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12/14/2022
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification
The challenges of collecting medical data on neurological disorder diagn...
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12/09/2022
Predicting Shape Development: a Riemannian Method
Predicting the future development of an anatomical shape from a single b...
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09/13/2022
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets
Graph neural networks (GNNs) have achieved extraordinary enhancements in...
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09/13/2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
A central challenge in training one-shot learning models is the limited ...
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04/05/2022
Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping
One of the greatest scientific challenges in network neuroscience is to ...
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03/26/2022
Contrastive Graph Learning for Population-based fMRI Classification
Contrastive self-supervised learning has recently benefited fMRI classif...
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10/06/2021
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates
Learning how to estimate a connectional brain template(CBT) from a popul...
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10/06/2021
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
Synthesizing multimodality medical data provides complementary knowledge...
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10/06/2021
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning
Accurate and automated super-resolution image synthesis is highly desire...
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10/06/2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Few-shot learning presents a challenging paradigm for training discrimin...
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10/06/2021
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Charting the baby connectome evolution trajectory during the first year ...
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09/16/2021
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint
Predicting the evolution of the brain network, also called connectome, b...
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09/06/2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
Graph neural networks (GNNs) have witnessed an unprecedented proliferati...
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06/17/2021
Predicting cognitive scores with graph neural networks through sample selection learning
Analyzing the relation between intelligence and neural activity is of th...
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06/07/2021
Graph Neural Networks in Network Neuroscience
Noninvasive medical neuroimaging has yielded many discoveries about the ...
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05/06/2021
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
Brain graphs (i.e, connectomes) constructed from medical scans such as m...
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05/02/2021
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity
Brain image analysis has advanced substantially in recent years with the...
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12/28/2020
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates
A connectional brain template (CBT) is a normalized graph-based represen...
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09/28/2020
Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint
Learning how to predict the brain connectome (i.e. graph) development an...
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09/24/2020
Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification
Graph embedding is a powerful method to represent graph neurological dat...
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09/24/2020
Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling
The individual brain can be viewed as a highly-complex multigraph (i.e. ...
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09/24/2020
Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
Brain connectivity networks, derived from magnetic resonance imaging (MR...
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09/23/2020
Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer
Foreseeing the brain evolution as a complex highly inter-connected syste...
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09/23/2020
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
While existing predictive frameworks are able to handle Euclidean struct...
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09/23/2020
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Catchy but rigorous deep learning architectures were tailored for image ...
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09/23/2020
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
Several works based on Generative Adversarial Networks (GAN) have been r...
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09/23/2020
Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
Estimating a representative and discriminative brain network atlas (BNA)...
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08/30/2020
Deep Hypergraph U-Net for Brain Graph Embedding and Classification
-Background. Network neuroscience examines the brain as a complex system...
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04/28/2020
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
Autism spectrum disorder (ASD) affects the brain connectivity at differe...
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07/13/2019
Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis
Patients initially diagnosed with early mild cognitive impairment (eMCI)...
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08/06/2018
A Review on Image- and Network-based Brain Data Analysis Techniques for Alzheimer's Disease Diagnosis Reveals a Gap in Developing Predictive Methods for Prognosis
Unveiling pathological brain changes associated with Alzheimer's disease...
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09/05/2017
