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03/20/2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
As scientific and technological advancements result from human intellect...
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02/17/2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI
Structural magnetic resonance imaging (sMRI) can identify subtle brain c...
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11/19/2022
Complementary Labels Learning with Augmented Classes
Complementary Labels Learning (CLL) arises in many real-world tasks such...
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09/05/2022
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised domain adaptation (UDA) has attracted considerable attentio...
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07/27/2022
Learning from Positive and Unlabeled Data with Augmented Classes
Positive Unlabeled (PU) learning aims to learn a binary classifier from ...
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07/22/2022
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
Deep Neural Network (DNN) models are usually trained sequentially from o...
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04/07/2022
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer
Low-Dose Computed Tomography (LDCT) technique, which reduces the radiati...
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04/11/2021
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning
Recently, Deep Neural Networks (DNNs) have recorded great success in han...
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11/02/2020
Transport based Graph Kernels
Graph kernel is a powerful tool measuring the similarity between graphs....
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10/24/2020
Shared Space Transfer Learning for analyzing multi-site fMRI data
Multi-voxel pattern analysis (MVPA) learns predictive models from task-b...
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09/28/2020
Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset
Similarity analysis is one of the crucial steps in most fMRI studies. Re...
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08/18/2020
Ordinal Pattern Kernel for Brain Connectivity Network Classification
Brain connectivity networks, which characterize the functional or struct...
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08/10/2020
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI
Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodr...
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05/10/2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Deep learning has been recently used for the analysis of neuroimages, su...
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05/07/2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Chest computed tomography (CT) becomes an effective tool to assist the d...
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02/20/2020
Nyström Subspace Learning for Large-scale SVMs
As an implementation of the Nyström method, Nyström computational regula...
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01/09/2020
Supervised Hyperalignment for multi-subject fMRI data alignment
Hyperalignment has been widely employed in Multivariate Pattern (MVP) an...
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05/14/2019
A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment
As a successful application of multi-view learning, Hyperalignment and S...
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02/18/2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Generative Adversarial Networks (GANs) are powerful tools for reconstruc...
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09/12/2018
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data
Representational Similarity Analysis (RSA) aims to explore similarities ...
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08/05/2018
Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis
In order to decode the human brain, Multivariate Pattern (MVP) classific...
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07/07/2018
Gradient Hyperalignment for multi-subject fMRI data alignment
Multi-subject fMRI data analysis is an interesting and challenging probl...
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10/11/2017
Deep Hyperalignment
This paper proposes Deep Hyperalignment (DHA) as a regularized, deep ext...
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10/05/2017
Anatomical Pattern Analysis for decoding visual stimuli in human brains
Background: A universal unanswered question in neuroscience and machine ...
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12/26/2016
Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains
Multivariate Pattern (MVP) classification holds enormous potential for d...
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12/20/2016
WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory
The Wisdom of Crowds (WOC), as a theory in the social science, gets a ne...
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11/25/2016
Local Discriminant Hyperalignment for multi-subject fMRI data alignment
Multivariate Pattern (MVP) classification can map different cognitive st...
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10/09/2016
A new selection strategy for selective cluster ensemble based on Diversity and Independency
This research introduces a new strategy in cluster ensemble selection by...
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09/04/2016
Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images
A universal unanswered question in neuroscience and machine learning is ...
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04/25/2016