Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Imaging returned 63 record(s)
|
|
Sunday, 07/29/2018
|
Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
|
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
|
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
|
Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM
|
Statistical Modeling of Brain Networks Using Multimodal Neuroimaging
Ying Guo, Emory University; Yingtian Hu, Emory University
2:05 PM
|
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
2:05 PM
|
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
|
Intermodal Coupling Analytics for Function-Function and Function-Structure Mapping
Russell T Shinohara, University of Pennsylvania
3:20 PM
|
Regularized Aggregation of Statistical Parametric Maps
Cheolwoo Park, University of Georgia; Li-Yu Wang, University of Georgia; Jongik Chung, University of Georgia; Hosik Choi, University of Georiga; Amanda Rodrigue, University of Georgia; Jordan Pierce, University of Georgia; Brett Clementz, University of Georgia; Jennifer McDowell, University of Georgia
3:20 PM
|
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
|
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
|
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
|
Robust Nonparametric Tests for Imaging Databased on Data Depth
Julia Wrobel, Columbia University; Sara Lopez-Pintado, Columbia University
5:05 PM
|
|
Monday, 07/30/2018
|
Flexible Group Difference Tests for Age-Varying Distributions
Philip Reiss, University of Haifa
8:55 AM
|
Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC)
Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:15 AM
|
Fully Bayesian Spectral Methods for Imaging Data
Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Simon Vandekar, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania; Ana-Maria Staicu, NC State University
10:35 AM
|
Statistical Inference for Neuroimaging Genetics
Long Feng, Yale University; Xuan Bi, Yale University; Heping Zhang, Yale University School of Public Health
10:35 AM
|
Dependence Among Spectral-Based Measures Through Copulas: Theoretical Framework and Research on Change-Points
Charles Fontaine, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Yongxin Zhu, King Abdullah University of Science and Technology
10:50 AM
|
Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes
Menghan Hu, Brown University; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:05 AM
|
Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:35 AM
|
Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, UIUC; Xiwei Tang, University of Virginia; Annie Qu, University of Illinois at Urbana-Champaign
12:05 PM
|
Functional Mediation Analysis of Functional Magnetic Resonance Imaging Experiments
Yi Zhao, Johns Hopkins Bloomberg School of Public Health; Xi Luo, Brown University; Martin A Lindquist, Johns Hopkins University; Brian Caffo, Johns Hopkins University
2:05 PM
|
Controlled Automatic Detection of Detects in Dependent Image Data
Ansgar Steland, Institut Fuer Statistik Und Wirtschaftsmathematik RWTH Aachen
3:05 PM
|
Multiscale Scanning in Inverse Problems: Applications to Super-Resolution Microscopy
Frank Werner, Max Planck Institute for Biophysical Chemistry; Axel Munk, University of Goettingen; Katharina Proksch, University of Goettingen
3:05 PM
|
Manifold Data Analysis with Applications to High-Resolution 3D Imaging
Matthew Reimherr, Pennsylvania State University
3:05 PM
|
|
Tuesday, 07/31/2018
|
Advanced Methods in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
|
Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data
Todd Ogden, Columbia University; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
8:35 AM
|
Multimodal Neuroimaging Analysis
Lexin Li, University of California at Berkeley
9:00 AM
|
Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression
Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:15 AM
|
Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization
Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:25 AM
|
New Approaches Towards Translational Neuroimaging
Martin A Lindquist, Johns Hopkins University
9:50 AM
|
A Statistical View on Optimal Transport: Inference, Algorithms, Applications
Axel Munk, University of Goettingen; Joern Schrieber, Department for Mathematics and Computer Science; Max Sommerfeld, Department for Mathematics and Computer Science; Carla Tameling, Department for Mathematics and Computer Science
2:05 PM
|
Quantifying the Reliability of Image Replication Studies
Ciprian Crainiceanu, Johns Hopkins University
2:05 PM
|
Reproducibility in Functional Neuroimaging Studies Through the Lens of Multiplicity
Nicole Lazar, University of Georgia
2:25 PM
|
Neuroconductor: An R Platform for Medical Imaging Analysis"
John Muschelli, Johns Hopkins University
2:45 PM
|
Reproducibility of FDG-PET Standardized Uptake Value (SUV) for Use as an Integral Biomarker in Clinical Trials
Brenda Kurland, University of Pittsburgh
3:05 PM
|
|
Wednesday, 08/01/2018
|
Estimation of the Linearity Point in Graphical Analysis
Anastasia Dmitrienko, Columbia University; Francesca Zanderigo, Columbia University; Yuichi Kimura, National Institute of Radiological Sciences; Robert Todd Ogden, Columbia University
|
Analyzing Bias in Object Detection Data Sets
Meera Haridasa, Purdue University; Cailey Farrell, Purdue University
|
Fast Bayesian Sparse Learning via Thresholding Priors
Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan
|
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
|
Genetic Analysis of Imaging Data Using Random-Effect Tensor Regression
Tong Shen, University of California, Irvine
|
Exact Spike Train Inference via $\Ell_0$ Optimization
Daniela Witten, University of Washington; Sean Jewell, University of Washington
8:55 AM
|
Deep Learning in Medical Imaging: Evaluation and Study Design
Robyn Ball, Stanford University; David Larson, Stanford University; Pranav Rajpurkar, Stanford University; Matthew Chen, Nines AI; Jeremy Irvin, Stanford University; Jaden Yang, Stanford University; Matthew P Lungren, Stanford University
9:20 AM
|
Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
|
Longitudinal Independent Component Modeling Framework for fMRI Decomposition
Yikai Wang, Emory University; Ying Guo, Emory University
10:35 AM
|
Discovering Depression Subtypes with High-Dimensional Eigenvalue Estimation on Resting-State fMRI Data
Samprit Banerjee, Weill Medical College, Cornell University
10:35 AM
|
Adaptive Mantel Test for Penalized Inference, with Applications to Imaging Genetics
Dustin Pluta, University of California, Irvine; Tong Shen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology; Zhaoxia Yu, University of California, Irvine
10:55 AM
|
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
|
Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute; Eva Petkova, NYU School of Medicine
11:15 AM
|
On Statistical Inference in Factorial Multi-Reader Studies Using Bootstrap
Andriy Bandos, University of Pittsburgh
11:20 AM
|
Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
11:50 AM
|
Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:05 PM
|
Genetic Correlations Between Imaging Traits and Common Diseases
Hongyu Zhao, Yale
2:05 PM
|
Robust Outlier Detection for Low and High-Dimensional Neuroimaging Data with Principal Components Analysis and Split-Half Resampling
Derek Beaton, Baycrest Health Sciences; Kelly M Sunderland, Baycrest Health Sciences; Abiramy Uthirakumaran, Baycrest Health Sciences; Stephen R Arnott, Baycrest Health Sciences; Robert Bartha, Robarts Research; Sandra E Black, Sunnybrook Health Sciences Centre; Leanne Casaubon, Krembil Research Institute; Morris Freedman, Baycrest Health Sciences; Richard H Swartz, Sunnybrook Health Sciences Centre; Sean Symons, Sunnybrook Health Sciences Centre; ONDRI Investigators, ONDRI; Malcolm A Binns, Baycrest Health Sciences; Stephen C Strother, Baycrest Health Sciences
2:05 PM
|
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
|
Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases
Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
2:55 PM
|
|
Thursday, 08/02/2018
|
A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM
|
Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM
|
Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data
Ivor Cribben, University of Alberta
9:35 AM
|
Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
|
Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM
|
Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:15 AM
|
Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:35 AM
|
|
|
