Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: MRI returned 40 record(s)
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Sunday, 07/29/2018
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Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
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Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
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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
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Statistical Modeling of Brain Networks Using Multimodal Neuroimaging
Ying Guo, Emory University; Yingtian Hu, Emory University
2:05 PM
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Template ICA: Estimating Resting-State Networks from fMRI in Individual Subjects Using Empirical Population Priors
Amanda Mejia, Indiana University; Yikai Wang, Emory University; Brian Caffo, Johns Hopkins University; Ying Guo, Emory University
2:30 PM
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Efficient Analysis for fMRI Studies
Lan Liu, University of Minnesota at Twin Cities
2:35 PM
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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
2:40 PM
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:00 PM
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Intermodal Coupling Analytics for Function-Function and Function-Structure Mapping
Russell T Shinohara, University of Pennsylvania
3:20 PM
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Simulation of fMRI Data, a Complex-Valued Representation
Kevin Liu, Marquette University; Daniel Rowe, Marquette University
4:05 PM
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Bayesian Image Analysis in Fourier Space for MRI Data
John Kornak, University of California, San Francisco; Karl Young, University of California, San Francisco (retired)
4:25 PM
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Statistical Impacts of Reconstruction Method in Simultaneous Multislice Acquisition of fMRI
Benjamin Risk, Emory University; Mary Kociuba, University of Washington; Daniel Rowe, Marquette University
4:45 PM
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A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Yu Yue, Baruch College, CUNY; Amanda Mejia, Indiana University; David Bolin, Gothenburg University; Finn Lindgren, The University of Edinburgh; Martin A Lindquist, Johns Hopkins University
5:05 PM
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Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM
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The Past, Present, and Future of Complex-Valued fMRI Activation
Daniel Rowe, Marquette University
5:25 PM
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Monday, 07/30/2018
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Functional Graphical Model Classification
Peide Li
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Variation of Functional Connectome Topology and Its Implications for Attention
Kelson Zawack, Yale University
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Composite Endpoints for Alzheimer's Disease Clinical Trials
Steve Edland, University of California, San Diego
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Signal Detection in Brain fMRI Using Global Bayes Factor for Rotation-Space Random Field
Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
11:20 AM
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Frechet Estimation of Dynamic Covariance Matrices, with Application to Regional Myelination in the Developing Brain
Alexander Petersen, University of California, Santa Barbara; Hans Mueller, UC Davis; Sean Deoni, Brown University
2:20 PM
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Gradient Synchronization to Quantify Brain Functional Connectivity
Jane-Ling Wang, Univ of California-Davis; Yang Zhou, UC Davis; Hans Mueller, UC Davis; Owen Carmichael, Pennington Biomedical Research Center
2:25 PM
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Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:35 PM
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Analysis of Resting-State Functional Brain Connectivity Using a Hierarchical Bayesian Mixture Model
Anders Lundquist, Umea University; Tetiana Gorbach, Umeå University; Xavier de Luna, Umeå University; Lars Nyberg, Umeå University; Alireza Salami, Karolinska Institute
3:05 PM
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Tuesday, 07/31/2018
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Analytic White Matter Tractography and Compositional Distance-Based Summarization of White Matter Brain Structures
Wendy Meiring, University of California, Santa Barbara; Matthew Cieslak, UCSB; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton, UCSB
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Consistency of Spectral Clustering in fMRI data
Jessie Moon, FDA
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Sparse Causal Dynamic Network Modeling of fMRI
Xuefei Cao, Brown University; Xi Luo, Brown University; Bjorn Sandstede, Brown University
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Nonlinear Support Vector Machine for Multivariate Functional Data with Applications to fMRI and EEG Data Analysis
Zheye Yuan, Penn State Univ; Bing Li, The Pennsylvania State University
9:35 AM
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New Approaches Towards Translational Neuroimaging
Martin A Lindquist, Johns Hopkins University
9:50 AM
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Wednesday, 08/01/2018
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Switching Regimes Time Series Models with Application to Changes Brain Connectivity in an fMRI-Movie Experiment
Marco Antonio Pinto-Orellana, Statistics, CEMSE Division. King Abdullah University of Science and Technology; Chee-Ming Ting, King Abdullah University of Science and Technology; Jeremy Skipper, Institute for Multimodal Communication. University College London; Steven Small, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
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An Automated Probabilistic Algorithm for the Detection of Central Vein Sign in Multiple Sclerosis
Jordan Dworkin, University of Pennsylvania; Pascal Sati, National Institute of Neurological Disorders and Stroke; Andrew Solomon, University of Vermont; Dzung Pham, Henry M. Jackson Foundation; Richard Watts, University of Vermont; Melissa Martin, University of Pennsylvania; Daniel Ontaneda, Cleveland Clinic; Matthew K Schindler, National Institute of Neurological Disorders and Stroke; Daniel S Reich, National Institute of Neurological Disorders and Stroke; Russell T Shinohara, University of Pennsylvania
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Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
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Longitudinal Independent Component Modeling Framework for fMRI Decomposition
Yikai Wang, Emory University; Ying Guo, Emory University
10:35 AM
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Discovering Depression Subtypes with High-Dimensional Eigenvalue Estimation on Resting-State fMRI Data
Samprit Banerjee, Weill Medical College, Cornell University
10:35 AM
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FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Israel Almodovar-Rivera, University of Puerto Rico-Medical Science Campus; Ranjan Maitra, Iowa State University
10:50 AM
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A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
10:55 AM
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Combining (Epi)Genetic and Imaging Data with Multivariate Data-Driven Models
Vince Calhoun, The Mind Research Network & The University of New Mexico
2:30 PM
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