Yuhui Du
Shanxi University
Pattern recognitionFunctional magnetic resonance imagingComputer scienceResting state fMRISchizophrenia
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Publications 63
#1Armin Iraji (Georgia Institute of Technology)H-Index: 7
#2Zening Fu (Georgia Institute of Technology)H-Index: 8
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
view all 7 authors...
Our recent findings show that functional organizations evolve spatially over time, highlighting the importance of considering within-subject spatial variations and dynamic functional parcellations in brain functional analyses. Meanwhile, a considerable level of multi-functionality suggests the need for overlapping brain parcellations. In this work, we used ultra-high-order ICA to identify fine overlapping functional dynamic parcellations of the brain. The preliminary result of this work was pres...
#1Yuhui Du (Shanxi University)H-Index: 15
#2Zening Fu (Georgia Institute of Technology)H-Index: 8
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
view all 14 authors...
Increasing data-sharing initiatives have provided unprecedented opportunities to study brain disorders. Standardized approaches for capturing reproducible and comparable biomarkers are greatly needed in big-data analysis. Here, we propose a framework (called NeuroMark) that leverages a priori-driven independent component analysis (ICA) to extract functional brain network features from fMRI data. NeuroMark estimates features adaptable to each individual and comparable across subjects by taking ad...
1 CitationsSource
#1Jiayu ChenH-Index: 16
#2Gunter SchumannH-Index: 51
Last. Jingyu LiuH-Index: 30
view all 9 authors...
#1Armin IrajiH-Index: 7
#2Ashkan FaghiriH-Index: 1
Last. Vince D. CalhounH-Index: 93
view all 9 authors...
1 CitationsSource
Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Anees Abrol (GSU: Georgia State University)
#2Zening FuH-Index: 8
Last. Vince D. Calhoun (GSU: Georgia State University)H-Index: 2
view all 4 authors...
Early prediction of diseased brain conditions is critical for curing illness and preventing irreversible neuronal dysfunction and loss. Generically regarding the different neuroimaging modalities as filtered, complementary insights of brain’s anatomical and functional organization, multimodal data fusion could be hypothesized to enhance the predictive power as compared to a unimodal prediction of disease progression. More recently, deep learning (DL) based methods on structural MRI (sMRI) data h...
May 1, 2019 in ICBHI (IEEE-EMBS International Conference on Biomedical and Health Informatics)
#1Alex Fedorov (UNM: University of New Mexico)H-Index: 3
#2R Devon Hjelm (UdeM: Université de Montréal)H-Index: 10
Last. Vince D. Calhoun (The Mind Research Network)H-Index: 93
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Arguably, unsupervised learning plays a crucial role in the majority of algorithms for processing brain imaging. A recently introduced unsupervised approach Deep InfoMax (DIM) is a promising tool for exploring brain structure in a flexible non-linear way. In this paper, we investigate the use of variants of DIM in a setting of progression to Alzheimer's disease in comparison with supervised AlexNet and ResNet inspired convolutional neural networks. As a benchmark, we use a classification task be...
1 CitationsSource
#1Qingbao Yu (The Mind Research Network)H-Index: 20
#2Jiayu Chen (The Mind Research Network)H-Index: 16
Last. Vince D. Calhoun (Yale University)H-Index: 93
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Abstract It has been widely shown that genomic factors influence both risk for schizophrenia and variation in functional brain connectivity. Moreover, schizophrenia is characterized by disrupted brain connectivity. In this work, we proposed a genome-connectome bipartite graph model to perform imaging genomic analysis. Functional network connectivity (FNC) was estimated after decomposing resting state functional magnetic resonance imaging data from both healthy controls (HC) and patients with sch...
#1Zening Fu (The Mind Research Network)H-Index: 8
#2Arvind Caprihan (The Mind Research Network)H-Index: 30
Last. Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
view all 8 authors...
#1Zening Fu (SZU: Shenzhen University)H-Index: 8
#2Yiheng Tu (Harvard University)H-Index: 7
Last. Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
view all 9 authors...
Abstract Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with social communication deficits and restricted/repetitive behaviors and is characterized by large-scale atypical subcortical-cortical connectivity, including impaired resting-state functional connectivity between thalamic and sensory regions. Previous studies have typically focused on the abnormal static connectivity in ASD and overlooked potential valuable dynamic patterns in brain connectivity. However, rest...
13 CitationsSource
#1Zening FuH-Index: 8
#2Yuhui DuH-Index: 15
view all 3 authors...