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Frontiers in Neuroscience
|
February 16, 2023
Quality control practices in FMRI analysis: Philosophy, methods and examples using AFNI
Richard C Reynolds, Paul A Taylor, Daniel R Glen
Journal of Pediatric Gastroenterology and Nutrition
|
April 20, 2011
Temporal association of polysomnographic cardiorespiratory events with GER detected by MII-pH probe in the premature infant at term
Jeanne Nunez, Elizabeth Cristofalo, Brian McGinley, et al.
Brain Connectivity
|
April 12, 2017
FMRI Clustering in AFNI: False-Positive Rates Redux
Robert W Cox, Gang Chen, Daniel R Glen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 20, 2017
fMRI clustering and false-positive rates
Robert W Cox, Gang Chen, Daniel R Glen, et al.
Frontiers in Neuroinformatics
|
June 13, 2020
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI
Daniel R Glen, Paul A Taylor, Bradley R Buchsbaum, et al.
Frontiers in Neuroscience
|
June 16, 2023
Editorial: Demonstrating quality control (QC) procedures in fMRI
Paul A Taylor, Daniel R Glen, Richard C Reynolds, et al.
Neuroimage
|
November 4, 2008
A new method for improving functional-to-structural MRI alignment using local Pearson correlation
Ziad S Saad, Daniel R Glen, Gang Chen, et al.
Journal of Neuroscience Methods
|
March 20, 2024
Improving 3D edge detection for visual inspection of MRI coregistration and alignment
Chris Rorden, Taylor Hanayik, Daniel R Glen, et al.
Arxiv
|
October 14, 2024
Processing, evaluating and understanding FMRI data with afni_proc.py
Richard C Reynolds, Daniel R Glen, Gang Chen, et al.
Human Brain Mapping
|
September 29, 2018
A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t-tests
Gang Chen, Robert W Cox, Daniel R Glen, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 26) with videos related to
Sort By:
Page
of 3
Frontiers in Neuroscience
|
February 16, 2023
Quality control practices in FMRI analysis: Philosophy, methods and examples using AFNI
Richard C Reynolds, Paul A Taylor, Daniel R Glen
Journal of Pediatric Gastroenterology and Nutrition
|
April 20, 2011
Temporal association of polysomnographic cardiorespiratory events with GER detected by MII-pH probe in the premature infant at term
Jeanne Nunez, Elizabeth Cristofalo, Brian McGinley, et al.
Brain Connectivity
|
April 12, 2017
FMRI Clustering in AFNI: False-Positive Rates Redux
Robert W Cox, Gang Chen, Daniel R Glen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 20, 2017
fMRI clustering and false-positive rates
Robert W Cox, Gang Chen, Daniel R Glen, et al.
Frontiers in Neuroinformatics
|
June 13, 2020
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI
Daniel R Glen, Paul A Taylor, Bradley R Buchsbaum, et al.
Frontiers in Neuroscience
|
June 16, 2023
Editorial: Demonstrating quality control (QC) procedures in fMRI
Paul A Taylor, Daniel R Glen, Richard C Reynolds, et al.
Neuroimage
|
November 4, 2008
A new method for improving functional-to-structural MRI alignment using local Pearson correlation
Ziad S Saad, Daniel R Glen, Gang Chen, et al.
Journal of Neuroscience Methods
|
March 20, 2024
Improving 3D edge detection for visual inspection of MRI coregistration and alignment
Chris Rorden, Taylor Hanayik, Daniel R Glen, et al.
Arxiv
|
October 14, 2024
Processing, evaluating and understanding FMRI data with afni_proc.py
Richard C Reynolds, Daniel R Glen, Gang Chen, et al.
Human Brain Mapping
|
September 29, 2018
A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t-tests
Gang Chen, Robert W Cox, Daniel R Glen, et al.
Page
of 3