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Yuhui Du
Yong Fan

NeuroImage

Showing results (1-10 of 27) with videos related to

Pageof 3
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Neuroimage|December 1, 2012
Group information guided ICA for fMRI data analysisYuhui Du, Yong Fan
Neuroimage|June 4, 2013
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patternsDi Jiang, Yuhui Du, Hewei Cheng, et al.
Neuroimage|September 9, 2024
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophreniaYing Xing, Godfrey D Pearlson, Peter Kochunov, et al.
Neuroimage|July 31, 2019
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networksHongming Li, Yong Fan
Neuroimage|November 26, 2008
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNIChandan Misra, Yong Fan, Christos Davatzikos
Neuroimage|May 10, 2017
Large-scale sparse functional networks from resting state fMRIHongming Li, Theodore D Satterthwaite, Yong Fan
Neuroimage|July 29, 2015
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disordersYuhui Du, Godfrey D Pearlson, Jingyu Liu, et al.
Neuroimage|January 9, 2010
High-dimensional pattern regression using machine learning: from medical images to continuous clinical variablesYing Wang, Yong Fan, Priyanka Bhatt, et al.
Neuroimage|October 24, 2022
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learningHongming Li, Zhi-De Deng, Desmond Oathes, et al.
Neuroimage|December 7, 2007
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive declineYong Fan, Nematollah Batmanghelich, Chris M Clark, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Neuroimage|December 1, 2012
Group information guided ICA for fMRI data analysisYuhui Du, Yong Fan
Neuroimage|June 4, 2013
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patternsDi Jiang, Yuhui Du, Hewei Cheng, et al.
Neuroimage|September 9, 2024
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophreniaYing Xing, Godfrey D Pearlson, Peter Kochunov, et al.
Neuroimage|July 31, 2019
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networksHongming Li, Yong Fan
Neuroimage|November 26, 2008
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNIChandan Misra, Yong Fan, Christos Davatzikos
Neuroimage|May 10, 2017
Large-scale sparse functional networks from resting state fMRIHongming Li, Theodore D Satterthwaite, Yong Fan
Neuroimage|July 29, 2015
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disordersYuhui Du, Godfrey D Pearlson, Jingyu Liu, et al.
Neuroimage|January 9, 2010
High-dimensional pattern regression using machine learning: from medical images to continuous clinical variablesYing Wang, Yong Fan, Priyanka Bhatt, et al.
Neuroimage|October 24, 2022
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learningHongming Li, Zhi-De Deng, Desmond Oathes, et al.
Neuroimage|December 7, 2007
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive declineYong Fan, Nematollah Batmanghelich, Chris M Clark, et al.
Pageof 3