Adolescent Brain Cognitive Development Neurocognitive Prediction
First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
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Chapter and Conference Paper
Inpainting Cropped Diffusion MRI Using Deep Generative Models
Minor artifacts introduced during image acquisition are often negligible to the human eye, such as a confined field of view resulting in MRI missing the top of the head. This crop** artifact, however, can ca...
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Chapter and Conference Paper
Deep Parametric Mixtures for Modeling the Functional Connectome
Functional connectivity between brain regions is often estimated by correlating brain activity measured by resting-state fMRI in those regions. The impact of factors (e.g., disorder or substance use) are then ...
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Chapter and Conference Paper
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain. However, existing deep learning methods applied to rs...
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Chapter and Conference Paper
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity
Parkinson’s disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The physical severity of PD imp...
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Article
Dissociable Contributions of Precuneus and Cerebellum to Subjective and Objective Neuropathy in HIV
Neuropathy, typically diagnosed by the presence of either symptoms or signs of peripheral nerve dysfunction, remains a frequently reported complication in the antiretroviral (ART)-treated HIV population. This ...
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Article
Relations between cognitive and motor deficits and regional brain volumes in individuals with alcoholism
Despite the common co-occurrence of cognitive impairment and brain structural deficits in alcoholism, demonstration of relations between regional gray matter volumes and cognitive and motor processes have been...
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Book and Conference Proceedings
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Chapter and Conference Paper
Confounder-Aware Visualization of ConvNets
With recent advances in deep learning, neuroimaging studies increasingly rely on convolutional networks (ConvNets) to predict diagnosis based on MR images. To gain a better understanding of how a disease impac...
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Chapter and Conference Paper
Variational AutoEncoder for Regression: Application to Brain Aging Analysis
While unsupervised variational autoencoders (VAE) have become a powerful tool in neuroimage analysis, their application to supervised learning is under-explored. We aim to close this gap by proposing a unified...
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Chapter and Conference Paper
Data Augmentation Based on Substituting Regional MRIs Volume Scores
Due to difficulties in collecting sufficient training data, recent advances in neural-network-based methods have not been fully explored in the analysis of brain Magnetic Resonance Imaging (MRI). A possible so...
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Chapter and Conference Paper
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Resting-state functional connectivity states are often identified as clusters of dynamic connectivity patterns. However, existing clustering approaches do not distinguish major states from rarely occurring min...
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Article
Open AccessAlcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals
Group analysis of brain magnetic resonance imaging (MRI) metrics frequently employs generalized additive models (GAM) to remove contributions of confounding factors before identifying cohort specific character...
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Article
The mediating role of cortical thickness and gray matter volume on sleep slow-wave activity during adolescence
During the course of adolescence, reductions occur in cortical thickness and gray matter (GM) volume, along with a 65% reduction in slow-wave (delta) activity during sleep (SWA) but empirical data linking thes...
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Chapter and Conference Paper
Multi-label Transduction for Identifying Disease Comorbidity Patterns
Study of the untoward effects associated with the comorbidity of multiple diseases on brain morphology requires identifying differences across multiple diagnostic grou**s. To identify such effects and differ...
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Chapter and Conference Paper
End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification
As shown in computer vision, the power of deep learning lies in automatically learning relevant and powerful features for any perdition task, which is made possible through end-to-end architectures. However, d...
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Chapter and Conference Paper
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity
Even though the number of longitudinal resting-state-fMRI studies is increasing, accurately characterizing the changes in functional connectivity across visits is a largely unexplored topic. To improve charact...
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Article
Structural brain anomalies in healthy adolescents in the NCANDA cohort: relation to neuropsychological test performance, sex, and ethnicity
Structural MRI of volunteers deemed “normal” following clinical interview provides a window into normal brain developmental morphology but also reveals unexpected dysmorphology, commonly known as “incidental f...
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Chapter and Conference Paper
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI
The analysis of left ventricle (LV) wall motion is a critical step for understanding cardiac functioning mechanisms and clinical diagnosis of ventricular diseases. We present a novel approach for 3D motion mod...
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Chapter and Conference Paper
Joint Data Harmonization and Group Cardinality Constrained Classification
To boost the power of classifiers, studies often increase the size of existing samples through the addition of independently collected data sets. Doing so requires harmonizing the data for demographic and acqu...
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Article
Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community
Accelerating insight into the relation between brain and behavior entails conducting small and large-scale research endeavors that lead to reproducible results. Consensus is emerging between funding agencies, ...
