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07/23/2023
LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference
We propose a novel method, LoLep, which regresses Locally-Learned planes...
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02/01/2023
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity
It can be difficult to identify trends and perform quality control in la...
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10/07/2022
KRF: Keypoint Refinement with Fusion Network for 6D Pose Estimation
Existing refinement methods gradually lose their ability to further impr...
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09/14/2021
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
We present a novel self-supervised algorithm named MotionHint for monocu...
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01/25/2021
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
In stable coronary artery disease (CAD), reduction in mortality and/or m...
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01/20/2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Objective: Multi-modal functional magnetic resonance imaging (fMRI) can ...
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10/28/2020
ORBBuf: A Robust Buffering Method for Collaborative Visual SLAM
Collaborative simultaneous localization and mapping (SLAM) approaches pr...
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10/25/2020
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model
Functional connectivity (FC) has been widely used to study brain network...
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09/30/2020
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived fu...
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06/16/2020
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
Functional connectivity (FC) has become a primary means of understanding...
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06/16/2020
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Multimodal fusion benefits disease diagnosis by providing a more compreh...
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04/29/2020
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
In recent years, a comprehensive study of multi-view datasets (e.g., mul...
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01/31/2020
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT)
The robust Chinese remainder theorem (CRT) has been recently proposed fo...
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01/22/2020
Causality based Feature Fusion for Brain Neuro-Developmental Analysis
Human brain development is a complex and dynamic process that is affecte...
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09/07/2019
OptSample: A Resilient Buffer Management Policy for Robotic Systems based on Optimal Message Sampling
Modern robotic systems have become an alternative to humans to perform r...
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04/01/2019
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
The study of healthy brain development helps to better understand the br...
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10/01/2018
TZC: Efficient Inter-Process Communication for Robotics Middleware with Partial Serialization
Inter-process communication (IPC) is one of the core functions of modern...
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07/14/2017
Kernel Method for Detecting Higher Order Interactions in multi-view Data: An Application to Imaging, Genetics, and Epigenetics
In this study, we tested the interaction effect of multimodal datasets u...
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05/11/2017
FDR-Corrected Sparse Canonical Correlation Analysis with Applications to Imaging Genomics
Reducing the number of false positive discoveries is presently one of th...
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05/09/2017
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis
Many unsupervised kernel methods rely on the estimation of the kernel co...
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09/15/2016
Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis
Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are empl...
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06/01/2016
Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis
In genome-wide interaction studies, to detect gene-gene interactions, mo...
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06/01/2016
Identifying Outliers using Influence Function of Multiple Kernel Canonical Correlation Analysis
Imaging genetic research has essentially focused on discovering unique a...
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02/17/2016
