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2020 – today
- 2024
[j38]Zening Fu
, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun:
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 292: 120617 (2024)- [j37]Yuda Bi, Anees Abrol, Sihan Jia, Jing Sui, Vince D. Calhoun:
Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. NeuroImage 297: 120674 (2024) - [j36]Weizheng Yan, Zening Fu, Rongtao Jiang, Jing Sui, Vince D. Calhoun:
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. IEEE Trans. Biomed. Eng. 71(4): 1170-1178 (2024) - [c38]Xiangxiang Cui, Dongmei Zhi, Weizheng Yan, Vince D. Calhoun, Chuanjun Zhuo, Jing Sui:
CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. EMBC 2024: 1-4 - [c37]Min Zhao, Rongtao Xu, Dongmei Zhi, Shan Yu, Vince D. Calhoun, Jing Sui:
A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder Classification. EMBC 2024: 1-4 - [c36]Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun:
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. ICASSP 2024: 1756-1760 - 2023
- [j35]Xiang Li, Sheri L. Towe, Ryan P. Bell, Rongtao Jiang, Shana A. Hall, Vince D. Calhoun, Christina S. Meade, Jing Sui:
The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data. IEEE J. Biomed. Health Informatics 27(4): 2094-2104 (2023) - [c35]Xiang Li, Ming Xu, Rongtao Jiang, Xuemei Li, Vince D. Calhoun, Xinyu Zhou, Jing Sui:
ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder. EMBC 2023: 1-5 - [i3]Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun:
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. CoRR abs/2309.08160 (2023) - 2022
- [j34]Xing Meng, Armin Iraji, Zening Fu, Peter V. Kochunov, Aysenil Belger, Judith M. Ford, Sarah C. McEwen, Daniel H. Mathalon, Bryon A. Mueller, Godfrey D. Pearlson, Steven G. Potkin, Adrian Preda, Jessica A. Turner, Theo G. M. van Erp, Jing Sui, Vince D. Calhoun:
Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. Brain Connect. 12(7): 617-628 (2022) - [j33]Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. Medical Image Anal. 78: 102413 (2022) - [j32]Qiu-Hua Lin, Yan-Wei Niu, Jing Sui, Wen-Da Zhao, Chuanjun Zhuo, Vince D. Calhoun:
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data. Medical Image Anal. 79: 102430 (2022) - [j31]Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun:
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39(2): 87-98 (2022) - [j30]Rongtao Jiang, Choong-Wan Woo, Shile Qi, Jing Wu, Jing Sui:
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. IEEE Signal Process. Mag. 39(4): 107-118 (2022) - [c34]Weizheng Yan, Zening Fu, Jing Sui, Vince D. Calhoun:
'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies. EMBC 2022: 1859-1862 - 2021
- [j29]Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun:
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 11(10): 838-849 (2021) - [j28]Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun:
Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage 224: 117385 (2021) - [j27]Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021) - [c33]Dongmei Zhi, Vince D. Calhoun, Chuanyue Wang, Xianbin Li, Xiaohong Ma, Luxian Lv, Weizheng Yan, Dongren Yao, Shile Qi, Rongtao Jiang, Jianlong Zhao, Xiao Yang, Zheng Lin, Yujin Zhang, Young Chul Chung, Chuanjun Zhuo, Jing Sui:
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. EMBC 2021: 1622-1626 - [c32]Na Luo, Xiangsheng Luo, Dongren Yao, Vince D. Calhoun, Li Sun, Jing Sui:
Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *. EMBC 2021: 4358-4361 - [c31]Yan-Wei Niu, Chao-Ying Zhang, Yue Qiu, Qiu-Hua Lin, Jing Sui, Vince D. Calhoun:
Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification. IJCNN 2021: 1-6 - [c30]Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. ISBI 2021: 118-121 - [c29]Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun:
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI 2021: 1577-1581 - [c28]Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu:
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI 2021: 157-167 - [c27]Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu:
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) 2021: 174-184 - 2020
- [j26]Rongtao Jiang, Nianming Zuo, Judith M. Ford, Shile Qi, Dongmei Zhi, Chuanjun Zhuo, Yong Xu, Zening Fu, Juan R. Bustillo, Jessica A. Turner, Vince D. Calhoun, Jing Sui:
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 207 (2020) - [j25]Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. IEEE Trans. Biomed. Eng. 67(9): 2572-2584 (2020) - [c26]Ji Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui, Dongmei Zhi, Vince D. Calhoun:
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. EMBC 2020: 1424-1427 - [c25]Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun:
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC 2020: 1493-1496 - [c24]Shuang Gao, Vince D. Calhoun, Jing Sui:
Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classification. Computer-Aided Diagnosis 2020 - [c23]Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI 2020: 1-10 - [i2]Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. CoRR abs/2001.01707 (2020)
2010 – 2019
- 2019
- [j24]Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun:
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage 190: 191-204 (2019) - [c22]Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui:
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI 2019: 409-413 - [c21]Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui:
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. ISBI 2019: 1265-1269 - [c20]Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen:
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI 2019: 70-78 - 2018
- [j23]Xiaoxia Qu, Jian Yang, Ljiljana Platisa, Asli Kumcu, Danni Ai, Bart Goossens, Tingzhu Bai, Yongtian Wang, Jing Sui, Karel Deblaere, Wilfried Philips:
Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images. IEEE Access 6: 73786-73801 (2018) - [j22]Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun:
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 180(Part): 632-645 (2018) - [j21]Rongtao Jiang, Vince D. Calhoun, Nianming Zuo, Dongdong Lin, Jin Li, Lingzhong Fan, Shile Qi, Hailun Sun, Zening Fu, Ming Song, Tianzi Jiang, Jing Sui:
Connectome-based individualized prediction of temperament trait scores. NeuroImage 183: 366-374 (2018) - [j20]Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc. IEEE 106(5): 886-906 (2018) - [j19]Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui:
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging 37(1): 93-105 (2018) - [j18]Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Michael Wammes, Xiao-Ying Ma, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun:
Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm. J. Signal Process. Syst. 90(2): 259-271 (2018) - [c19]Dongmei Zhi, Xiaohong Ma, Luxian Lv, Qing Ke, Yongfeng Yang, Xiao Yang, Miao Pan, Shile Qi, Rongtao Jiang, Yuhui Du, Qingbao Yu, Vince D. Calhoun, Tianzi Jiang, Jing Sui:
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. EMBC 2018: 558-561 - [c18]Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui:
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. EMBC 2018: 4126-4129 - [c17]Dongren Yao, Xiaojie Guo, Qihua Zhao, Lu Liu, Qingjiu Cao, Yufeng Wang, Vince D. Calhoun, Li Sun, Jing Sui:
Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. EMBC 2018: 4632-4635 - [c16]Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. MICCAI (3) 2018: 249-257 - [i1]Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. CoRR abs/1808.10383 (2018) - 2017
- [j17]Mohammad R. Arbabshirani, Sergey M. Plis, Jing Sui, Vince D. Calhoun:
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage 145: 137-165 (2017) - [j16]Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun:
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage 145: 218-229 (2017) - [j15]Dov B. Lerman-Sinkoff, Jing Sui, Srinivas Rachakonda, Sridhar Kandala, Vince D. Calhoun, Deanna M. Barch:
Multimodal neural correlates of cognitive control in the Human Connectome Project. NeuroImage 163: 41-54 (2017) - [c15]Benjamin S. C. Wade, Jing Sui, Stephanie Njau, Amber M. Leaver, Megha Vasvada, Boris A. Gutman, Paul M. Thompson, Randall Espinoza, Roger P. Woods, Christopher C. Abbott, Katherine L. Narr, Shantanu H. Joshi:
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. ISBI 2017: 502-506 - [c14]Shuang Gao, Elizabeth A. Osuch, Michael Wammes, Jean Théberge, Tian-Zi Jiang, Vince D. Calhoun, Jing Sui:
Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components. MLSP 2017: 1-6 - [c13]Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D. Calhoun, Tianzi Jiang, Jing Sui:
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. MLSP 2017: 1-6 - [c12]Weizheng Yan, Sergey M. Plis, Vince D. Calhoun, Shengfeng Liu, Rongtao Jiang, Tian-Zi Jiang, Jing Sui:
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. MLSP 2017: 1-6 - 2016
- [j14]Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun:
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J. Sel. Top. Signal Process. 10(7): 1134-1149 (2016) - [c11]Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Eswar Damaraju, Juan R. Bustillo, Yuhui Du, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, First Birn, Tianzi Jiang, Jing Sui:
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia. EMBC 2016: 4021-4026 - 2015
- [j13]Qingbao Yu, Erik B. Erhardt, Jing Sui, Yuhui Du, Hao He, R. Devon Hjelm, Mustafa S. Çetin, Srinivas Rachakonda, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun:
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage 107: 345-355 (2015) - [j12]Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun:
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage 122: 272-280 (2015) - [j11]Nan-Feng Jie, Mao-Hu Zhu, Xiao-Ying Ma, Elizabeth A. Osuch, Michael Wammes, Jean Théberge, Huan-Dong Li, Yu Zhang, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun:
Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data. IEEE Trans. Auton. Ment. Dev. 7(4): 320-331 (2015) - [c10]Yuhui Du, Hao He, Lei Wu, Qingbao Yu, Jing Sui, Vince D. Calhoun:
Dynamic default mode network connectivity diminished in patients with schizophrenia. ISBI 2015: 474-477 - [c9]Hao He, Juan R. Bustillo, Yuhui Du, Qingbao Yu, Thomas R. Jones, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171V - [c8]Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Xiao-Ying Ma, Michael Wammes, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun:
Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm. MLSP 2015: 1-6 - 2014
- [j10]Jing Sui, René J. Huster, Qingbao Yu, Judith M. Segall, Vince D. Calhoun:
Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies. NeuroImage 102: 11-23 (2014) - [j9]Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun:
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102: 35-48 (2014) - [c7]Yuhui Du, Elena A. Allen, Hao He, Jing Sui, Vince D. Calhoun:
Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches. EMBC 2014: 1026-1029 - [c6]Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun:
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. EMBC 2014: 1517-1520 - [c5]Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun:
Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. EMBC 2014: 3889-3892 - [c4]Yuhui Du, Jing Sui, Qingbao Yu, Hao He, Vince D. Calhoun:
Semi-supervised learning of brain functional networks. ISBI 2014: 1-4 - 2013
- [j8]Jing Sui, Hao He, Godfrey D. Pearlson, Tülay Adali, Kent A. Kiehl, Qingbao Yu, Vincent P. Clark, Eduardo Castro, Tonya White, Bryon A. Mueller, Beng-Choon Ho, Nancy Andreasen, Vince D. Calhoun:
Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. NeuroImage 66: 119-132 (2013) - [j7]Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Jing Sui, Jessica A. Turner, Juan R. Bustillo, Stefan Ehrlich, Scott R. Sponheim, José M. Cañive, Beng-Choon Ho, Jingyu Liu:
Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. NeuroImage 83: 384-396 (2013) - 2012
- [c3]Jing Sui, Hao He, Jingyu Liu, Qingbao Yu, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. EMBC 2012: 2692-2695 - 2011
- [j6]Arvind Caprihan, Christopher C. Abbott, Jeremy Yamamoto, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Jing Sui, Vince D. Calhoun:
Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia. Brain Connect. 1(2): 133-145 (2011) - [j5]Jing Sui, Godfrey D. Pearlson, Arvind Caprihan, Tülay Adali, Kent A. Kiehl, Jingyu Liu, Jeremy Yamamoto, Vince D. Calhoun:
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. NeuroImage 57(3): 839-855 (2011) - [j4]Eduardo Castro, Manel Martínez-Ramón, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun:
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage 58(2): 526-536 (2011) - 2010
- [j3]Jing Sui, Tülay Adali, Godfrey D. Pearlson, Honghui Yang, Scott R. Sponheim, Tonya White, Vince D. Calhoun:
A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia. NeuroImage 51(1): 123-134 (2010) - [j2]Dae Il Kim, Jing Sui, Srinivas Rachakonda, Tonya White, Dara S. Manoach, Vincent P. Clark, Beng-Choon Ho, S. Charles Schulz, Vince D. Calhoun:
Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study. Neuroinformatics 8(4): 213-229 (2010)
2000 – 2009
- 2009
- [j1]Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. NeuroImage 46(1): 73-86 (2009) - 2008
- [c2]Jing Sui, Vince D. Calhoun:
Exploration of the optimal group-discriminating features using CC-ICA. ACSCC 2008: 1410-1414 - [c1]Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tülay Adali, Vince D. Calhoun:
A constrained coefficient ica algorithm for group difference enhancement. ICASSP 2008: 593-596
Coauthor Index
Vince D. Calhoun
aka: Vincent D. Calhoun
aka: Vincent D. Calhoun
[j38] [j37] [j36] [c38] [c37] [c36] [j35] [c35] [i3] [j34] [j33] [j32] [j31] [c34] [j29] [j28] [c33] [c32] [c31] [c30] [c29] [j26] [j25] [c26] [c25] [c24] [i2] [j24] [c22] [c21] [j22] [j21] [j20] [j19] [j18] [c19] [c18] [c17] [j17] [j16] [j15] [c14] [c13] [c12] [j14] [c11] [j13] [j12] [j11] [c10] [c9] [c8] [j10] [j9] [c7] [c6] [c5] [c4] [j8] [j7] [c3] [j6] [j5] [j4] [j3] [j2] [j1] [c2] [c1]
Tianzi Jiang
aka: Tian-Zi Jiang
aka: Tian-Zi Jiang
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