Bui AAT. Optimizing imaging-based clinical decision making processes. World Brain Mapping Conference, Society for Brain Mapping Technologies (SBMT). Los Angeles,California, USA; 2018.
Shiwen S, Smedley NF, Piedra EAR, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2018.
Ing N, Ma Z, Li J, Salemi H, Arnold C, Knudsen BS, Gertych A. Semantic segmentation for prostate cancer grading by convolutional neural networks. Medical Imaging 2018: Digital Pathology. International Society for Optics and Photonics; 2018. p. 105811B.
Matiasz NJ, Wood J, Wang W, Hsu W, Silva AJ. Translating literature into causal graphs: Toward automated experiment selection. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Kansas City, MO; 2017. DOI: 10.1109/BIBM.2017.8217713.
Shen S, Bui AAT, Hsu W. Robust lung nodule classification using 2.5D convolutional neural network. Proc AMIA Fall Symp 2017. Washington, D.C.; 2017.
AR E, Cloughesy T, Ellingson B, El-Saden S, Bui AAT, Hsu W. Evaluating the applicability of tumor probability maps as a resource for improved brain tumor segmentation. Proc Ann Society Neuro-Oncology Scientific Meeting, 2017. San Francisco,California, USA; 2017.
Piedra EAR, Ellingson B, Cloughesy T, Taira RK, El-Saden S, Bui AAT, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2017.
Piedra EAR, Orosz I, Zide M, El-Saden S, Taira RK, Bui AAT, Hsu W. A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application. Poster presented at American Medical Informatics Association. 2017.
Piedra EAR, Ellingson B, El-Saden S, Taira RK, Bui AAT, Hsu W. Measuring Tumor Boundary Variability to Improve Automated Segmentation of Brain Tumors Using Multimodal MRI. Poster presented at International Society for Magnetic Resonance in Medicine (ISMRM). 2017.
Piedra EAR, Ellingson B, El-Saden S, Taira RK, Bui AAT, Hsu W. Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries. International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 2017;:206–216.
Li J, Sarma KV, Ho KC, Gertych A, Knudsen BS, Arnold CW. A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. AMIA Annual Symposium Proceedings. American Medical Informatics Association; 2017. p. 1140.
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.
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.
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.
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.
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.
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.
Tong M, Hsu W, Taira RK. A visualization for clinical trial reports: A usability study. AMIA Annu Symp Proc. Chicago, IL; 2016.
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.
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.
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.
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.
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.
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.
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.
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.
Piedra EAR, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. GlioView: An Application to Visualize Variability in Brain Tumor Segmentation to Inform the Clinical Assessment of Change. Applied science presentation at Radiological Society of North America (RSNA). 2016.
Piedra EAR, Ho KC, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. Glioblastoma Multiforme Segmentation by Variability Characterization of Tumor Boundaries. Medical Image Computing and Computer Assisted Intervention Society (MICCAI), MICCAI-BRATS Conference Workshop. 2016.
Jann K, Smith R, Piedra EAR, Dapretto M, Wang D. Noise reduction in Arterial Spin Labeling based Functional Connectivity Using Nuisance Variables. Frontiers in Neuroscience (Advanced Neuroimaging Methods for Studying Autism Disorder). 2016;:371.
Piedra EAR, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. Assessing Variability in Brain Tumor Segmentation to Improve Volumetric Accuracy and Characterization of Change. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS). 2016. p. 380–383.
Winter A, Féray C, Jean-Pierre, Landais P. Survival benefit in liver transplantation by categories of severity scores using the Model For End-Stage Liver Disease (MELD) and the Donor Risk Index (DRI). ISCB. Birmingham, England; 2016.
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.
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.
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.
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.
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.
Winter A, Levesque E, Noorah Z, Daurès J-P, Landais P, Féray C, Azoulay D. A prognostic score of futility for early mortality in liver transplantation in cirrhotic patients. ISCB. Utrecht, the Netherlands; 2015.
Matiasz NJ, Hsu W, Silva AJ. ResearchMaps.org, a free web application to track causal information in biology. Proceedings of the 13th Annual Molecular and Cellular Cognition Society (MCCS) Symposium. Washington, D.C.; 2014.
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.
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.
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.
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.
Garcia-Gathright JI, Arnold CW, Bui AAT. Automatic extraction of patient characteristics from clinical reports. RSNA Annual Meeting. Chicago, IL; 2013.
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.
Tong M, Hsu W, Taira RK. A representation for standardizing numerical data from clinical trial reports. RSNA Annual Meeting. Chicago, IL; 2012.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Bui AAT, Morioka CA. Information Systems & Architectures. Medical Imaging Informatics. Springer; 2010. p. 93\textendash137.
Bui AAT, Taira RK, Kangarloo H. Introduction. Medical Imaging Informatics. Springer; 2010. p. 3\textendash13.
Bui AAT, Taira RK. Organizing Observations: Data Models. Medical Imaging Informatics. Springer; 2010. p. 299\textendash331.
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.
Taira RK, Iglesias JE, Jahanshad N. Characterizing Imaging Data. Medical Imaging Informatics. Springer; 2010. p. 197\textendash255.
Taira RK. Natural Language Processing of Medical Reports. Medical Imaging Informatics. Springer; 2010. p. 257\textendash298.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Arnold CW, Davis M, Knoop S, Gruhl D. A scalable architecture for medical report driven information retrieval. Proc AMIA Annu Symp. 2009.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Tameem HZ, Sinha U. MR atlas for articular cartilage morphology: Potential to detect shape differences. Stud Health Technol Inform. 2007;129:1329–33.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Krupinski EA, Kallergi M. Choosing a Radiology Workstation: Technical and Clinical Considerations 1. Radiology. 2007;242:671\textendash682. DOI: 10.1148/radiol.2423051403.
Shpitser I, Pearl J. What Counterfactuals Can Be Tested. Uncertainty in Artificial Intelligence. Vancouver, Canada; 2007.
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.
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.
Hsu W, Bui AAT. A framework for visually querying a probabilistic model of tumor image features. AMIA Annu Symp Proc. 2006;2006:354–8.
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.
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.
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.
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.
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.
D\textquoterightAvolio L, Rees G, Boyadzhyan L. Improving the secondary utilization of clinical data by incorporating context. Proc ASIST pre-conference symposia. Austin; 2006.
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.
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.
Cho PS, Taira RK, Kangarloo H. Syntactic parsing of medical reports using evolutionary optimization. AMIA Annu Symp Proc. 2005. p. 920.
Bashyam V, Taira RK. A study of lexical behaviour of sentences in chest radiology reports. AMIA Annu Symp Proc. 2005. p. 891.
Bashyam V, Taira RK. Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005AA. AMIA Annu Symp Proc. 2005. p. 26–30.
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.
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.
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.
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.
Son RY, Taira RK, Kangarloo H. Inter-document coreference resolution of abnormal findings in radiology documents. Stud Health Technol Inform. 2004;107:1388–92.
Sinha U, Ardekani S. Parametric brain MR atlases: Standardization for imaging informatics. Stud Health Technol Inform. 2004;107:1374–8.
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.
Cho PS, Taira RK, Bui AAT, Kangarloo H. Construction of Knowledge Frames for Medical Reports. Proc Intl Medical Informatics Assoc (MedInfo). San Francisco; 2004.
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.
Selva LE, Brennan M, Sinha U. Automated processing of diffusion tensor data for integration within a PAC system. IEEE METMBS Conference. 2004.
Selva LE, Brennan M, Sinha U. Automated processing of diffusion tensor data for integration within a PAC system. Radiological Society of North America. 2004.
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.
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.
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.
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.
Cho PS, Taira RK, Kangarloo H. Automatic section segmentation of medical reports. AMIA Annu Symp Proc. 2003. p. 155–9.
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.
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.
Ardekani S, Sinha U. Diffusion model based non-linear warping for distortion corrections in diffusion tensor images. Proc Intl Soc Mag Reson Med. 2003.
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.
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.
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.
Son RY, Taira RK, Bui AAT, Cardenas AF, Kangarloo H. Imaging-based episode creation. Radiological Society of North America. Chicago, IL: RSNA; 2003.
Taira RK, Cho PS, Kangarloo H. Natural language processing of GU radiology reports. Radiological Society of North America. Chicago, IL: RSNA; 2003.
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.
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.
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.
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.
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.
Bui AAT, Taira RK, Churchill BM, Kangarloo H. Integrated visualization of problemcentric urologic patient records. Ann N Y Acad Sci. 2002;980:267–77.
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.
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.
Sinha U, Kangarloo H. Principal component analysis for content-based image retrieval. Radiographics. 2002;22:1271–89. DOI: 10.1148/radiographics.22.5.g02se021271.
Sinha U, Yao L. In vivo diffusion tensor imaging of human calf muscle. J Magn Reson Imaging. 2002;15:87–95.
Sinha S, Sinha U. Functional magnetic resonance of human breast tumors: diffusion and perfusion imaging. Ann N Y Acad Sci. 2002;980:95–115.
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.
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.
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.
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.
Close RA, Abbey CK, Morioka CA, Whiting JS. Evaluation of layer decomposition for multiframe quantitative coronary angiography. Med Phys. 2002;29:311–8.
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.
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.
Son RY, Taira RK, Bui AAT, Kangarloo H, Cardenas AF. A Probabilistic Model for Constructing Healthcare Episodes. Proc METMBS 2002. 2002;:3\textendash10.
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.
Sinha U, Taira RK, Kangarloo H. Structure localization in brain images: Application to relevant image selection. Proc AMIA Symp. 2001;:622–6.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Yao L, Sinha U. Imaging the microcirculatory proton fraction of muscle with diffusion-weighted echo-planar imaging. Acad Radiol. 2000;7:27–32.
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.
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.
Jakobovits R, Soderland SG, Taira RK, Brinkley JF. Requirements of a Web-based experiment management system. Proc AMIA Symp. 2000;:374–8.
Johnson D. Methods for domain-specific information retrieval. [PhD dissertation]. 2000.
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.
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.
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.
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.
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.
Bui AAT. A multimedia data model with generalized stream constructs. [Doctoral Dissertation]. [Los Angeles]: University of California, Los Angeles; 2000.
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.
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.
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.
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.
Sinha U, Ton A, Taira RK, Kangarloo H. Structuring MR image datasets: Image content modeling. RSNA. 2000.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Dionisio J, Johnson D, Bui AAT, Son RY, Churchill BM, Kangarloo H. Individually tailored, multimedia physician-patient communication. Radiological Society of North America. 1999.
Dai BY, Sinha U, Dionisio J, Tashima G, Johnson R. Individually tailored time management - A patient centric scheduler. Radiological Society of North America. 1999.
Taira RK, Soderland SG. A statistical natural language processor for medical reports. Proc AMIA Symp. 1999;:970–4.
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.
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.
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.
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.
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.
Kangarloo H, Taira RK. Tailoring managed care to needs of individuals. Diagn Imaging (San Franc). 1996;18:39–41, 43.
Sinha U, Sinha S. High speed diffusion imaging in the presence of eddy currents. J Magn Reson Imaging. 1996;6:657–66.
Sinha S, Sinha U. Black blood dual phase turbo FLASH MR imaging of the heart. J Magn Reson Imaging. 1996;6:484–94.
Lucas-Quesada FA, Sinha U, Sinha S. Segmentation strategies for breast tumors from dynamic MR images. J Magn Reson Imaging. 1996;6:753–63.
Ho BK, Taira RK, Steckel RJ, Kangarloo H. Technical considerations in planning a distributed teleradiology system. Telemed J. 1995;1:53–65.
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.
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Background The plasma membrane Ca2+-ATPase (PMCA) may be the principal means where sensory neurons expel Ca2+ and thereby regulate the concentration of cytoplasmic Ca2+ as well as the processes controlled by this critical second messenger. the pace of which depolarization-induced Ca2+ transients solved was improved in axotomized neurons after vertebral nerve ligation, indicating accelerated PMCA function. Electrophysiological recordings demonstrated that blockade of PMCA by Alvocidib vanadate long term the actions potential afterhyperpolarization, and in addition reduced the rate of which neurons could fireplace repetitively. Bottom line We discovered that PMCA function is certainly raised in axotomized sensory neurons, which plays a part in neuronal hyperexcitability. Accelerated PMCA function in the principal sensory neuron may donate to the era of neuropathic discomfort, and therefore its modulation could give a brand-new pathway for peripheral treatment of post-traumatic neuropathic discomfort. under different damage conditions. We as a result employed the technique of calculating PMCA selectively after getting rid of the function of various other Ca2+ sequestration pathways. First, we obstructed sarcoplasmic-endoplasmic reticulum Ca2+ ATPase (SERCA), which pushes cytoplasmic Ca2+ in to the ER, by contact with thapsigargin (TG, 1?M, 5?min). This led to transients that solved more gradually than in the lack of TG (Body ?(Figure2),2), which indicates that SERCA assists PMCA in clearing activity-induced Ca2+ tons. Additionally, through the use of short depolarizations, we limited transient amplitude to amounts (400nM) that Alvocidib are inadequate to initiate mitochondrial buffering of cytoplasmic Ca2+. Finally, traces that demonstrated a make or plateau of suffered Ca2+ elevation through the descending limb from the activity-induced transient weren't contained in the evaluation of PMCA, as this design represents the involvement of mitochondrial buffering . Both of these criteria needed exclusion of 25% of neurons. Open up in another window Body 2 Jobs of mitochondria, Na+/Ca2+ exchanger (NCX), and neuronal size. The recovery of [Ca2+]c from transients induced by program of high K+ option (50?mM for 0.3?s) in thapsigargin-treated neurons was measured by recovery price regular () and by enough time to attain 95% recovery to baseline (T95). Blockade of mitochondrial function by mixed program of antimycin (1?M) and oligomycin (10?M) for 3?min HDAC6 had zero impact compared baseline beliefs (BL) in the same neurons (A). Stop of NCX by equimolar substitute of shower Na+ with N-methyl-d-glucamine (NMDG) also acquired no influence on recovery of transients (B). Neuronal groupings with either huge (size 39??4?m) or little (26??3?m) information didn't differ in PMCA function (C). Mean??SD; quantities in pubs indicate n; simply no differences when examined by paired check. Evaluation of PMCA function in axotomized SNL L5 neurons and neighboring SNL L4 neurons to regulate neurons (treated with TG) uncovered an turned on PMCA condition selectively in axotomized neurons. Particularly, dimension of both (Body ?(Figure4C)4C) and T95 (Figure ?(Figure4D)4D) revealed an accelerated recovery from the depolarization-induced transient in the SNL L5 population. PMCA activity is certainly regulated with the focus of Ca2+ in the cytoplasm . The size from the axotomized SNL L5 neurons (24.4??3.3?m, n?=?50) was smaller Alvocidib than both control (27.5??5.1?m, n?=?173, of 0.16, 0.36, and 0.43 respectively). The best-fit craze series and coefficient of perseverance (R2) are proven. Impact of neuronal activation on PMCA Axotomized neurons could be quiescent because of being disconnected off their receptive areas, or alternatively could be hyperactive from ectopically generated activity because of membrane instability or mechanised and inflammatory affects . To recognize whether PMCA function is certainly delicate to neuronal activity level, we open neurons to repeated Ca2+ tons comparable to those we've previously documented during AP trains executed towards the neuronal soma . Particularly, we generated repeated 200-400nM Ca2+ transients in TG-treated sensory neurons by 0.3?s?K+ depolarizations at 2?min intervals, and examined the result of the activity in the price of transient recovery (Body ?(Figure6A).6A). This uncovered a intensifying acceleration of PMCA function in TG-treated control neurons, in a way that was reduced to 68??12% of baseline after 3 preceding intervals of activation (check. Rules of neuronal excitability by PMCA Since cytoplasmic Ca2+ regulates sensory neuron excitability [21,22], we speculated that PMCA function may modulate excitability through managing the speed of Ca2+ extrusion from your cytoplasm after activity-induced influx. Electrophysiological research had been performed by patch technique in dissociated sensory neurons that didn't differ between organizations for size (30.5??1.7?m) or resting membrane potential (?60.7??4.4?mV, n?=?28). We 1st evaluated effects within the afterhyperpolarization (AHP), since this regulates repeated firing behavior in sensory neurons [23,24]. We utilized intracellular vanadate, shipped by dialysis from your patch electrodes, to stop PMCA function [2,5]. Vanadate also blocks SERCA function, therefore selective results on PMCA had been.


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Q: Accessing Main Camera Left and Right in Unity / google-vr This is a follow up to this question regarding how to display objects on one camera only in google-vr and unity.
In the current demo project of Unity and Google-vr, I can only access Main Camera Left and Main Camera Right while running the game. During runtime, I am able to disable a layer with the culling mask of one camera.
But I am not able to save those changes while running the game. If I stop, the two Main Cameras Left/Right disappear and I only see Main Camera and GvrReticle as child.
I suspect the cameras are created or imported from a prefab during runtime.
What would be the right way to have the left / right cameras accessible when not running the screne?

A: It's mentioned in the guide:
Often you will wish to add the stereo rig to your scene in the Editor rather than at runtime. This allows you to tweak the default parameters of the various scripts provided in this plugin, and provides a framework on which to add additional scripts and objects, such as 3D user interface elements.
To turn your Camera into a stereo camera, select the Camera (or Cameras) in the Hierarchy panel, then execute the main menu command Component > Google VR > Update Stereo Cameras.

redpajama_set_name: RedPajamaStackExchange


text:
Arbitration notes
Hong Kong's funding code published
This post is part of the following categories:
Arbitration laws, Asia, Hong Kong & China, News, Uncategorized
As noted in our earlier post, Hong Kong published its long-awaited Code of Practice for Third Party Funding of Arbitration on 7 December 2018.
Publication of the Code has removed the final hurdle to third party funding of Hong Kong arbitrations. The law that allows such funding will come into effect on 1 February 2019, via sections 98K – 98O of the Arbitration Ordinance (Cap. 609). These sections abolish the criminal and tortious offences of champerty and maintenance in relation to third party funding of arbitration, as well as arbitration-related court and mediation proceedings. For more detail on the law, click here.
The Code was published by Hong Kong's Secretary for Justice, Teresa Cheng SC, in her capacity as the "authorized body" under Part 10A Arbitration Ordinance. Compliance with the Code will be overseen by an "advisory body", consisting of three senior Hong Kong lawyers, whose powers derive from s.98X Arbitration Ordinance.
Who must comply with the Code?
The Code applies to "third party funders", as defined in s.98J Arbitration Ordinance. Broadly, a funder is any person who is party to an agreement in writing to fund a party to arbitration proceedings[1] in Hong Kong (or in any other seat, if the work is done in Hong Kong), and who does not have a legitimate interest in the dispute other than via the funding agreement. The definition of funder is wide, and covers both corporate entities and individuals.
Under the Code, a funder is responsible for compliance by its subsidiaries and associated entities, as well as any investment advisors acting as the funder's agent.
The Code applies to any funding agreement made on or after 7 December 2018.
What are a funder's obligations?
The Code's primary object is to protect funded parties. As such, it imposes a number of obligations on funders. In particular, a funder must:
ensure its promotional literature is clear and not misleading;
ensure the funded party knows it is entitled to take independent legal advice;
provide a Hong Kong address for service (unless it has agreed another method of service with the funded party);
set out and explain in the funding agreement the key features and terms of the proposed funding agreement;
provide contact details for the advisory body;
maintain capacity to pay all its debts and cover its aggregate funding liabilities for a minimum of 36 months;
maintain access to at least HK$ 20m capital;
furnish audit opinions on its annual financial statements, or reasonable evidence from a "qualified third party" (preferably an auditor) that the funder satisfies the HK$ 20m requirement;
inform the funded party if its capital adequacy position changes, or if the audit opinion is qualified or questions its ability to continue as a going concern;
maintain effective procedures for managing conflicts of interest and complaints, and notify the advisory body annually of complaints or findings that it has failed to comply with the Code;
include dispute resolution provisions; and
observe the confidentiality and privilege of information relating to the arbitration (to the extent permitted by law).
There are also requirements as to the contents of the funding agreement. The agreement must state that the funder:
will not seek to influence the funded party or its lawyers to cede control of the arbitration to the funder, except to the extent allowed by law;
will not take steps that cause, or are likely to cause, the funded party's lawyers to breach their professional duties;
will not seek to influence the tribunal or arbitral institution.
The agreement must also state whether, and to what extent, the funder will be liable for the funded party's costs. This includes adverse costs, costs insurance premiums, security for costs and "any other financial liability".
Finally, the Code requires that the funding agreement state whether, and if so how, the funder may terminate the agreement, in the event that the funder reasonably (i) ceases to be satisfied about the merits of the claim; (ii) believes the funded party's prospects of success, or chances of recovery on success, have materially changed for the worse; or (iii) believes the funded party is in material breach of the agreement. The agreement must not give the funder a discretionary right to terminate in any other circumstances.
The funder is liable for all funding obligations accrued to the date of termination, unless termination is based on material breach by the funded party.
The funded party is less restricted. It may terminate the funding agreement if it reasonably believes that the funder has committed a material breach of the funding agreement which may lead to "irreparable damage".
What happens if a funder fails to comply?
Failure to comply with the Code will not result in judicial or other proceedings. However, the Code is admissible in evidence before a Hong Kong court or arbitral tribunal, which can take into account any failure to comply, if it is relevant to a question the court or tribunal is deciding (s.98S Arbitration Ordinance).
How does the Code compare?
The Code is materially similar to the English Association of Litigation Funders' Code of Conduct, although the ALF is a self-regulating code, with no equivalent to the Hong Kong advisory body overseeing compliance.
Singapore has no single body charged with overseeing arbitration funding. However, a number of guidelines apply. Among these, Singapore's Civil Law (Third-Party Funding) Regulations 2017 define "third party funder" as limited to professional funders only, and impose capital adequacy requirements of S$ 5m. The Singapore Institute of Arbitrators (SIArb) Guidelines for Third Party Funders contain substantially similar requirements to the Hong Kong and ALF Codes, although they are less prescriptive with respect to funders' termination rights.
The Code's contents, and the delay in permitting funding until the Code was published, both reveal a strong desire for effective regulation of Hong Kong's funding industry. Given that Hong Kong does not restrict funding to professional funders, this seems a prudent approach.
Hong Kong's already thriving arbitration community stands to benefit significantly from funding. That community, including arbitral institutions, funders, funded parties and their advisers, can now embrace the new laws and regulations, and work together to make them a success.
[1] For the time being, the Code does not apply to mediation proceedings.
Briana Young
Foreign Legal Consultant, Hong Kong
Simon Chapman
Partner, Hong Kong
May Tai
Kathryn Sanger
Herbert Smith Freehills LLP is licensed to operate as a foreign law practice in Singapore. Where advice on Singapore law is required, we will refer the matter to and work with licensed Singapore law practices where necessary.
Arbitration laws, Asia, Hong Kong & China, News, Uncategorized arbitration ordinance, Briana Young, Funding, Hong Kong, Litigation funding, Regulation, Third party funding, Third Party Funding in Arbitration

redpajama_set_name: RedPajamaCommonCrawl


Beauty Queen and lawyer Anna Licaros gives the Cavemen a 101 on the things they can get away with legally and the stuff that get them to a whole heap of trouble. Can you smell an underaged joke coming? Watch it, Cave Folks!


Does anyone know if the 12 minute tune is still valid for the 2018 models?
Cant see why it wouldnt be.
OK, being less flippant, is there a problem you hope to cure or are you just curious?
I was just curious, seeing how much of my gen 1 knowledge will be applicable to the gen 3.
I was wondering the same thing. Since I've got 2700 miles on the bike now, figured things were reasonably bedded in and an ECU update couldn't hurt. Performed the reset, or at least did the procedure, but can't say I noticed any real difference.
OK, since I'm quite new to the Triumph world.... what the * is a "12 minute tune" action ???!?
Start your bike from cold, without touching the throttle. Let it idle (without touching the throttle) until it warms up to the point that the radiator fan comes on. Now, let it idle for an additional 12 minutes (without touching the throttle). Now, key-off (without touching the throttle).
OK, interesting procedure :-) Since April 1st is long due, I guess you're quite serious about this (?) Maybe I'll try it with mine as well,.. just to see.
Thanx for the information !!
It is mostly done after you change to an after-market exhaust.
It did help me when my first '12 Tex began to exhibit fuelling (slight) issues.
Never had to perform it on my current '14.


text:
Сурогат је особа којој је дата могућност да делује у име другог (овлашћено лице или старатељ). У породично правном систему, појам се односи на небиолошког родитеља, а у медицини и на донатора сперме у банкама. Појам потиче од латинске речи која значи замену.

Литература
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Спољашње везе
 Centre for surrogate parenting

Право

redpajama_set_name: RedPajamaWikipedia


Family holidays: big trips or buckets and spades?
There are benefits of both approaches to going on a family holiday – and not just during the summer – from the chance to relax and spend quality time together, to broadening your horizons. With the welter of holiday options that are available, here's a quick survey of the Discover the World team to find out how they travelled as children, and what they believe travel can bring to young people.
"One of my favourite childhood memories is when my Dad took me to the Bahamas to go swimming with dolphins when I was around 12. It was just the two of us and was such a special trip.
"Travel does improve confidence; I gained friendships and also an understanding of different ways of life. On family holidays I enjoyed sharing my Dad's passions for travel and spending quality time with the family. Growing up travelling to different destinations, I feel, has made me more open minded; open to different experiences and people.
"As a child I was carted around Cornwall in a trailer tent. I spent times on farms, being chased by pot bellied pigs, finding jellyfish in the sea and being wrapped in plastic while rain dripped through the tent all night – for about 5 years in a row! As I got older I went to the likes of Majorca, Corfu and I had been to Orlando by the time I was 16. I think as I got older I would have liked to have gone to some more exotic places with my parents, but definitely while I was younger, I don't think I would have appreciated all the amazing places we could have visited.
"To me the summer holidays still says racing my brothers from Grandma's caravan to the cliff-path, jumping over the waves, washing sand and grass cuttings off our feet at the outside tap, making dens from foldable chairs, pegs and a groundsheet, and wet afternoons spent playing board games. We went back to the same caravan site each year – it happened to be in Norfolk, it could have been anywhere – and almost all my memories are in one place.
Planning a family holiday? Here are a few our our favourite trips.


This is one of the most frequent questions we get. Most dog owners have real life matters that they must often attend to, such as work, school, shopping, and more. This means that you can't be with your dog 24/7. It's highly recommended to crate train your dog, as this will become a source of comfort for them(they recognize it as their den).
Sometimes people have to be gone for 8+ hours, and don't want to leave their dog locked up inside their kennel for so long. This is where the question of leaving your dog outside comes into play.
The first thing to take into consideration is your dogs age. If they are still a puppy, you need to be absolutely sure that there are no hazards in the yard, and that they are in a fenced in area.
The next consideration is the type of community you live in. Some people will drive around looking for dogs to steal and sell, if you own an expensive dog that is still young, make sure you take this into consideration.
The next thing to take into consideration is temperature. Is it going to rain all day, be too cold, too hot? You don't want to leave your dog outside in harsh weather conditions unless they have an outdoor kennel.
Lastly, don't forget about their food and water. Make sure your dog has enough food and water to get through the day, + a couple of hours in case you get home late.


- through delivery, while the shipping is covered by the client and the money will be transferred through the bank into the client's bank account.
Please include into your email the following: Your Name | Reason of Return.
We accept domestic returns up to 14 calendar days from purchase date for unworn or unused items. If 14 days have gone by since your purchase, unfortunately we can't offer you an exchange or refund.
Pack the products well for safe delivery in their original packaging, if possible, and attach the delivery notice. On this email you@rogue8.net you have to write us and mention whether you want to change the size or want to reimburse, as well as the corresponding articles.
On the delivery note, you will see a label with the return address you must paste on the parcel.
To do this, go to the post office and send the parcel by registered mail with a receipt.
Please note: in the case of postal returns, ROGUE8 will not accept any unpaid or pay-as-you-ship parcels and will not bear the cost of postage returns.
Size change or refund will be processed within 3 to 12 business days after the parcel reaches our store.
If you prefer another size, if you want to change the item with another model or color, you need to return the product and place another order.
For returnes, please read above, for new order, please check online:www.rogue8.net and make a new order.
During periods of discounts and promotions, the delivery time may be longer than normal.


text:
Vera Bradley Creates New Limited-Release Patterns in Partnership With Disney Parks
– "Mickey's Sweet Treats" and "Sweet Treat Ditsy" debut today –
FORT WAYNE, Ind. and LAKE BUENA VISTA, Fla., Aug. 20, 2020 (GLOBE NEWSWIRE) -- Vera Bradley, Inc. (NASDAQ: VRA), the iconic women's fashion and lifestyle brand, has once again worked with Disney Parks to create two limited-release novelty patterns called Mickey's Sweet Treats and coordinating Sweet Treat Ditsy, both of which launched today.
Vera Bradley's design team collaborated with Disney Parks to create Mickey's Sweet Treats and Sweet Treat Ditsy, which are both medallion-based patterns. Hidden within each print are some of the signature sweet treats guests can enjoy at Disney Parks, including ice cream bars, cupcakes, donuts and cotton candy. Mickey Mouse, Minnie Mouse, Goofy, Donald Duck and Pluto are also featured among the classic confections.
Rob Wallstrom, Chief Executive Officer of Vera Bradley, noted, "Collaborating with Disney on special product collections is always a special treat, and the names of our newest limited-release novelty patterns reflect exactly that. We hope the launch of Mickey's Sweet Treats and Sweet Treat Ditsy reminds both Vera Bradley fans and Disney enthusiasts alike to take the time to enjoy life's sweetest moments."
The Mickey's Sweet Treats and Sweet Treat Ditsy collection features 18 items, including backpacks, crossbody bags, totes, a travel bag and various travel items, plush throw blankets, and several coordinating accessories. The limited-release collection is available exclusively by shopping at Vera Bradley at Disney Springs®, by visiting shopDisney.com or by calling Vera Bradley at Disney Springs® at (407) 828-0040 during store hours to place a phone order.
ABOUT VERA BRADLEY, INC.
Vera Bradley, Inc. operates two unique lifestyle brands – Vera Bradley and Pura Vida. Vera Bradley and Pura Vida are complementary businesses, both with devoted, emotionally-connected, and multi-generational female customer bases; alignment as causal, comfortable, affordable, and fun brands; positioning as "gifting" and socially-connected brands; strong, entrepreneurial cultures; a keen focus on community, charity, and social consciousness; multi-channel distribution strategies; and talented leadership teams aligned and committed to the long-term success of their brands.
Vera Bradley, based in Fort Wayne, Indiana, is a leading designer of women's handbags, luggage and other travel items, fashion and home accessories, and unique gifts. Founded in 1982 by friends Barbara Bradley Baekgaard and Patricia R. Miller, the brand is known for its innovative designs, iconic patterns, and brilliant colors that inspire and connect women unlike any other brand in the global marketplace.
In July 2019, Vera Bradley, Inc. acquired a 75% interest in Creative Genius, Inc., which also operates under the name Pura Vida Bracelets ("Pura Vida"). Pura Vida, based in La Jolla, California, is a rapidly growing, digitally native, and highly engaging lifestyle brand founded in 2010 by friends Paul Goodman and Griffin Thall. Pura Vida has a differentiated and expanding offering of bracelets, jewelry, and other lifestyle accessories.
Vera Bradley Investors:
Julia Bentley, VP of Investor Relations and Communications
jbentley@verabradley.com
Vera Bradley Media:
877-708-VERA (8372)
Mediacontact@verabradley.com
Photos accompanying this announcement are available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/9cb1990d-7771-4a6a-97cd-9c8c72ad7891
https://www.globenewswire.com/NewsRoom/AttachmentNg/0d8ce1ab-06dd-45a3-9792-4460835248b8
https://www.globenewswire.com/NewsRoom/AttachmentNg/4bd19be4-2222-409d-8da9-6f79c7334f58
https://www.globenewswire.com/NewsRoom/AttachmentNg/28e5a59e-a87f-4db9-95bd-21beed77b564


The Central Government may appoint a person to be the Central Registrar of Co-operative Societies and may appoint such other persons as it may think fit to assist the Central Registrar.
Provided that no officer of a State Government shall be empowered to exercise such power in relation to a national co-operative society.
Multi-State co-operative societies which may be registered.
its bye-laws provide for social and economic betterment of its members through self-help and mutual aid in accordance with the co-operative principles.
The word "limited" or its equivalent in any Indian language shall be suffixed to the name of every multi-State co-operative society registered under this Act with limited liability.
For the purposes of registration of a multi-State co-operative society under this Act, an application shall be made to the Central Registrar in such form and with such particulars as may be prescribed.
one co-operative society each from two States or more or one multi-State co-operative society.
The application shall be accompanied by four copies of the proposed bye-laws of the multi-State co-operative society and the persons by whom or on whose behalf such application is made shall furnish such information in regard to the society as the Central Registrar may require.
that the proposed bye-laws are not contrary to the provisions of this Act and the rules, he may register the multi-State co-operative society and its bye-laws.
The application for registration shall be disposed of by the Central Registrar within a period of four months from the date of receipt thereof by him.
Provided further that if the application for registration is not disposed of within a period of four months specified in sub-section (2) or the Central Registrar fails to communicate the order of refusal within that period, the application shall be deemed to have been accepted for registration and the Central Registrar shall issue the registration certificate in accordance with the provisions of this Act and the rules made there under.
Where a multi-State co-operative society is registered under this Act, the Central Registrar shall issue a certificate of registration signed by him, which shall be conclusive evidence that the society therein mentioned is duly registered under this Act, unless it is proved that the registration of the society has been cancelled.
Multi-State co-operative society to be body corporate.
The registration of a multi-State co-operative society shall render it a body corporate by the name under which it is registered having perpetual succession and a common seal, and with power t acquire, hold and dispose of property, both movable and immovable, enter into contract, institute and defend suits and other legal proceedings and to do all things necessary for the purpose for which it is constituted, and shall, by the said name, sue o be sued.
All transactions entered into in good faith prior to the registration of a multi-State co-operative society shall be deemed to be its transactions after registration for furtherance of the objects of its registration.
Bye-laws of multi-State co-operative societies.
Every multi-State co-operative society may make its bye-laws consistent with the provisions of this Act and the rules made there under.
Amendment of bye-laws of a multi-State co-operative society.
No amendment of any bye-law of a multi-State co-operative society shall be valid, unless such amendment has been registered under this Act.
The amendment to the bye-laws of a multi-State co-operative society shall be made by a resolution passed by a two-third majority of the members present and voting at general meeting of the society.
No such resolution shall be valid unless fifteen clear days' notice of the proposed amendment has been given to the members.
any other particular which may be required by the Central Registrar in this behalf.
Every such application shall be made within sixty days from the date of the general meeting at which such amendment to the bye-laws was passed.
The procedure given in sub-sections (2) to (5) of this section shall apply to the amendment of the bye-laws of a co-operative society desiring to convert itself into a multi-State co-operative society as per the provisions of section 22.
will promote the economic interests of the members of the multi-State co-operative society, he may register the amendment within a period of three months from the date of receipt thereof by him.
The Central Registrar shall forward to the multi-State co-operative society a copy of the registered amendment together with a certificate signed by him within a period of one month from the date of registration thereof and such certificate shall be conclusive evidence that the amendment has been duly registered.
Provided that if the application for registration is not disposed of within a period of three months specified in sub-section (7) or the Central Registrar fails to communicate the order of refusal within that period, the application shall be deemed to ha e been accepted for registration and the Central Registrar shall issue registration certificate in accordance with the provisions of this Act.
When amendment of bye-laws comes into force.
An amendment of the bye-laws of a multi-State co-operative society shall, unless it is expressed to come into operation on a particular day, come into force on the day on which it is registered.
A multi-State co-operative society may, by an amendment of its bye-laws, change its name but such change shall not affect any right or obligation of the multi-State co-operative society or of any of its members or past members, an any legal proceedings which might have been continued or commenced by or against the multi-State co-operative society by its former name, may be continued or commenced by or against its new name.
Where a multi-State co-operative society changes its name, the Central Registrar shall enter the new name on the register of multi-State co-operative society in place of the former name and shall amend the certificate of registration accordingly.
Every multi-State co-operative society shall have a principal place of business and an address registered in the manner prescribed to which all notices and communications may be sent.
Publication of name by multi-State co-operative society.
shall have its name and the address of its registered office mentioned in legible characters in all its business letters, in all its bill heads and letter paper, and in all its notices and other official publications; and also have its name so mentioned in all bills of exchange, hundies, promissory notes, endorsements, cheques and orders for money or goods purporting to be signed by or on behalf of the multi-State co-operative society, and in all bills of parcels, invoices, receipts and letters of credit of the multi-State co-operative society.
Provided that where a multi-State co-operative society with unlimited liability was functioning before the commencement of this Act, such a society shall exercise the option within a period of one year from such commencement either to continue to function as such or to convert itself into a multi-State co-operative society with limited liability by following the procedure specified in sub-sections (2) to (4).
Subject to the provisions of this Act and the rules, a multi-State co-operative society may, by an amendment of its bye-laws, change the extent of its liability.
When a multi-State co-operative society has passed a resolution to change the extent of its liability, it shall give notice thereof in writing to all its members and creditors, and, notwithstanding anything contained in the bye-laws or contract to the contrary, any member or creditor shall, during the period of one month from the date of service of the notice upon him, have the option of withdrawing his shares, deposits or loans, as the case may be.
Any member or creditor who does not exercise his option within the period specified in sub-section (3) shall be deemed to have assented to the change.
all claims of members and creditors who exercise the option referred to in sub-section (3) within the period specified therein have been met in full or otherwise satisfied.
Amalgamation or transfer of assets and liabilities, or division of multi-State co-operative societies.
divide itself into two or more co-operative societies.
Any two or more multi-State co-operative societies may, by a resolution passed by a majority of not less than two-thirds of the members present and voting at a general meeting of each such society, amalgamate themselves and form a new multi-State co-operative society.
The resolution of a multi-State co-operative society under sub-section (1) or sub-section (2) shall contain all particulars of the transfer or division or amalgamation, as the case may be.
When a multi-State co-operative society has passed a resolution under sub-section (1) or sub-section (2), it shall give notice thereof in writing to all the members and creditors, and, notwithstanding anything contained in the bye-laws or contract to the contrary, any member or creditor shall, during the period of one month of the date of service of the notice upon him, have the option of withdrawing his shares, deposits or loans, as the case may be.
Any member or creditor who does not exercise his option within the period specified in sub-section (4) shall be deemed to have assented to the proposals contained in the resolution.
A resolution passed by a multi-State co-operative society under this section shall not take effect until the assent thereto of all the members and creditors has been obtained.
The multi-State co-operative society shall make arrangements for meeting in full or otherwise satisfying all claims of the members and creditors who exercise the option within the period specified in sub-section (4).
On receipt of an application for the registration of new societies formed by division in accordance with the resolution passed under sub-section (1) or of a new society formed by amalgamation in accordance with the resolution passed under sub-section (2), the Central Registrar, on being satisfied that the resolution has become effective under sub-section (6) shall, unless for reasons to be recorded in writing he thinks fit to refuse so to do, register the new society or societies, as the case may be, and the bye-laws thereof.
On the issue of an order under sub-section (7), the provisions of section 21 shall, so far as may be, apply to the multi-State co-operative society so divided or the multi-State co-operative societies so amalgamated.
Where a resolution passed by a multi-State co-operative society under this section involves the transfer of any assets and liabilities, the resolution shall, notwithstanding anything contained in any other law for the time being in force, be a sufficient conveyance to vest the assets and liabilities in the transferee without any further assurance.
Central Registrar to prepare scheme of amalgamation or reorganization of a co-operative bank in certain cases.
for the reorganisation of the co-operative bank.
Any multi-State co-operative society may, by a resolution passed at general meeting by a majority of members present and voting, promote one or more subsidiary institutions, which may be registered under any l w for the time being in force, for the furtherance of its stated objects.
a subsidiary institution shall not include a partnership firm.
The annual reports and accounts of any such subsidiary institution shall be placed each year before general meeting of the promoting multi-State co-operative society.
Liability of a co-operative bank to Deposit Insurance and Credit Guarantee Corporation.
Notwithstanding anything contained in section 17 or any other provision of this Act, where a co-operative bank, being an insured bank within the meaning of the Deposit Insurance and Credit Guarantee Corporation Act, 1961 (47 of 1961), is amalgamated or reorganised and the Deposit Insurance Corporation has become liable to pay to the depositors of the insured bank under sub-section (2) of section 16 of that Act, the bank with which such insured bank is amalgamated or the new co-operative bank formed after such amalgamation, or, as the case may be, the insured bank or transferee bank shall be under an obligation to repay to the Deposit Insurance Corporation in the circumstances, to the extent and in the manner referred to in section 21 of the Deposit Insurance and Credit Guarantee Corporation Act, 1961.
Cancellation of registration certificate of multi-State co-operative societies in certain cases.
Where the whole of the assets and liabilities of a multi-State co-operative society are transferred to another multi-State co-operative society or to a co-operative society in accordance with the provisions of section 17, the registration of the first-mentioned multi-State co-operative society shall stand cancelled and the society shall be deemed to have been dissolved and shall cease to exist as a corporate body.
Where two or more multi-State co-operative societies are into a new multi-State co-operative society in accordance with the provisions of section 17, the registration of each of the amalgamating societies shall stand cancelled on the registration of the new society, and each of the amalgamating societies shall be deemed to have been dissolved and shall cease to exist as a corporate body.
Where a multi-State co-operative society divides itself into two or more multi-State co-operative societies or two or more co-operative societies in accordance with the provisions of section 17, the registration of that society shall stand cancelled n the registration of the new societies, and that society shall be deemed to have been dissolved and shall cease to exist as a corporate body.
The amalgamation or division of multi-State co-operative societies shall not in any manner whatsoever affect any right or obligation of the resulting multi-State co-operative society or societies or render defective any legal proceedings by or again the multi-State co-operative society or societies, and any legal proceedings that might have been continued or commenced by or against the multi-State co-operative society or societies, as the case may be, before the amalgamation or division, may be con inued or commenced by or against the resulting multi-State co-operative society or societies.
Conversion of a co-operative society into a multi-State co-operative society.
A co-operative society may, by an amendment of its bye-laws, extend its jurisdiction and convert itself into a multi-State co-operative society: Provided that no such amendment of bye-laws of a co-operative society shall be valid unless it has been registered by the Central Registrar.
Every proposal for such amendment of bye-laws shall be forwarded to the Central Registrar in accordance with the provisions contained in sub-section (4) of section 11.
Provided that no co-operative society shall be deemed to have been converted into a multi-State co-operative society on any ground whatsoever unless such society is registered as a multi-State co-operative society.
The Central Registrar shall forward to the co-operative society a copy of the registered amendment together with a certificate signed by him and such certificate shall be conclusive evidence that the amendment has been registered.
Where the Central Registrar refuses to register an amendment of the bye-laws of a co-operative society, he shall communicate the order of refusal together with the reasons therefore to the society in the manner prescribed within seven days from the date of refusal.
Once the amendment of bye-laws has been registered by the Central Registrar, the co-operative society shall, as from the date of registration of amendment, become a multi-State co-operative society.
The Central Registrar shall forward to the co-operative society a certificate signed by him to the effect that such society has been registered as a multi-State co-operative society under this Act and also forward a copy of the same to the Registrar f Co-operative Societies of the State concerned.
The Registrar of Co-operative Societies referred to in clause (b) shall thereupon make an order directing that the society had, as from the date of registration by the Central Registrar, ceased to be a society under the law relating to co-operative societies in force in that State.