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Posts classified under: 2016

29Dec

Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta

Morioka C, Meng F, Taira R, Sayre J, Zimmerman P, Ishimitsu D, Huang J, Shen L, El-Saden S. Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta. J Digit Imaging. 2016 Dec;29(6):742-748. doi: 10.1007/s10278-016-9889-6. PMID: 27400914; PMCID: PMC5114229.

21Sep

A Novel Bi-Input Convolutional Neural Network for Deconvolution-Free Estimation of Stroke MR Perfusion Parameters

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.

23Aug

Noise reduction in Arterial Spin Labeling based Functional Connectivity Using Nuisance Variables

Jann K, Smith RX, Rios Piedra EAR, Dapretto M, Wang DJ. Noise Reduction in Arterial Spin Labeling Based Functional Connectivity Using Nuisance Variables. Front Neurosci. 2016 Aug 23;10:371. DOI: 10.3389/fnins.2016.00371. PMID: 27601973; PMCID: PMC4993769.

21Aug

MedicineMaps: A tool for mapping and linking evidence from experimental and clinical trial literature

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.

21Aug

An Investigational Patch-based Convolutional Neural Network Model for the Detection of Clinically Significant Prostate Cancer using Multiparametric MRI

Sarma KV, Zhong X, Ho KC, Margolis DJA, Raman S, Scalzo F, Sung KH, Tan N, Arnold CW. 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.

20Aug

A visualization for clinical trial reports: A usability study

Tong M, Hsu W, Taira RK. A visualization for clinical trial reports: A usability study. AMIA Annu Symp Proc. Chicago, IL; 2016.

10Aug

Using Time-Driven Activity Based Costing (TDABC) to characterize cost variability in interventional radiology procedures

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.

1Aug

GlioView: An application that visualizes variability in brain tumor segmentation to inform the clinical assessment of change

Rios 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.

27Jul

Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network

Petousis P, Han SX, Aberle DR, Bui AAT. Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. Artif Intell Med. 2016 Sep;72:42-55. DOI: 10.1016/j.artmed.2016.07.001. Epub 2016 Jul 27. PMID: 27664507; PMCID: PMC5082434..

22Jul

MP53-05 Performance of 3T multiparameteric MRI in diagnosis of prostate cancer in comparison with whole mount histopathology: A 5 year experience

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. DOI: http://dx.doi.org/10.1016/j.juro.2016.02.502.

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