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Keyword Search Criteria: MRI returned 37 record(s)
Sunday, 07/30/2017
Template-Based Independent Component Analysis of fMRI: Reliable and Efficient Estimation of Subject-Level Resting-State Networks
Amanda Mejia, Indiana University; Ying Guo, Emory University
2:05 PM

A Longitudinal Model for Functional Connectivity Using fMRI
Brian Hart, University of Minnesota-Div of Biostatistics; Ivor Cribben, University of Alberta; Mark Fiecas, University of Minnesota
4:05 PM

The Effects of White Matter Disease on the Automated Brain Segmentation in an Alzheimer's Disease Population
Dana Tudorascu; Helmet Karim, University of Pittsburgh; Lea Alhilali, Barrow Neurological Institute, ; Oscar Lopez, University of Pittsburgh; Howard Aizenstein, University of Pittsburgh; Bill Klunk, University of Pittsburgh; Ciprian M Crainiceanu, Johns Hopkins University
4:05 PM

Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data
Suprateek Kundu, Emory University, Rollins School of Public Health
4:25 PM

Multivariate Analysis of Functional Magnetic Resonance Imaging (fMRI) Data
Abera Wouhib, NIMH/NIH
5:20 PM

Evaluation of Brain Activation Changes in Functional Magnetic Resonance Imaging Data Using Cluster Analysis
Arunava Samaddar, University of Georgia
5:35 PM

Monday, 07/31/2017
Challenges and Opportunities in Functional Neuroimaging
Nicole Lazar, University of Georgia


A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico


A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
8:50 AM

A Bayesian Approach to SENSE Image Reconstruction in fMRI
Daniel B. Rowe, Marquette University
10:35 AM

A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics
Stephen Strother, Baycrest & University of Toronto; Cheryl Grady, Baycrest & University of Toronto
11:00 AM

Classification Using the Morlet Transform for fMRI Data
Debashis Ghosh, Colorado School of Public Health; Manish Dalwani, Colorado School of Medicine
11:25 AM

Computational Learning Methods for Neuroimaging Data Analysis
Don Hong, Middle Tennessee State Univ; Xin Yang, Southern Arkansas University; Jingsai Liang, Middle Tennessee State University
11:35 AM

Structure-Function Coupling in Multimodal Neuroimaging
Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania; David Roalf, University of Pennsylvania; Theodore Satterthwaite, Univ of Pennsylvania; Simon Vandekar, University of Pennsylvania
2:05 PM

Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data
Ciprian M Crainiceanu, Johns Hopkins University
2:05 PM

High-Dimensional Multivariate Mediation with Application to Neuroimaging Data
Martin Lindquist, Johns Hopkins University
2:30 PM

Tuesday, 08/01/2017
Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan


Development of a Multi-Parametric MR Classifier for Prostate Cancer
Joseph Koopmeiners, University of Minnesota; Jin Jin, University of Minnesota; Lin Zhang, University of Minnesota; Ethan Leng, University of Minnesta; Greg Metzger, University of Minnesta
9:00 AM

Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM

Application of a Global Bayes Factor Detect a Brain Region Activation
Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado; HasniIdayu Saidi, University of Northern Colorado
10:35 AM

Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel B. Rowe, Marquette University
11:05 AM

A New Unified ICA Framework for Decomposing Multimodal Neuroimaging Data
Ying Guo, Emory University; Subhadip Pal, Emory University; Jian Kang, University of Michigan
11:25 AM

MIMoSA: Method for Inter-Modal Segmentation Analysis
Alessandra Valcarcel, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Simon Vandekar, University of Pennsylvania; Theodore Satterthwaite, Univ of Pennsylvania; Peter A Calabresi, The Johns Hopkins University; Russell Taki Shionhara, UPenn
11:35 AM

A LAG FUNCTIONAL LINEAR MODEL for PREDICTION of MAGNETIZATION TRANSFER RATIO in MULTIPLE SCLEROSIS LESIONS
Gina-Maria Pomann, Duke University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Edgar Lobaton, North Carolina State University ; Amanda Mejia, Indiana University; Blake Dewey, NINDS; Daniel Reich, NINDS; Elizabeth M. Sweeney, Flatiron Health; Russell Shinohara, University of Pennsylvania
11:50 AM

FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Ranjan Maitra, Iowa State University; Israel Almodovar-Rivera, University of Puerto Rico
11:50 AM

Bayesian Approaches for Modeling Functional Connectivity in Neuroimaging
Sanjib Basu, University of Illinois At Chicago; Nairita Ghosal, University of Illinois at Chicago
11:55 AM

Control of False-Positive Rates in Clusterwise fMRI Inferences
Jiangtao Gou, Hunter College of CUNY; Fengqing Zhang, Drexel University
12:05 PM

Conditional Models for Longitudinal Data with a Temrinal Event
Bin Nan, University of Michigan; Shengchun Kong, Gilead Sciences, Inc; John Kalbfleisch, University of Michigan
2:05 PM

A Random Effects Stochastic Block Model for Community Detection in Multiple Networks with Applications to Neuroimaging Studies
Subhadeep Paul, University of Illinois At Urbana Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
2:25 PM

A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM

Wednesday, 08/02/2017
Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data
Brian Scott Caffo, Johns Hopkins; Zeyi Wang, Johns Hopkins; Ciprian M Crainiceanu, Johns Hopkins University; Martin Lindquist, Johns Hopkins University; Jim Pekar, Johns Hopkins; Joshua Vogelstein, Johns Hopkins; Haris Sair, Johns Hopkins
11:25 AM

Experimental Design in Longitudinal MRI for Multiple Sclerosis
Menghan Hu, Brown University; Ani Eloyan, Brown University; Matthew Schindler, NIH, NINDS; Daniel Reich, NINDS; Russell Taki Shionhara, UPenn; Blake Dewey, Johns Hopkins Whiting School of Engineering
11:50 AM

Bayesian Approaches for Inference on Brain Connectivity Networks
Marina Vannucci, Rice University
2:05 PM

A Moment Estimator for the GARCH-DCC Model: An Algorithm for Estimating Dynamic Functional Connectivity in High-Dimensional fMRI Data
Yuting Xu, Johns Hopkins Bloomberg SPH; Martin Lindquist, Johns Hopkins University
2:05 PM

Longitudinal Independent Component Analysis with Application to fMRI Data
Yikai Wang, Emory University; Ying Guo, Emory University
3:05 PM

Thursday, 08/03/2017
Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
Sheng Luo, The University of Texas Health Science Center at Houston; Kan Li, The University of Texas Health Science Center at Houston
8:55 AM

Non-parametric Association Testing of fMRI Functional Connectivity and Genetic Similarity
Dustin Pluta, University of California, Irvine; Hernando Ombao, KAUST and UC Irvine; Zhaoxia Yu, University of California, Irvine; Tong Shen, University of California, Irvine
11:35 AM

 
 
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