Novel Bayesian Methods for the Analysis of Imaging Data

Thu, Aug 8, 8:30 AM - 10:20 AM

Jeremy RubinChair

Section on Statistics in Imaging

6 Presentations

A Bayesian Approach to Fused GRAPPA and SENSE MR Image Reconstruction

8:35 AM - 8:50 AM

Chase Sakitis (Marquette University)

Co-authors: Daniel Rowe (Marquette University)

A Bayesian Time-varying Psychophysiological Interaction Model for fMRI Data

8:50 AM - 9:05 AM

Brian Schetzsle (University Of California Irvine)

Co-authors: Jaylen Lee (University of California, Irvine), Aaron Bornstein (UC Irvine), Babak Shahbaba (UCI), Michele Guindani (University of California-Los Angeles)

An MCMC Approach to Bayesian Image Analysis in Fourier Space

9:05 AM - 9:20 AM

Konstantinos Bakas

Co-authors: Hernando Ombao (King Abdullah University of Science and Technology), John Kornak (University of California-San Francisco)

Bayesian Inference for Point Patterns in Space, applied to Multiplex Imaging data

9:20 AM - 9:35 AM

Sagnik Bhadury (University of Michigan)

Co-authors: Joel Eliason, Michele Peruzzi (University of Michigan), Arvind Rao (University of Michigan)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies

9:35 AM - 9:50 AM

Jaylen Lee (University of California, Irvine)

Co-authors: Federica Zoe Ricci (University of California Irvine), Michele Guindani (University of California-Los Angeles), Marina Vannucci (Rice University), Megan A.K Peters (University of California, Irvine), Sana Hussain (University of California, Riverside), Erik Sudderth (University of California, Berkeley)

High-dimensional Bayesian Semiparametric Functional Joint Model and a Global-Local Selection

9:50 AM - 10:05 AM

Soumya Sahu

Co-authors: Sanjib Basu (University of Illinois At Chicago), Jiehuan Sun, Joelle Hallak (Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago; AbbVie)