, Zhong X, Ho KC, Margolis DJA, Raman S, Scalzo F, Sung KH, Tan N, Arnold C. An Investigational Patch-based Convolutional Neural Network Model for the Detection of Clinically Significant Prostate Cancer using Multiparametric MRI. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
  8. 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.
  9. Sarma KV, Zhong X, Ho KC, Margolis DJA, Raman S, Scalzo F, Sung KH, Tan N, Arnold CW. Development of a Deep Learning Model for the Detection of Prostate Cancer using MRI. Gordon Research Conference in Advanced Health Informatics. Hong Kong; 2016.
  10. Garcia-Gathright JI, Matiasz NJ, Garon EB, Aberle D, Taira RK, Bui AAT. Toward patient-tailored summarization of lung cancer literature. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2016. p. 449–452. DOI: 10.1109/BHI.2016.7455931.
  11. Ho KC, El-Saden S, Scalzo F, Bui AAT, Arnold CW. Abstract WP41: Predicting Acute Ischemic Stroke Tissue Fate Using Deep Learning on Source Perfusion MRI. Stroke. 2016;47.
  12. Petousis P, Han SX, Aberle D, Bui AAT. Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network . Artificial Intelligence in Medicine [Internet]. 2016;72:42–55. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0933365716301063 DOI: http://dx.doi.org/10.1016/j.artmed.2016.07.001. PDF
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
2015
  1. Arnold CW, Wallace DW, Chen S, Oh A, Abtin F, Genshaft SJ, Binder S, Aberle DR, Enzmann DR. RadPath: A Web-based system for integrating and correlating radiology and pathology findings during cancer diagnosis. Acad Radiol. 2015;In press. DOI: 10.1016/j.acra.2015.09.009. PDF
  2. Meng F, Morioka CA. Automating the generation of lexical patterns for processing free text in clinical documents. J Am Med Inform Assoc. 2015;22:980–6. DOI: 10.1093/jamia/ocv012. PDF
  3. 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.
  4. 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.
  5. 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.
  6. 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
  7. 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
  8. McNamara M, Arnold CW, Sarma K, Aberle DR, Garon EB, Bui AAT. Patient portal preferences: Perspectives on imaging information. J Assoc Inf Sci Technol. 2015;66:1606–15. DOI: 10.1002/asi.23269. PDF
  9. 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
  10. 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
  11. 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
  12. Oh A, Arnold CW, Vangala S, Wallace DW, Genshaft SJ, Sarma K, Aberle DR. Imaging-histologic discordance at percutaneous biopsy of the lung. Acad Radiol. 2015;22:481–7. DOI: 10.1016/j.acra.2014.11.009. PDF
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
2014
  1. 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
  2. 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
  3. 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
  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 after acute ischemic stroke using balanced data. AMIA Annu Symp Proc. 2014. p. 1787–96. PDF
  6. 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
  7. 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
  8. McNamara M, Sarma K, Aberle DR, Bui AAT, Arnold CW. Data model for personalized patient health guidelines: An exploratory study. AMIA Annu Symp Proc. 2014. p. 1835–44. PDF
  9. Tong M, McNamara M. A patient portal for clinical trials: Towards increasing patient enrollment. AMIA Annu Symp Proc. 2014. PDF
  10. 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.
  11. 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.
2013
  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. 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
  3. 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
  4. Taira RK, Arnold CW. Hierarchical semantic structures for medical NLP. Stud Health Technol Inform. 2013;192:1194. PDF
  5. 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
  6. 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
  7. 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
  8. Love A, Arnold CW, El-Saden S, Liebeskind DS, Andrada LP, Saver JL, Bui AAT. Unifying acute stroke treatment guidelines for a Bayesian belief network. Stud Health Technol Inform. 2013;192:1012. PDF
  9. 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
  10. 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.
  11. Garcia-Gathright JI, Arnold CW, Bui AAT. Automatic extraction of patient characteristics from clinical reports. RSNA Annual Meeting. Chicago, IL; 2013.
  12. 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.
  13. Arnold CW, Wallace DW, Abtin F, Ellingson BM, Bui AAT, Binder S, Aberle DR, Enzmann DR. RadPath: An electronic platform for integrating radiology and pathology findings during cancer diagnosis. RSNA Annual Meeting. 2013.
  14. Hsu W, Bui AAT. Leveraging domain knowledge to facilitate visual exploration of large population datasets. AMIA Annu Symp Proc. 2013. p. 615–23. PDF
  15. Arnold CW, McNamara M, El-Saden S, Chen S, Taira RK, Bui AAT. Imaging informatics for consumer health: Towards a radiology patient portal. J Am Med Inform Assoc. 2013;20:1028–36. DOI: 10.1136/amiajnl-2012-001457. PDF
  16. 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.
  17. McNamara M, Arnold CW, Sarma K, Aberle DR, Bui AAT. Patient portal for NSCLC with supporting health information. RSNA Annual Meeting. Chicago, IL; 2013.
  18. Chen S, Arnold CW. Integrating UIMA annotators in a web-based text processing framework. Stud Health Technol Inform. 2013;192:1191. PDF
  19. Arnold CW, Nguyen T, Janzen C. BabySTEPS: A sugar tracking electronic portal system for gestational diabetes. Stud Health Technol Inform. 2013;192:1123. PDF
2012
  1. 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.
  2. Tong M, Hsu W, Taira RK. A representation for standardizing numerical data from clinical trial reports. RSNA Annual Meeting. Chicago, IL; 2012.
  3. Burns B, Furuyama JK, Wilson N, DeBruhl N, Thomas AM. Maximum entropy based reconstruction of echo-planar correlated spectroscopic imaging of human breast in vivo. Intl Soc Magnetic Resonance in Medicine (ISMRM). Melbourne, Australia: Intl Soc Magnetic Resonance in Medicine (ISMRM); 2012. PDF
  4. 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
  5. 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
  6. 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
  7. 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
  8. Tong M, Taira RK. Improving the accuracy of therapy descriptions in clinical trials using a bottom-up approach. AMIA Annu Symp Proc. 2012. p. 1393–402. PDF
  9. 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
  10. McNamara M, Arnold CW, Chen S, El-Saden S, Taira RK, Bui AAT. Patient portal for neuro-radiology with consumer oriented terminology. National Library of Medicine Informatics Fellowship Conference. 2012.
  11. Bui AAT, Cheng KT, Cong J, Vese L, Wang Y-C, Yuan B, Zou Y. Platform characterization for domain-specific computing. Design Automation Conference (ASP-DAC), 2012 17th Asia and South Pacific. Sydney, NSW: IEEE; 2012. DOI: 10.1109/ASPDAC.2012.6165071. PDF
  12. 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
  13. Iglesias JE, Thompson P, Liu C-Y, Tu Z. Fast approximate stochastic tractography. Neuroinformatics. 2012;10:5\textendash17. DOI: 10.1007/s12021-011-9113-2. PDF
  14. Suh M-kyung, Moin T, Woodbridge J, Lan M, Ghasemzadeh H, Bui AAT, Ahmadi S, Sarrafzadeh M. Dynamic self-adaptive remote health monitoring system for diabetics. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. San Diego, CA: IEEE; 2012. DOI: 10.1109/EMBC.2012.6346404. PDF
  15. Suh M-kyung, Nahapetian A, Woodbridge J, Rofouei M, Sarrafzadeh M. Machine learning-based adaptive wireless interval training guidance system. Mobile Networks and Applications. 2012;17:163\textendash177. DOI: 10.1007/s11036-011-0331-5. PDF
  16. Woodbridge J, Mortazavi B, Sarrafzadeh M, Bui AAT. A Monte Carlo approach to biomedicai time series search. Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on. Philadelphia, PA: IEEE; 2012. DOI: 10.1109/BIBM.2012.6392646. PDF
  17. Woodbridge J, Mortazavi B, Bui AAT, Sarrafzadeh M. High performance biomedical time series indexes using salient segmentation. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. San Diego, CA: IEEE; 2012. DOI: 10.1109/EMBC.2012.6347137. PDF
  18. 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.
  19. 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
  20. 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
  21. 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
2011
  1. Meng F, Morioka CA, El-Saden S. Determining word sequence variation patterns in clinical documents using multiple sequence alignment. AMIA Annu Symp Proc. 2011. p. 934–43. PDF
  2. 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
  3. Jahanshad N, McMahon KL, Zubicaray GI de, Medland SE, Montgomery GW, Martin NG, Wright MJ, Toga AW, Thompson P. Blood-iron independent genetic associations of brain structure to serum transferrin levels: a bivariate MRI and DTI analysis of 615 twins and siblings. Organization for Human Brain Mapping. 2011. PDF
  4. Jahanshad N, McMahon KL, Zubicaray GI de, Martin NG, Wright MJ, Toga AW, Thompson P. Heritability and reliability of the human connectome mapped using 4-Tesla high angular resolution diffusion imaging (HARDI) in 156 young adult twins. Organization for Human Brain Mapping. 2011; PDF
  5. Chen J, Yan M, Vese L, Villasenor J, Bui AAT, Cong J. EM+ TV for reconstruction of cone-beam CT with curved detectors using GPU. International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. 2011. PDF
  6. Suh M-kyung, Woodbridge J, Lan M, Bui AAT, Evangelista LS, Sarrafzadeh M. Missing data imputation for remote CHF patient monitoring systems. Engineering in Medicine and Biology Society (EMBC), 2011 Annual International Conference of the IEEE. Boston, MA; 2011. DOI: 10.1109/IEMBS.2011.6090867. PDF
  7. 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
  8. Jahanshad N, Aganj I, Lenglet C, Jin Y, Joshi A, Barysheva M, McMahon KL, Zubicaray GI de, Martin NG, Wright MJ. High angular resolution diffusion imaging (HARDI) tractography in 234 young adults reveals greater frontal lobe connectivity in women. IEEE 8th International Symposium on Biomedical Imaging. 2011.
  9. Woodbridge J, Lan M, Sarrafzadeh M, Bui AAT. Salient segmentation of medical time series signals. Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference. 2011. DOI: 10.1109/HISB.2011.41. PDF
  10. Arnold CW, Bui AAT, El-Saden S, Aberle DR, Taira RK. Image and report indexing through automated topic discovery. RSNA Annual Meeting. 2011.
  11. Speier W, Arnold CW, Hsu W, Bui AAT. Content-based image retrieval using feature density estimates. AMIA Annu Symp Proc. Washington DC; 2011. PDF
  12. 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
  13. Suh M-kyung, Chen CA, Woodbridge J, Tu MK, Kim JI, Nahapetian A, Evangelista LS, Sarrafzadeh M. A remote patient monitoring system for congestive heart failure. J Med Syst. 2011;35:1165–79. DOI: 10.1007/s10916-011-9733-y. PDF
  14. Singleton KW, Lan M, Arnold CW, Vahidi M, Arangua L, Gelberg L, Bui AAT. Wireless data collection of self-administered surveys using tablet computers. AMIA Annu Symp Proc. 2011. p. 1261–9. PDF
  15. Cong J, Sarkar V, Reinman G, Bui AAT. Customizable domain-specific computing. IEEE Design & Test of Computers. 2011;28:6–15. DOI: 10.1109/MDT.2010.141. PDF
  16. Prasad G, Jahanshad N, Aganj I, Lenglet C, Sapiro G, Toga AW, Thompson P. Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography. Symp Biomed Imaging 2011 IEEE International Conference. 2011. p. 276–280. DOI: 10.1109/ISBI.2011.5872405. PDF
  17. Moazeni M, Bui AAT, Sarrafzadeh M. Dynamic programming on data-parallel many-core architectures. Symp Application Accelerators in High Performance Computing (SAAHPC). Knoxville, Tennessee; 2011.
  18. Watt E, Sayre JW, Bui AAT. Applying an instance-specific model to longitudinal clinical data for prediction. Healthcare Informatics, Imaging and Systems Biology (HISB) 2011 IEEE First International Conference. 2011. DOI: 10.1109/hisb.2011.12. PDF
  19. Iglesias JE, Liu C-Y, Thompson P, Tu Z. Robust brain extraction across datasets and comparison with publicly available methods. IEEE Trans Med Imaging. 2011;30:1617–34. DOI: 10.1109/TMI.2011.2138152. PDF
  20. Iglesias JE, Jiang J, Liu C-Y, Tu Z. Classification of Alzheimer\textquoterights disease using a self-smoothing operator. Med Image Comput Comput Assist Interv. 2011;14:58–65.
  21. 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
  22. 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.
  23. Arnold CW, Chen X, McNamara M, El-Saden S, Taira RK. A web-based patient radiology portal for result presentation and education. RSNA Annual Meeting. Chicago, IL; 2011.
  24. Iglesias JE, Konukoglu E, Montillo A, Tu Z, Criminisi A. Combining generative and discriminative models for semantic segmentation of CT scans via active learning. Inf Process Med Imaging. 2011;22:25–36.
2010
  1. Iglesias JE, Thompson P, Liu C-Y, Tu Z. Discretizing stochastic tractography: A fast implementation. Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on. 2010. DOI: 10.1109/ISBI.2010.5490255.
  2. Bui AAT, Morioka CA. Information Systems & Architectures. Medical Imaging Informatics. Springer; 2010. p. 93\textendash137.
  3. Arnold CW, El-Saden S, Bui AAT, Taira RK. Clinical case-based retrieval using latent topic analysis. AMIA Annu Symp Proc. 2010;2010:26–30.
  4. 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.
  5. Iglesias JE, Dinov I, Singh J, Tong G, Tu Z. Synthetic MRI signal standardization: application to multi-atlas analysis. Med Image Comput Comput Assist Interv. 2010;13:81–8.
  6. Iglesias JE, Liu C-Y, Thompson P, Tu Z. Agreement-based semi-supervised learning for skull stripping. Med Image Comput Comput Assist Interv. 2010;13:147–54.
  7. 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.
  8. 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.
  9. Jahanshad N, Lee AD, Barysheva M, McMahon KL, Zubicaray GI de, Martin NG, Wright MJ, Toga AW, Thompson P. Genetic influences on brain asymmetry: A DTI study of 374 twins and siblings. NeuroImage. 2010;52:455–469. DOI: 10.1016/j.neuroimage.2010.04.236.
  10. Suh M-kyung, Evangelista LS, Chen CA, Han K, Kang J, Tu MK, Chen V, Nahapetian A, Sarrafzadeh M. An automated vital sign monitoring system for congestive heart failure patients. Proceedings of the ACM international conference on Health informatics - IHI\textquoteright10. Association for Computing Machinery (ACM); 2010. DOI: 10.1145/1882992.1883010.
  11. Suh M-kyung, Evangelista LS, Chen V, Hong WS, Macbeth J, Nahapetian A, Figueras FJ, Sarrafzadeh M. WANDA B.: Weight and activity with blood pressure monitoring system for heart failure patients. 2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). Institute of Electrical & Electronics Engineers (IEEE); 2010. DOI: 10.1109/wowmom.2010.5534983.
  12. Woodbridge J, Bui AAT, Sarrafzadeh M. Linear frequency estimation technique for reducing frequency based signals. Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA\textquoteright10. Association for Computing Machinery (ACM); 2010. DOI: 10.1145/1839294.1839359.
  13. 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.
  14. Jahanshad N, Zhan L, Bernstein M, Borowski BJ, Jack Jr CR, Toga AW, Thompson P, others. Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution. Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on. IEEE; 2010. PDF
  15. Shpitser I. Disease models, part I: Graphical models. Medical Imaging Informatics. Springer; 2010. p. 335\textendash369. PDF
  16. 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
  17. 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.
  18. Aberle DR, El-Saden S, Abbona P, Gomez A, Motamedi K, Ragavendra N, Bassett L, Seeger L, Brown M, Brown K, others. A primer on imaging anatomy and physiology. Medical Imaging Informatics. Springer; 2010. p. 15\textendash90.
  19. Bui AAT, Taira RK, Kangarloo H. Introduction. Medical Imaging Informatics. Springer; 2010. p. 3\textendash13.
  20. Bui AAT, Taira RK. Organizing Observations: Data Models. Medical Imaging Informatics. Springer; 2010. p. 299\textendash331.
  21. Jahanshad N, Stein JL, McMahon KL, Zubicaray GI de, Wright MJ, Hickie I, Toga AW, Thompson P. White Matter Development and Asymmetry Mapped using DTI in 12-21 Year Old Twins. Organization for Human Brain Mapping. 2010;
  22. Jahanshad N, Stein JL, Thomason ME, McMahon KL, Zubicaray GI de, Martin NG, Wright MJ, Toga AW, Thompson P. Boosting power to detect genes that influence fiber tracts. Proc Organization for Human Brain Mapping. 2010.
  23. Taira RK, Iglesias JE, Jahanshad N. Characterizing Imaging Data. Medical Imaging Informatics. Springer; 2010. p. 197\textendash255.
  24. Taira RK. Natural Language Processing of Medical Reports. Medical Imaging Informatics. Springer; 2010. p. 257\textendash298.
  25. Watt E, Arnold CW, Sayre JW. Evaluation. Medical Imaging Informatics. Springer; 2010. p. 403\textendash438.
  26. Suh M-kyung, Lee KJ, Heu A, Nahapetian A, Sarrafzadeh M. Bayesian networks-based interval training guidance system for cancer rehabilitation. Mobile Computing, Applications, and Services. Springer; 2010. p. 236\textendash253.
2009
  1. 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.
  2. Iglesias JE, Karssemeijer N. Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases. IEEE Trans Med Imaging. 2009;28:1815–24. DOI: 10.1109/TMI.2009.2025036.
  3. Iglesias JE, Rocks K, Jahanshad N, Frias-Martinez E, Andrada LP, Bui AAT. Tracking medication information across medical records. AMIA Annu Symp Proc. 2009;2009:266–70.
  4. 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.
  5. Arnold CW, Davis M, Knoop S, Gruhl D. A scalable architecture for medical report driven information retrieval. Proc AMIA Annu Symp. 2009.
  6. Jahanshad N, Shikuma CM, Kallianpur K, Nakamoto B, Valcour VG, Thompson P, Francisco CA. Impact of cerebrovascular risk factors on brain function and structure in HIV-infected individuals. Antivir Ther. 2009.
  7. 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;
  8. Suh M-kyung, Lee KJ, Nahapetian A, Sarrafzadeh M. Interval training guidance system with music and wireless group exercise motivations. Industrial Embedded Systems, 2009 SIES\textquoteright09 IEEE International Symposium on. IEEE; 2009. PDF
  9. Singleton KW, Garcia-Gathright JI, Burns B, Rocks K, Iglesias JE, Bui AAT. Semi-automated medical text and image selection for multimedia presentation at tumor board reviews. Radiological Society of North America. Chicago, United Stats of America: Radiological Society of North America; 2009.
  10. 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.
  11. Jahanshad N, Lee AD, Leporé N, Chou Y-Y, Brun CC, Barysheva M, Toga AW, McMahon KL, Zubicaray GI de, Wright MJ, others. Genetics of anisotropy asymmetry: registration and sample size effects. Medical Image Computing and Computer-Assisted Intervention\textendashMICCAI 2009. Springer; 2009. p. 498\textendash505. PDF
  12. Jahanshad N, Lee AD, Leporé N, Chou Y-Y, Brun CC, Barysheva M, Toga AW, McMahon KL, Zubicaray GI de, Wright MJ, others. Reducing structural variation to determine the genetics of white matter integrity across hemispheres-A DTI study of 100 twins. Biomedical Imaging: From Nano to Macro, 2009 ISBI\textquoteright09 IEEE International Symposium on. IEEE; 2009. PDF
  13. Moazeni M, Bui AAT, Sarrafzadeh M. Accelerating total variation regularization for matrix-valued images on GPUs. Proceedings of the 6th ACM conference on Computing frontiers. ACM; 2009. PDF
  14. Iglesias JE, Thompson P, Tu Z. A spatially variant mixture model for diffusion weighted MRI- application to image denoising. MICCAI Workshop on Probabilistic Models for Medical Image Analysis. Citeseer; 2009.
  15. Bashyam V, Taira RK. Incorporating Syntactic Dependency Information Towards Improved Coding of Lengthy Medical Concepts in Clinical Reports. Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics; 2009.
  16. Moazeni M, Bui AAT, Sarrafzadeh M. A memory optimization technique for software-managed scratchpad memory in GPUs. Application Specific Processors, 2009 SASP\textquoteright09 IEEE 7th Symposium on. IEEE; 2009. PDF
  17. 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
  18. 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.
2008
  1. 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.
  2. D\textquoterightAvolio L, Litwin MS, Rogers SO, Bui AAT. Facilitating clinical outcomes assessment through the automated identification of quality measures for prostate cancer surgery. J Am Med Inform Assoc. 2008;15:341–8. DOI: 10.1197/jamia.M2649.
  3. Tameem HZ, Dube S, Sinha U. Content based image retrieval applied to contrast enhancing brain tumors. Proc SPIE Medical Imaging: PACS and Imaging Informatics. San Diego, CA: SPIE; 2008.
  4. D\textquoterightAvolio L, Bui AAT. The Clinical Outcomes Assessment Toolkit: A framework to support automated clinical records-based outcomes assessment and performance measurement research. J Am Med Inform Assoc. 2008;15:333–40. DOI: 10.1197/jamia.M2550.
  5. Morioka CA, El-Saden S, Pope W, Sayre JW, Duckwiler G, Meng F, Bui AAT, Kangarloo H. A methodology to integrate clinical data for the efficient assessment of brain-tumor patients. Inform Health Soc Care. 2008;33:55–68. DOI: 10.1080/17538150801956762.
  6. Dube S, Corso JJ, Yuille AL, Cloughesy TF, El-Saden S, Sinha U. Hierarchical segmentation of malignant gliomas via integrated contextual filter response. 2008. DOI: 10.1117/12.770769. PDF
  7. Watt E, Bui AAT. Evaluation of a dynamic bayesian belief network to predict osteoarthritic knee pain using data from the osteoarthritis initiative. AMIA Annu Symp Proc. 2008;2008:788–92.
  8. 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.
  9. Son RY, Taira RK, Kangarloo H, Cardenas AF. Context-sensitive correlation of implicitly related data: An episode creation methodology. IEEE Trans Inf Technol Biomed. 2008;12:549–60. DOI: 10.1109/TITB.2008.917901.
  10. 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.
  11. 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.
  12. 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.
  13. Corso JJ, Sharon E, Dube S, El-Saden S, Sinha U, Yuille AL. Efficient multilevel brain tumor segmentation with integrated bayesian model classification. IEEE Transactions on Medical Imaging. 2008. p. 629\textendash640. DOI: 10.1109/TMI.2007.912817. PDF
2007
  1. Tameem HZ, Sinha U. Trabecular Bone Analysis: Correlation of 3D Structural Features with 3D Texture Analysis. Proc Joint Annual Meeting International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology. Berlin, Germany: International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology; 2007.
  2. Bashyam V, Taira RK. Identifying Anatomical Phrases in Clinical Reports by Shallow Semantic Parsing Methods. Computational Intelligence and Data Mining, 2007 CIDM 2007 IEEE Symposium on. IEEE; 2007.
  3. Tameem HZ, Morioka CA, Bennett D, El-Saden S, Sinha U, Taira RK, Bui AAT, Kangarloo H. Development of an indexed integrated neuroradiology reports for teaching file creation. Proceedings of SPIE. San Diego, CA: SPIE Medical Imaging; 2007.
  4. 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.
  5. Krupinski EA, Kallergi M. Choosing a Radiology Workstation: Technical and Clinical Considerations 1. Radiology. 2007;242:671\textendash682. DOI: 10.1148/radiol.2423051403.
  6. D\textquoterightAvolio L, Litwin MS, Rogers SO, Bui AAT. Automatic identification and classification of surgical margin status from pathology reports following prostate cancer surgery. AMIA Annu Symp Proc. 2007. p. 160–4.
  7. Shpitser I, Pearl J. What Counterfactuals Can Be Tested. Uncertainty in Artificial Intelligence. Vancouver, Canada; 2007.
  8. 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.
  9. Ardekani S, Kumar A, Bartzokis G, Sinha U. Exploratory voxel-based analysis of diffusion indices and hemispheric asymmetry in normal aging. Magn Reson Imaging. 2007;25:154–67. DOI: 10.1016/j.mri.2006.09.045.
  10. Arnold CW, Corso JJ, Bui AAT. An unsupervised approach to automatic image annotation. NSF Biomedical Informatics Workshop: Expanding Secondary Use of Health Data. Portland, OR; 2007.
  11. Bashyam V, Divita G, Browne A. Extracting biomedical entities from free text to facilitate secondary use of clinical reports. NSF Biomedical Informatics Workshop: Expanding Secondary Use of Health Data. Corbett, OR; 2007.
  12. Tameem HZ, Selva LE, Sinha U. Texture measure from low resolution MR images to determine trabecular bone integrity in osteoporosis. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2027–30. DOI: 10.1109/IEMBS.2007.4352717.
  13. Tameem HZ, Sinha U. MR atlas for articular cartilage morphology: Potential to detect shape differences. Stud Health Technol Inform. 2007;129:1329–33.
  14. Tameem HZ, Selva LE, Sinha U. Morphological atlases of knee cartilage: Shape indices to analyze cartilage degradation in osteoarthritic and non-osteoarthritic population. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:1310–3. DOI: 10.1109/IEMBS.2007.4352538.
  15. Taira RK, Bashyam V, Kangarloo H. A field theoretical approach to medical natural language processing. IEEE Trans Inf Technol Biomed. 2007;11:364–75. DOI: 10.1109/TITB.2006.884368. PDF
  16. Bashyam V, Divita G, Bennett D, Browne A, Taira RK. A normalized lexical lookup approach to identifying UMLS concepts in free text. Stud Health Technol Inform. 2007;129:545–9.
  17. Bui AAT, Morioka CA, Dionisio J, Johnson D, Sinha U, Ardekani S, Taira RK, Aberle DR, El-Saden S, Kangarloo H. OpenSourcePACS: An extensible infrastructure for medical image management. IEEE Trans Inf Technol Biomed. 2007;11:94–109.
  18. Arnold CW, Bui AAT, Morioka CA, El-Saden S, Kangarloo H. Informatics in radiology: A prototype Web-based reporting system for onsite-offsite clinician communication. Radiographics. 2007;27:1201–11. DOI: 10.1148/rg.274065124.
  19. Bui AAT, Aberle DR, Kangarloo H. TimeLine: Visualizing integrated patient records. IEEE Trans Inf Technol Biomed. 2007;11:462–73.
  20. Morioka CA, Dionisio J, Bui AAT, El-Saden S, Kangarloo H. StructConsult: Structured real-time wet read consultation infrastructure to support patient care. Stud Health Technol Inform. 2007;129:429–33.
  21. 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.
  22. 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.
  23. Dube S, El-Saden S, Cloughesy TF, Sinha U. Content-based Image Retrieval of Glioblastoma Multiforme. Medinfo 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics. 2007. DOI: 2006;1:3337-40.
  24. Dube S, Corso JJ, Cloughesy TF, El-Saden S, Yuille AL, Sinha U. Automated MR image processing and analysis of malignant brain tumors: enabling technology for data mining. Data Mining, Systems Analysis, and Optimization in Biomedicine(AIP Conference Proceedings Volume 953). 2007. DOI: 10.1063/1.2817354.
  25. Christiansen O, Lee T-M, Lie J, Sinha U, Chan TF. Total variation regularization of matrix-valued images. International journal of biomedical imaging. 2007;2007. DOI: 10.1155/2007/27432.
  26. Bashyam V, Morioka CA, El-Saden S, Bui AAT, Taira RK. Identifying relevant medical reports from an assorted report collection using the naı̈ve Bayes classifier and the UMLS. Indian Journal of Medical Informatics. 2007;2.
  27. Dube S, Cloughesy TF, Sayre JW, Sinha U. Multivariate linear modeling of quantitative MR features for prognosis in patients with glioblastoma multiforme. Proc Joint Annual Meeting International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology. Berlin, Germany: International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology; 2007.
  28. Tameem HZ, Ardekani S, Sinha U. MR bone atlases for shape characterization. Proc Joint Annual Meeting International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology. Berlin, Germany: International Society of Magnetic Resonance Imaging-European Society of Magnetic Resonance Imaging in Biology; 2007.
Older
  1. Dube S, El-Saden S, Cloughesy TF, Sinha U. Content based image retrieval for MR image studies of brain tumors. Conf Proc IEEE Eng Med Biol Soc. 2006;1:3337–40. DOI: 10.1109/IEMBS.2006.260262.
  2. Sinha S, Sinha U, Edgerton VR. In vivo diffusion tensor imaging of the human calf muscle. J Magn Reson Imaging. 2006;24:182–90. DOI: 10.1002/jmri.20593.
  3. Lee TM, Sinha U. Denoising diffusion tensor images: preprocessing for automated detection of subtle diffusion tensor abnormalities between populations. Proc SPIE Medical Imaging. 2006. DOI: 10.1117/12.654264.
  4. 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.
  5. D\textquoterightAvolio L, Rees G, Boyadzhyan L. Improving the secondary utilization of clinical data by incorporating context. Proc ASIST pre-conference symposia. Austin; 2006.
  6. Corso JJ, Sharon E, Yuille AL. Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation. Medical Image Computing and Computer-Assisted Intervention. 2006.
  7. Grinstead J, Sinha U, Sinha S. Application of a wavelet packet denoising algorithm to diffusion tensor imaging. Journal of Magnetic Resonance Imaging. 2006;24:182\textendash190.
  8. Ardekani S, Sinha U. Statistical representation of mean diffusivity and fractional anisotropy brain maps of normal subjects. J Magn Reson Imaging. 2006;24:1243–51. DOI: 10.1002/jmri.20745.
  9. Ardekani S, Selva LE, Sayre JW, Sinha U. Quantitative metrics for evaluating parallel acquisition techniques in diffusion tensor imaging at 3 Tesla. Invest Radiol. 2006;41:806–14. DOI: 10.1097/01.rli.0000242859.75922.be.
  10. Hsu W, Bui AAT. A framework for visually querying a probabilistic model of tumor image features. AMIA Annu Symp Proc. 2006;2006:354–8.
  11. Meng F, D\textquoterightAvolio L, Chen AA, Taira RK, Kangarloo H. Generating models of surgical procedures using UMLS concepts and multiple sequence alignment. AMIA Annu Symp Proc. 2005. p. 520–4.
  12. Morioka CA, El-Saden S, Pope W, Duckwiler G, Bui AAT, Kangarloo H. Integration of HIS/RIS clinical document with PACS image studies for neuroradiology. The International Society for Optical Engineering (SPIE) International Symposium on Medical Imaging. 2005. DOI: doi:10.1117/12.595920.
  13. Meng F, Taira RK, Bui AAT, Kangarloo H, Churchill BM. Automatic generation of repeated patient information for tailoring clinical notes. Int J Med Inform. 2005;74:663–73. DOI: 10.1016/j.ijmedinf.2005.03.008.
  14. Cho PS, Taira RK, Kangarloo H. Syntactic parsing of medical reports using evolutionary optimization. AMIA Annu Symp Proc. 2005. p. 920.
  15. Bashyam V, Taira RK. A study of lexical behaviour of sentences in chest radiology reports. AMIA Annu Symp Proc. 2005. p. 891.
  16. Bashyam V, Taira RK. Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005AA. AMIA Annu Symp Proc. 2005. p. 26–30.
  17. Ardekani S, Sinha U. Geometric distortion correction of high-resolution 3 T diffusion tensor brain images. Magn Reson Med. 2005;54:1163–71. DOI: 10.1002/mrm.20651.
  18. Bui AAT, Morioka CA, Dionisio J. openPACS: An open-source PACS for evidence-based medical practice, research, and education. Radiological Society of North America. Chicago, IL: RSNA; 2005.
  19. Chen AA, Meng F, Morioka CA, Churchill BM, Kangarloo H. Automated generation of individually customized visualizations of diagnosis-specific medical information using novel techniques of information extraction. Proc The International Society for Optical Engineering (SPIE) International Symposium on Medical Imaging. San Diego, CA, USA: The International Society for Optical Engineering; 2005. p. 50. DOI: 10.1117/12.596149.
  20. Shah SK, Kleerup EC, Arroyo LL, Lindberg DC, Wakeman KS, Bui AAT. A structured radiologic, pathologic, and clinical teaching file for thoracic diseases. Radiological Society of North America. McCormick Place, Chicago; 2005.
  21. Chen AA, Meng F, Son RY, Taira RK, Churchill BM, Kangarloo H. Framework for the automated validation of nomograms for the prediction of cancer outcomes. Proc IEEE METMBS Conference. Las Vegas; 2004.
  22. Yu NC, Choi JW, Morioka CA, Lu DSK, Kim YJ, Raman SS, Bui AAT. Hepatocellular Carcinoma TimeLine: A visualization paradigm for the follow-up of the effect of minimally invasive therapy. Radiological Society of North America. McCormick Place, Chicago; 2004.
  23. Morioka CA, Sarnoski J, Taira RK, Bui AAT, Kangarloo H. Mapping GI/GU anatomical locations and conditions to UMLS and to an image model based on the Visual Human male dataset. Radiological Society of North America. 2004.
  24. Selva LE, Brennan M, Sinha U. Automated processing of diffusion tensor data for integration within a PAC system. Radiological Society of North America. 2004.
  25. Selva LE, Brennan M, Sinha U. Automated processing of diffusion tensor data for integration within a PAC system. IEEE METMBS Conference. 2004.
  26. Cho PS, Taira RK, Bui AAT, Kangarloo H. Construction of Knowledge Frames for Medical Reports. Proc Intl Medical Informatics Assoc (MedInfo). San Francisco; 2004.
  27. Son RY, Meng F, Chen AA, Taira RK, Kangarloo H. Towards Semantics-Based Intra-Document Coreference Resolution. METMBS. 2004.
  28. Son RY, Taira RK, Kangarloo H. Inter-document coreference resolution of abnormal findings in radiology documents. Stud Health Technol Inform. 2004;107:1388–92.
  29. Ardekani S, Sinha U. Constrained free form deformation based algorithm for geometric distortion correction of echo planar diffusion tensor images. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. Washington, DC, USA: IEEE; 2004. p. 340–343. DOI: 10.1109/ISBI.2004.1398544.
  30. Meng F, Taira RK, Bui AAT, Kangarloo H, Churchill BM. Automatic generation of repeated patient information for tailoring clinical notes. Stud Health Technol Inform. 2004;107:653–7.
  31. Bui AAT, Taira RK, El-Saden S, Dordoni A, Aberle DR. Automated medical problem list generation: Towards a patient timeline. Stud Health Technol Inform. 2004;107:587–91. PDF
  32. Sinha U, Ardekani S. Parametric brain MR atlases: Standardization for imaging informatics. Stud Health Technol Inform. 2004;107:1374–8.
  33. Meng F, Chen AA, Son RY, Taira RK, Churchill BM, Kangarloo H. Information Extraction Using Semantic Patterns for Populating Clinical Data Models. METMBS. 2004.
  34. Selva LE, El-Saden S, Sayre JW, Kangarloo H, Sinha U. Automated decision support for brain MRI protocol selection. Proc IEEE METMBS. 2004. p. 23–30.
  35. Sinha S, Sinha U. In vivo diffusion tensor imaging of the human prostate. Magn Reson Med. 2004;52:530–7. DOI: 10.1002/mrm.20190.
  36. Bui AAT, Taira RK, Goldman D, Dionisio J, Aberle DR, El-Saden S, Sayre JW, Rice T, Kangarloo H. Effect of an imaging-based streamlined electronic healthcare process on quality and costs. Acad Radiol. 2004;11:13–20.
  37. Chen AA, Dionisio J, Meng F, Churchill BM, Kangarloo H. Automated generation of diagnosis-specific visualizations of electronic medical record data for pediatric patients with neurogenic bladder. Proc Intl Medical Informatics Assoc (MedInfo). San Francisco; 2004.
  38. Ardekani S, Sinha U. Quantitative assessment of parallel acquisition techniques in diffusion tensor imaging at 3.0 Tesla. Proc Intl Conf IEEE METMBS. San Francisco: IEEE; 2004. DOI: 10.1109/IEMBS.2004.1403349.
  39. Bui AAT, Taira RK, Dionisio J, Aberle DR, Kangarloo H. Problem-centric visualization of an imaging-based electronic medical record. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  40. Morioka CA, El-Saden S, Duckwiler G, Zou Q, Ying R, Bui AAT, Johnson D, Kangarloo H. Workflow management of HIS/RIS textual documents with PACS image studies for neuroradiology. AMIA Annu Symp Proc. 2003. p. 475–9.
  41. Sinha U, El-Saden S, Duckwiler G, Thompson LL, Ardekani S, Kangarloo H. A customizable MR brain imaging atlas of structure and function for decision support. AMIA Annu Symp Proc. 2003. p. 604–8.
  42. Taira RK, Cho PS, Kangarloo H. Natural language processing of GU radiology reports. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  43. Son RY, Taira RK, Bui AAT, Cardenas AF, Kangarloo H. Imaging-based episode creation. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  44. Sinha U, Thompson LL, El-Saden S, Ardekani S, Dionisio J, Kangarloo H. Automated MR brain image study summarization. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  45. Liu VZ, Mao W, Zou Q, Chu W, Kangarloo H. A knowledge-based approach for scenario-specific medical free-text retrieval. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  46. Dionisio J, Bui AAT, Ying R, Morioka CA, Kangarloo H. A gesture-driven user interface for medical image viewing. Radiological Society of North America. Chicago, IL: RSNA; 2003.
  47. Zou Q, Chu W, Morioka CA, Leazer GH, Kangarloo H. IndexFinder: A method of extracting key concepts from clinical texts for indexing. AMIA Annu Symp Proc. 2003. p. 763–7.
  48. Ardekani S, Sinha U. Diffusion model based non-linear warping for distortion corrections in diffusion tensor images. Proc Intl Soc Mag Reson Med. 2003.
  49. Cho PS, Taira RK, Kangarloo H. Automatic section segmentation of medical reports. AMIA Annu Symp Proc. 2003. p. 155–9.
  50. Morioka CA, Sinha U, Taira RK, El-Saden S, Duckwiler G, Kangarloo H. Structured reporting in neuroradiology. Ann N Y Acad Sci. 2002;980:259–66.
  51. Bui AAT, Weinger GS, Barretta SJ, Dionisio J, Kangarloo H. An XML gateway to patient data for medical research applications. Ann N Y Acad Sci. 2002;980:236–46.
  52. Sinha U, Bui AAT, Taira RK, Dionisio J, Morioka CA, Johnson D, Kangarloo H. A review of medical imaging informatics. Ann N Y Acad Sci. 2002;980:168–97.
  53. Taira RK, Bui AAT, Kangarloo H. Identification of patient name references within medical documents using semantic selectional restrictions. Proc AMIA Symp. 2002;2002:757–61.
  54. Son RY, Taira RK, Bui AAT, Kangarloo H, Cardenas AF. A context-sensitive methodology for automatic episode creation. Proc AMIA Symp. 2002;2002:707–11.
  55. Bui AAT, Dionisio J, Morioka CA, Sinha U, Taira RK, Kangarloo H. DataServer: An infrastructure to support evidence-based radiology. Acad Radiol. 2002;9:670–8.
  56. Bui AAT, Taira RK, Dionisio J, Aberle DR, El-Saden S, Kangarloo H. Evidence-based radiology: Requirements for electronic access. Acad Radiol. 2002;9:662–9.
  57. Bui AAT, Taira RK, Churchill BM, Kangarloo H. Integrated visualization of problemcentric urologic patient records. Ann N Y Acad Sci. 2002;980:267–77.
  58. Sinha U, Kangarloo H. Image study summarization of MR brain images by automated localization of relevant structures. Ann N Y Acad Sci. 2002;980:278–86.
  59. Sinha U, Kangarloo H. Principal component analysis for content-based image retrieval. Radiographics. 2002;22:1271–89. DOI: 10.1148/radiographics.22.5.g02se021271.
  60. Sinha U, Yao L. In vivo diffusion tensor imaging of human calf muscle. J Magn Reson Imaging. 2002;15:87–95.
  61. Sinha S, Sinha U. Functional magnetic resonance of human breast tumors: diffusion and perfusion imaging. Ann N Y Acad Sci. 2002;980:95–115.
  62. Sinha S, Lucas-Quesada FA, Sinha U, DeBruhl N, Bassett L. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. J Magn Reson Imaging. 2002;15:693–704. DOI: 10.1002/jmri.10116.
  63. Oshiro T, Sinha U, Lu D, Sinha S. Reduction of electronic noise from radiofrequency generator during radiofrequency ablation in interventional MRI. J Comput Assist Tomogr. 2002;26:308–16.
  64. Johnson D, Zou Q, Dionisio J, Liu VZ, Chu W. Modeling medical content for automated summarization. Ann N Y Acad Sci. 2002;980:247–58.
  65. Dionisio J, Bui AAT, Johnson D, Thompson LL, Sinha U. Designing a patient education framework via use case analysis. Ann N Y Acad Sci. 2002;980:225–35.
  66. Close RA, Abbey CK, Morioka CA, Whiting JS. Evaluation of layer decomposition for multiframe quantitative coronary angiography. Med Phys. 2002;29:311–8.
  67. Dionisio J, Bui AAT, Johnson D, Thompson LL, Sinha U. A Java-based framework for maintaining patient education content. Ann of N Y Acad Sci. 2002. p. 226–235.
  68. Bui AAT, Taira RK, Morioka CA, Hall T, Boechat IM, Sayre JW, Leazer GH, Kangarloo H. A multimedia record for pediatric patients. Proc Mathematics and Engineering Techniques in Medicine and the Biological Sciences (METMBS). Mathematics and Engineering Techniques in Medicine and the Biological Sciences (METMBS); 2002.
  69. Dionisio J, Johnson D, Bui AAT, Sinha U, Kangarloo H. A design for integrating parallel and overlapping software development projects. Proc Mathematics and Engineering Techniques in Medicine and the Biological Sciences. 2002;
  70. Ardekani S, Sinha U. Non-linear warping integrating intensity matching for geometric distortion correction in DW-MRI. Biomedical Engineering Society (BMES). 2002;
  71. Ardekani S, Kangarloo H, Sinha U. Region based fuzzy clustering for automated brain segmentation. Engineering in Medicine and Biology, 2002 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002 Proceedings of the Second Joint. IEEE; 2002.
  72. Son RY, Taira RK, Bui AAT, Kangarloo H, Cardenas AF. A Probabilistic Model for Constructing Healthcare Episodes. Proc METMBS 2002. 2002;:3\textendash10.
  73. Taira RK, Soderland SG, Jakobovits R. Automatic structuring of radiology free-text reports. Radiographics. 2001;21:237–45. DOI: 10.1148/radiographics.21.1.g01ja18237.
  74. Johnson D, Zou Q, Dionisio J, Chu W. Summarizing medical documents using multi-word combinations. Proc Mathematics and Engineering Techniques in Medicine and the Biological Sciences (METMBS). 2001. p. 401–407.
  75. Morioka CA, Sinha U, El-Saden S, Duckwiler G, Kangarloo H. DICOM structured reporting in neuroradiology. Proc Mathematics and Engineering Techniques in Medicine and the Biological Sciences (METMBS). 2001. p. 408–412.
  76. Morioka CA, Valentino DJ, Duckwiler G, El-Saden S, Sinha U, Bui AAT, Kangarloo H. Disease specific intelligent pre-fetch and hanging protocol for diagnostic neuroradiology workstations. Proc AMIA Symp. 2001. p. 468–72.
  77. Sinha U, Taira RK, Kangarloo H. Structure localization in brain images: Application to relevant image selection. Proc AMIA Symp. 2001;:622–6.
  78. Bui AAT, McNitt-Gray MF, Goldin J, Cardenas AF, Aberle DR. Problem-oriented prefetching for an integrated clinical imaging workstation. J Am Med Inform Assoc. 2001;8:242–53.
  79. Morioka CA, Bui AAT, Sinha U, El-Saden S, Duckwiler G. DICOM structured report hyperlinked to DICOM presentation state in neuroradiology. Radiological Society of North America (RSNA). 2001;
  80. Sinha S, Sinha U, Lucas-Quesada FA, DeBruhl N. Apparent diffusion coefficient of the normal prostate. 9th Intl Soc Mag Res Med (ISMRM) Meeting. 2001.
  81. Sinha U, Kangarloo H. Relevant MR imaging selection by automated localization of structure. Proc Mathematics and Engineering Techniques in Medicine and the Biological Sciences (METMBS). 2001;
  82. Sinha U, Ton A, Yaghmai A, Taira RK, Kangarloo H. Image content extraction: Application to MR images of the brain. Radiographics. 2001;21:535–47. DOI: 10.1148/radiographics.21.2.g01mr18535.
  83. Close RA, Abbey CK, Morioka CA, Whiting JS. Accuracy assessment of layer decomposition using simulated angiographic image sequences. IEEE Trans Med Imaging. 2001;20:990–8. DOI: 10.1109/42.959296.
  84. Dionisio J, Johnson D, Bui AAT, Son RY, Churchill BM, Kangarloo H. Individually tailored, multimedia physician-patient communication. Proc Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS). Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS); 2000. p. 513–520.
  85. Dionisio J, Taira RK, Sinha U, Johnson D, Dai BY, Tashima G, Blythe S, Johnson R, Kangarloo H. Teleradiology as a foundation for an enterprise-wide health care delivery system. Radiographics. 2000;20:1137–50. DOI: 10.1148/radiographics.20.4.g00jl321137.
  86. Johnson D. Methods for domain-specific information retrieval. [PhD dissertation]. 2000.
  87. Jakobovits R, Soderland SG, Taira RK, Brinkley JF. Requirements of a Web-based experiment management system. Proc AMIA Symp. 2000;:374–8.
  88. Sinha S, Lucas-Quesada FA, Sinha U, DeBruhl N. Use of apparent diffusion coefficient to enhance the specificity of MR imaging of breast lesions. European Radiology. 2000;10:F43–F44.
  89. Dai BY, Sinha U, Taira RK, Thompson LL, Dionisio J, Kangarloo H. Free-text radiology reports to standardized structured representations: The next step. Decisions in Imaging Informatics. 2000;13:14–20.
  90. Yao L, Sinha U. Imaging the microcirculatory proton fraction of muscle with diffusion-weighted echo-planar imaging. Acad Radiol. 2000;7:27–32.
  91. Chu W, Johnson D, Kangarloo H. A medical digital library to support scenario and user-tailored information retrieval. IEEE Trans Inf Technol Biomed. 2000;4:97–107.
  92. Morioka CA, Abbey CK, Eckstein M, Close RA, Whiting JS, LeFree M. Simulating coronary arteries in x-ray angiograms. Med Phys. 2000;27:2438–44.
  93. Sinha U, Yaghmai A, Thompson LL, Dai BY, Taira RK, Dionisio J, Kangarloo H. Evaluation of SNOMED3.5 in representing concepts in chest radiology reports: integration of a SNOMED mapper with a radiology reporting workstation. Proc AMIA Symp. 2000;:799–803.
  94. Sinha U, Dai BY, Johnson D, Taira RK, Dionisio J, Tashima G, Golamco M, Kangarloo H. Interactive software for generation and visualization of structured findings in radiology reports. AJR Am J Roentgenol. 2000;175:609–12. DOI: 10.2214/ajr.175.3.1750609.
  95. Sinha U, Ton A, Taira RK, Kangarloo H. Structuring MR image datasets: Image content modeling. RSNA. 2000.
  96. Soderland SG, Taira RK, Jakobovits R, Warner A. Analysis of serial CT reports for pediatric patients with metastatic lung disease. Radiological Society of North America. 2000. p. 704.
  97. Thompson LL, Sinha U, Madu E, Ratib OM, Dionisio J, Dai BY, Taira RK, Kangarloo H. Structured data entry for cardiology and cardiac imaging: user profile based templates. Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS). 2000. p. 521–6.
  98. Valdez JA, Dionisio J, Golamco M, Son RY, Kangarloo H. Creation of a health services research client in a distributed telemedicine environment. Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS). 2000. p. 505–512.
  99. Sinha U, Sinha S, Oshiro T. Temperature-Sensitive Magnetic Resonance Sequences. Open Field Magnetic Resonance Imaging. Springer; 2000. p. 95\textendash106. DOI: 10.1007/978-3-642-59581-3_9.
  100. Bui AAT. A multimedia data model with generalized stream constructs. [Doctoral Dissertation]. [Los Angeles]: University of California, Los Angeles; 2000.
  101. Gupta RK, Cloughesy TF, Sinha U, Garakian J, Lazareff J, Rubino G, Rubino L, Becker DP, Vinters HV, Alger JR. Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma. J Neurooncol. 2000;50:215–26.
  102. Lucas-Quesada FA, Sinha S, Sinha U. Apparent diffusion coefficient - An additional feature to increase specificity in the classification of breast lesions. 8th Intl Soc Mag Res Med Meeting (ISMRM). International Society of Magnetic Resonance in Medicine(ISMRM); 2000.
  103. Kangarloo H, Valdez JA, Yao L, Chen S, Curran J, Goldman D, Sinha U, Dionisio J, Taira RK, Sayre JW, Seeger L, Johnson R, Barbaric Z, Steckel RJ. Improving the quality of care through routine teleradiology consultation. Acad Radiol. 2000;7:149–55.
  104. Dai BY, Sinha U, Dionisio J, Tashima G, Johnson R. Individually tailored time management - A patient centric scheduler. Radiological Society of North America. 1999.
  105. Valdez JA, Sinha U, Caruana R, Ratib OM, Madu E, Kangarloo H. Simulation model for evaluating diagnostic technologies used in the identification of acute cardiac ischemia. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  106. Thompson LL, Sinha U, Ratib OM, Madu E, Dionisio J, Kangarloo H. Focused knowledge navigation implementing structured data entry for cardiology and cardiac imaging. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999. p. 580.
  107. Meng F. A Natural Language Interface for Information Retrieval from Forms on the World Wide Web. Proceedings of the 20th International Conference on Information Systems. Atlanta, GA, USA: Association for Information Systems; 1999.
  108. Son RY, Valdez JA, Sinha U, Cardenas AF, Taira RK, Kangarloo H. A health services research workstation and imaging based episode creator to facilitate evidence-based medical research. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  109. Sinha U, Taira RK, Johnson D, JD D, Kangarloo H. Image content modeling for evidence based medical practice. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  110. Sinha U, Taira RK, Dai BY, Soderland SG, Johnson D, Kangarloo H. Informatics for cancer clinical trials: Standardized, structured data entry. American Medical Informatics Association. Washington, DC: American Medical Informatics Association; 1999.
  111. Sinha U, Sinha S, Yao L. In vivo measurements of the diffusion tensor in muscle: Tetrahedrally encoded diffusion gradients with echo planar acquisition. 7th ed. International Society for Magnetic Resonance in Medicine. Philadelphia, Pennsylvania, USA: International Society for Magnetic Resonance in Medicine; 1999.
  112. Sinha U, Sinha S, Chan J, Lufkin RB. In vivo measurements of trace diffusion coefficient in normal head and neck - Tetrahedrally encoded diffusion gradients with EPI. 7th ed. International Society for Magnetic Resonance in Medicine. Philadelphia, Pennsylvania, USA: International Society for Magnetic Resonance in Medicine; 1999.
  113. Sinha U, Dionisio J, Dai BY, Tashima G, Valdez JA, Kangarloo H. Decision table formalism for guideline representation of cholesterol management: Application to patient/physicians collaborative path for risk reduction of heart disease. American Medical Informatics Association Symposium. Washington, DC: American Medical Informatics Association; 1999.
  114. Sinha U, Dai BY, Thompson LL, Taira RK, Dionisio J, Kangarloo H. Dictated radiology report to standardized representation. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  115. Sinha S, Oshiro T, Sinha U, Daniell AL, Lu D, Lufkin RB. MR contrast optimization for a breathold 3D sequence: Applications to cardiac imaging. 7th ed. International Society for Magnetic Resonance in Medicine. Philadelphia, Pennsylvania, USA: International Society for Magnetic Resonance in Medicine; 1999.
  116. Sinha S, Oshiro T, Ong K, Sinha U, Daniell AL, Lu D, Lufkin RB. In vivo laser ablation of a porcine model: Real-time temperature monitoring and tissue damage modeling. International Society for Magnetic Resonance in Medicine. Philadelphia, Pennsylvania, USA: International Society for Magnetic Resonance in Medicine; 1999.
  117. Meng F. Formation of queries from natural language using a semantic model and statistical approaches [Doctoral Dissertation]. [Los Angeles]: University of California at Los Angeles; 1999.
  118. Johnson D, Chu W. Using n-word combinations for domain specific information retrieval. The International Conference on Information Fusion. San Jose, California, USA: The International Conference on Information Fusion; 1999.
  119. Johnson D, Dionisio J, Taira RK, Caruana R, Chu W, Kangarloo H. Tailoring medical literature searches to support evidence-based medical practice. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  120. Johnson D, Dionisio J, Sinha U, Ratib OM, Kangarloo H. Using digital ink for structured medical reporting. Radiological Society of North America. Chicago, Illinois, USA: Radiological Society of North America; 1999.
  121. Dionisio J, Sinha U, Dai BY, Johnson D, Taira RK. Initial experiences with building a health care infrastructure based on Java and object-oriented database technology. Proc AMIA Symp. 1999;:515–9.
  122. Dai BY, Sinha U, Dionisio J, Tashima G, Johnson R, Taira RK, Kangarloo H. Individually Tailored Time Management: Patient-Centric Scheduling. Proc AMIA Symp. 1999.
  123. Bui AAT, Aberle DR, Goldin J, McNitt-Gray MF, Cardenas AF, Kleerup EC, Ratib OM. TimeLine: A multimedia, problem-centric visualization of patient records. Proc AMIA Symp. 1999. p. 1034.
  124. Kangarloo H, Dionisio J, Sinha U, Johnson D, Taira RK. Process models for telehealth: an industrial approach to quality management of distant medical practice. Proc AMIA Symp. 1999;1999:545–9.
  125. Daniell AL, Sinha S, Sinha U. A real-time, low-cost MR image reconstruction device: Applications to interventional MRI. Intl Soc Mag Res Med Meeting (ISMRM). 1999.
  126. Caruana R, Kangarloo H, Dionisio J, Sinha U, Johnson D. Case-based explanation of non-case-based learning methods. Proc AMIA Symp. 1999;1999:212–5.
  127. Taira RK, Soderland SG. A statistical natural language processor for medical reports. Proc AMIA Symp. 1999;:970–4.
  128. Johnson D, Chu W, Dionisio J, Taira RK, Kangarloo H. Creating and indexing teaching files from free-text patient reports. Proc AMIA Symp. 1999;:814–8.
  129. Dionisio J, Johnson D, Bui AAT, Taira RK, Aberle DR, Kangarloo H. A systematic method for new technology integration into a distributed electronic infrastructure to improve quality of care. Radiological Society of North America (RSNA). Chicago, IL, USA: Radiological Society of North America (RSNA); 1999.
  130. Dionisio J, Johnson D, Bui AAT, Son RY, Churchill BM, Kangarloo H. Individually tailored, multimedia physician-patient communication. Radiological Society of North America. 1999.
  131. Bui AAT, Aberle DR, Dionisio J, Son RY, McNitt-Gray MF, Cardenas AF. TimeLine: A platform-independent, configurable interface for problem-centric multimedia patient records. RSNA. 1999.
  132. Gupta RK, Sinha U, Cloughesy TF, Alger JR. Inverse correlation between choline magnetic resonance spectroscopy signal intensity and the apparent diffusion coefficient in human glioma. Magn Reson Med. 1999;41:2–7.
  133. Johnson D, Taira RK, Zhou W, Goldin J, Aberle DR. Hyperad: augmenting and visualizing free text radiology reports. Radiographics. 1998;18:507–15. DOI: 10.1148/radiographics.18.2.9536493.
  134. Bui AAT, Aberle DR, McNitt-Gray MF, Cardenas AF, Goldin J. The evolution of an integrated timeline for oncology patient healthcare. Proc AMIA Symp. 1998;:165–9.
  135. Sinha U, Dai BY, Kangarloo H, Taira RK, Johnson D, Golamco M. Using speech recognition and natural language processing for semi-automatic structured radiology reporting. Radiological Society of North America (RSNA). Chicago, IL, USA: Radiological Society of North America (RSNA); 1998.
  136. Chu W, Hsu C-C, Cardenas AF, Taira RK. Knowledge-based image retrieval with spatial and temporal constructs. Knowledge and Data Engineering, IEEE Transactions on. 1998;10:872\textendash888. DOI: 10.1109/69.738355.
  137. Sinha S, Mather R, Sinha U, Goldin J, Fonarow G, Yoon H-C. Estimation of the left ventricular ejection fraction using a novel multiphase, dark-blood, breath-hold MR imaging technique. AJR Am J Roentgenol. 1997;169:101–12. DOI: 10.2214/ajr.169.1.9207508.
  138. Johnson D, Taira RK, Cardenas AF, Aberle DR. Extracting information from free text radiology reports. International Journal on Digital Libraries. 1997;1:297\textendash308. DOI: 10.1007/s007990050024.
  139. Sinha S, Oshiro T, Sinha U, Lufkin RB. Phase imaging on a .2-T MR scanner: application to temperature monitoring during ablation procedures. J Magn Reson Imaging. 1997;7:918–28.
  140. Taira RK, Johnson D, Bhushan V, Rivera M, Wong C, Huang L, Aberle DR, Greaves M, Goldin J. A concept-based retrieval system for thoracic radiology. J Digit Imaging. 1996;9:25–36.
  141. Sinha U, Sinha S. High speed diffusion imaging in the presence of eddy currents. J Magn Reson Imaging. 1996;6:657–66.
  142. Sinha S, Sinha U. Black blood dual phase turbo FLASH MR imaging of the heart. J Magn Reson Imaging. 1996;6:484–94.
  143. Lucas-Quesada FA, Sinha U, Sinha S. Segmentation strategies for breast tumors from dynamic MR images. J Magn Reson Imaging. 1996;6:753–63.
  144. Dionisio J, Cardenas AF, Taira RK, Aberle DR, Chu W, McNitt-Gray MF, Goldin J, Lufkin RB. A unified timeline model and user interface for multimedia medical databases. Comput Med Imaging Graph. 1996;20:333–46.
  145. Aberle DR, Dionisio J, McNitt-Gray MF, Taira RK, Cardenas AF, Goldin J, Brown K, Figlin RA, Chu W. Integrated multimedia timeline of medical images and data for thoracic oncology patients. Radiographics. 1996;16:669–81. DOI: 10.1148/radiographics.16.3.8897631.
  146. Kangarloo H, Taira RK. Tailoring managed care to needs of individuals. Diagn Imaging (San Franc). 1996;18:39–41, 43.
  147. Kangarloo H, Ho BK, Lufkin RB, Barbaric Z, Kirlew K, Yaghmai S, Scholem D, Steckel RJ. Effect of conversion from a fee-for-service plan to a capitation reimbursement system on a circumscribed outpatient radiology practice of 20,000 persons. Radiology. 1996;201:79–84. DOI: 10.1148/radiology.201.1.8816525.
  148. Chu W, Cardenas AF, Taira RK. KMeD: a knowledge-based multimedia medical distributed database system. Information Systems. 1995;20:75\textendash96. DOI: 10.1016/0306-4379(95)98556-S.
  149. Sinha S, Sinha U, Czernin J, Porenta G, Schelbert HR. Noninvasive assessment of myocardial perfusion and metabolism: feasibility of registering gated MR and PET images. AJR Am J Roentgenol. 1995;164:301–7. DOI: 10.2214/ajr.164.2.7839959.
  150. Ho BK, Taira RK, Steckel RJ, Kangarloo H. Technical considerations in planning a distributed teleradiology system. Telemed J. 1995;1:53–65.
  151. Chu W, Ieong IT, Taira RK. A Semantic Modeling Approach for Image Retrieval by Content. The VLDB Journal. 1994;3:445\textendash477.
  152. Huang HK, Taira RK, Lou S-L, Wong AWK, Breant C, Ho BK, Chuang KS, Stewart BK, Andriole K, Tecotzky R. Implementation of a large-scale picture archiving and communication system. Comput Med Imaging Graph. 1993;17:1–11.
  153. Sinha S, Sinha U, Kangarloo H, Huang HK. Magnetic resonance image synthesis from analytic solutions of spin-echo and radio frequency-spoiled gradient-echo images. Invest Radiol. 1992;27:856–64.
  154. Sinha S, Sinha U, Kangarloo H, Huang HK. A PACS-based interactive teaching module for radiologic sciences. AJR Am J Roentgenol. 1992;159:199–205. DOI: 10.2214/ajr.159.1.1609698.
  155. Kangarloo H. PACS – Clinical experience at UCLA. Comput Med Imaging Graph. 1991;15:201–3.
  156. Huang HK, Kangarloo H, Cho PS, Taira RK, Ho BK, Chan KK. Planning a totally digital radiology department. AJR Am J Roentgenol. 1990;154:635–9. DOI: 10.2214/ajr.154.3.2106235.
  157. Dietrich RB, Bradley WG, Zaragoza EJ, Otto RJ, Taira RK, Wilson GH, Kangarloo H. MR evaluation of early myelination patterns in normal and developmentally delayed infants. AJR Am J Roentgenol. 1988;150:889–96. DOI: 10.2214/ajr.150.4.889.