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Jing Sui
Jing Sui
Professor, State Key Lab of Cognitive Neuroscience & Learning, BNU
Verified email at bnu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
MR Arbabshirani, S Plis, J Sui, VD Calhoun
Neuroimage 145, 137-165, 2017
9432017
Multimodal fusion of brain imaging data: a key to finding the missing link (s) in complex mental illness
VD Calhoun, J Sui
Biological psychiatry: cognitive neuroscience and neuroimaging 1 (3), 230-244, 2016
4712016
A review of multivariate methods for multimodal fusion of brain imaging data
J Sui, T Adali, Q Yu, J Chen, VD Calhoun
Journal of neuroscience methods 204 (1), 68-81, 2012
4412012
Machine learning in major depression: From classification to treatment outcome prediction
S Gao, VD Calhoun, J Sui
CNS neuroscience & therapeutics 24 (11), 1037-1052, 2018
3312018
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ...
NeuroImage: Clinical 28, 102375, 2020
2862020
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder
VD Calhoun, J Sui, K Kiehl, J Turner, E Allen, G Pearlson
Frontiers in Psychiatry 2, 75, 2012
2822012
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model
J Sui, G Pearlson, A Caprihan, T Adali, KA Kiehl, J Liu, J Yamamoto, ...
Neuroimage 57 (3), 839-855, 2011
2782011
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
J Sui, R Jiang, J Bustillo, V Calhoun
Biological psychiatry 88 (11), 818-828, 2020
2742020
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia
Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ...
Neuroimage 107, 345-355, 2015
2522015
A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia
H Yang, J Liu, J Sui, G Pearlson, VD Calhoun
Frontiers in human neuroscience 4, 192, 2010
2462010
Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach
Y Du, GD Pearlson, Q Yu, H He, D Lin, J Sui, L Wu, VD Calhoun
Schizophrenia research 170 (1), 55-65, 2016
2282016
Function–structure associations of the brain: evidence from multimodal connectivity and covariance studies
J Sui, R Huster, Q Yu, JM Segall, VD Calhoun
Neuroimage 102, 11-23, 2014
1882014
In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia
J Sui, GD Pearlson, Y Du, Q Yu, TR Jones, J Chen, T Jiang, J Bustillo, ...
Biological psychiatry 78 (11), 794-804, 2015
1872015
Distinct and common aspects of physical and psychological self-representation in the brain: A meta-analysis of self-bias in facial and self-referential judgements
C Hu, X Di, SB Eickhoff, M Zhang, K Peng, H Guo, J Sui
Neuroscience & biobehavioral reviews 61, 197-207, 2016
1762016
Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging
Q Yu, E A. Allen, J Sui, M R. Arbabshirani, G Pearlson, V D. Calhoun
Current topics in medicinal chemistry 12 (21), 2415-2425, 2012
1692012
Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study
Q Yu, J Sui, S Rachakonda, H He, W Gruner, G Pearlson, KA Kiehl, ...
PloS one 6 (9), e25423, 2011
1672011
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
J Sui, S Qi, TGM van Erp, J Bustillo, R Jiang, D Lin, JA Turner, ...
Nature communications 9 (1), 3028, 2018
1542018
Three-Way (N-way) fusion of brain imaging data based on mCCA+ jICA and its application to discriminating schizophrenia
J Sui, H He, GD Pearlson, T Adali, KA Kiehl, Q Yu, VP Clark, E Castro, ...
NeuroImage, 2012
1512012
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
W Yan, V Calhoun, M Song, Y Cui, H Yan, S Liu, L Fan, N Zuo, Z Yang, ...
EBioMedicine 47, 543-552, 2019
1482019
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders
Y Du, GD Pearlson, J Liu, J Sui, Q Yu, H He, E Castro, VD Calhoun
Neuroimage 122, 272-280, 2015
1442015
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