TP6b3.2

Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis

Francisco Laport, University of Maryland Baltimore County, CITIC Research Center University of A Coruña, United States; Trung Vu, Hanlu Yang, University of Maryland Baltimore County, United States; Vince Calhoun, Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, United States; Tülay Adali, University of Maryland Baltimore County, United States
Session:
TP6b3: Biomedical Signal and Image Processing Poster
Track:
Biomedical Signal and Image Processing
Location:
Kiln
Presentation Time:
Tue, 31 Oct, 15:30 - 17:35 PT (UTC -7)
Session Chair:
Patrick Purdon, Stanford University
Presentation
Discussion
Resources
No resources available.
Session TP6b3
TP6b3.1: Regression-Assisted Independent Vector Analysis: A Solution to Large-Scale fMRI Data Analysis
Hanlu Yang, Ben Gabrielson, University of Maryland Baltimore County, United States; Vince Calhoun, Georgia State University, Georgia Institute of Technology, and Emory University, United States; Tülay Adali, University of Maryland Baltimore County, United States
TP6b3.2: Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis
Francisco Laport, University of Maryland Baltimore County, CITIC Research Center University of A Coruña, United States; Trung Vu, Hanlu Yang, University of Maryland Baltimore County, United States; Vince Calhoun, Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, United States; Tülay Adali, University of Maryland Baltimore County, United States
TP6b3.3: Biophysics of Amplitude-Modulated Giga-hertz Electromagnetic Waves Stimulation
Fatima Ahsan, Aravind C. Govindaraju, Robert M. Raphael, Taiyun Chi, Rice University, United States; Sameer A. Sheth, Wayne Goodman, Baylor College of Medicine, United States; Behnaam Aazhang, Rice University, United States
TP6b3.4: Generalizing and Mapping Actigraphy Based Sleep Detection Algorithms
Christopher Felton, Kaylah Berndt, Michelle Grady, David Holmes, Clifton Haider, Mayo Clinic, United States
TP6b3.5: Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data using ICA and IVA
Isabell Lehmann, Paderborn University, Germany; Tülay Adali, University of Maryland, Baltimore County, United States; Pieter Kruizinga, Erasmus MC, Netherlands; Borbála Hunyadi, TU Delft, Netherlands
TP6b3.6: Channel Reduction Approaches in Deep Learning for Brain-Computer Interfaces
Soren Madsen, Justin Goh, Sally Wood, Santa Clara University, United States
TP6b3.7: Multilevel State-Space Models Enable High Precision Event Related Potential Analysis
Proloy Das, Stanford University, United States; Mingjian He, Massachusetts Institute of Technology, United States; Patrick L. Purdon, Stanford University, United States
Contacts