Youyong Kong
YOU?
Author Swipe
View article: MRI structural and functional axial asymmetry in the brain-first versus body-first subtypes of Parkinson’s disease
MRI structural and functional axial asymmetry in the brain-first versus body-first subtypes of Parkinson’s disease Open
Parkinson's Disease (PD) with Rapid Eye Movement Sleep Behavior Disorder (RBD) occurred before (body-first) and after (brain-first) motor symptoms may exhibit different MRI features. We aimed to investigate the structural and functional MR…
View article: Widespread reductions in white matter-gray matter functional connectivity in long-term fibromyalgia syndrome patients
Widespread reductions in white matter-gray matter functional connectivity in long-term fibromyalgia syndrome patients Open
Long-term fibromyalgia syndrome (FMS) patients experience chronic pain, emotional disturbances, and poor treatment responses, yet the neural mechanisms underlying disease chronicity remain unclear. This study aimed to investigate the white…
View article: Combined Functional and Structural Imaging of White Matter Reveals Brain Connectivity Alterations in Fibromyalgia Patients
Combined Functional and Structural Imaging of White Matter Reveals Brain Connectivity Alterations in Fibromyalgia Patients Open
This study provides a preliminary exploration of the mechanisms underlying FMS in terms of WM functional signals. The observed reduction in WM functional activation offers novel insights into the pathophysiology of FMS and highlights poten…
View article: Default mode network static-dynamic functional signatures in first-episode drug-naive major depressive disorder
Default mode network static-dynamic functional signatures in first-episode drug-naive major depressive disorder Open
View article: Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning
Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning Open
Graph Neural Networks (GNN) endure catastrophic forgetting, undermining their capacity to preserve previously acquired knowledge amid the assimilation of novel information. Rehearsal-based techniques revisit historical examples, adopted as…
View article: HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks Open
Heterogeneous graphs, which are common in real-world downstream tasks, have recently sparked a wave of research interest. The performance of end-to-end heterogeneous graph neural networks (HGNNs) greatly relies on supervised training for s…
View article: Exploring Rationale Learning for Continual Graph Learning
Exploring Rationale Learning for Continual Graph Learning Open
Catastrophic forgetting poses a significant challenge for graph neural networks in continuously updating their knowledge base with data streams. To address this issue, much of the research has focused on node-level continual learning using…
View article: DIGITAL IMPROVEMENT OF THE EXPERIMENT OF ABBE IMAGING PRINCIPLE AND SPATIAL-FILTERING BASED ON PYTHON LANGUAGE
DIGITAL IMPROVEMENT OF THE EXPERIMENT OF ABBE IMAGING PRINCIPLE AND SPATIAL-FILTERING BASED ON PYTHON LANGUAGE Open
View article: Microstructural and functional abnormalities of the locus coeruleus in freezing of gait in Parkinson's disease
Microstructural and functional abnormalities of the locus coeruleus in freezing of gait in Parkinson's disease Open
View article: Differences Between Patients With Multiple System Atrophy With Predominant Parkinsonism and Parkinson's Disease Based on fNIRS and Gait Analysis
Differences Between Patients With Multiple System Atrophy With Predominant Parkinsonism and Parkinson's Disease Based on fNIRS and Gait Analysis Open
Objective To investigate the differences in gait parameters and cortical activity during a single‐task walking (STW) and cognitive dual‐task walking (DTW) between multiple system atrophy with predominant parkinsonism (MSA‐P) and Parkinson'…
View article: Robust Image Watermarking Via an Efficient Dual-Branch Transformer from a Frequency-Domain Perspective
Robust Image Watermarking Via an Efficient Dual-Branch Transformer from a Frequency-Domain Perspective Open
View article: Global Temporal Trends and Projections of DALY Burden in COPD Patients Aged ≥ 55 Years: Age–Period–Cohort Analysis and Frontiers 2021
Global Temporal Trends and Projections of DALY Burden in COPD Patients Aged ≥ 55 Years: Age–Period–Cohort Analysis and Frontiers 2021 Open
Household air pollution from solid fuels (HAPSF) is a significant contributor to chronic obstructive pulmonary disease (COPD). Using the Global Burden of Disease (GBD) 2021, this study focuses on the burden of COPD caused by HAPSF in high‐…
View article: Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis
Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis Open
Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample exp…
View article: Embedding Uncertainty Modeling for Cold-Start Item Recommendation
Embedding Uncertainty Modeling for Cold-Start Item Recommendation Open
View article: Decreased temporal variabilities of functional connectivities in insula and lingual gyrus are associated with better early treatment response in patients with panic disorder
Decreased temporal variabilities of functional connectivities in insula and lingual gyrus are associated with better early treatment response in patients with panic disorder Open
Background Panic disorder is a common disabling condition with limited biomarkers. We aimed to explore the diagnostic and treatment response prediction value of functional temporal variability in people with panic disorder. Methods Patient…
View article: Wavelet-Based Dual-Task Network
Wavelet-Based Dual-Task Network Open
In image processing, wavelet transform (WT) offers multiscale image decomposition, generating a blend of low-resolution approximation images and high-resolution detail components. Drawing parallels to this concept, we view feature maps in …
View article: Study of Rates and Factors Associated to Psychosomatic Syndromes Assessed Using the Diagnostic Criteria for Psychosomatic Research across Different Clinical Settings
Study of Rates and Factors Associated to Psychosomatic Syndromes Assessed Using the Diagnostic Criteria for Psychosomatic Research across Different Clinical Settings Open
Introduction: Diagnostic Criteria for Psychosomatic Research (DCPR) serve as an instrument for identifying and classifying specific psychosomatic syndromes that are not adequately encompassed in standard nosography. The present study aimed…
View article: Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Open
Graph Neural Networks (GNNs) are widely used for node classification tasks but often fail to generalize when training and test nodes come from different distributions, limiting their practicality. To overcome this, recent approaches adopt …
View article: Dual circuits originating from the ventral hippocampus independently facilitate affective empathy
Dual circuits originating from the ventral hippocampus independently facilitate affective empathy Open
Affective empathy enables social mammals to learn and transfer emotion to conspecifics, but an understanding of the neural circuitry and genetics underlying affective empathy is still very limited. Here, using the naive observational fear …
View article: Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks Open
Deep learning and Convolutional Neural Networks (CNNs) have driven major transformations in diverse research areas. However, their limitations in handling low-frequency in-formation present obstacles in certain tasks like interpreting glob…
View article: ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images Open
We present a novel image editing scenario termed Text-grounded Object Generation (TOG), defined as generating a new object in the real image spatially conditioned by textual descriptions. Existing diffusion models exhibit limitations of sp…
View article: Rethinking Referring Object Removal
Rethinking Referring Object Removal Open
Referring object removal refers to removing the specific object in an image referred by natural language expressions and filling the missing region with reasonable semantics. To address this task, we construct the ComCOCO, a synthetic data…
View article: Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks Open
Deep learning and Convolutional Neural Networks (CNNs) have driven major transformations in diverse research areas. However, their limitations in handling low-frequency information present obstacles in certain tasks like interpreting globa…
View article: An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES
An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES Open
A robust and efficient optimization-based 2D/3D registration framework is crucial for the navigation system of orthopedic surgical robots. It can provide precise position information of surgical instruments and implants during surgery. Whi…
View article: Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion
Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion Open
Image-based rigid 2D/3D registration is a critical technique for fluoroscopic guided surgical interventions. In recent years, some learning-based fully differentiable methods have produced beneficial outcomes while the process of feature e…
View article: SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation
SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation Open
Vertebrae identification in arbitrary fields-of-view plays a crucial role in diagnosing spine disease. Most spine CT contain only local regions, such as the neck, chest, and abdomen. Therefore, identification should not depend on specific …
View article: Test-Time Training with Invariant Graph Learning for Out-of-Distribution Generalization
Test-Time Training with Invariant Graph Learning for Out-of-Distribution Generalization Open
View article: Mask Prompt-Guided Multi-Stage Vertebrae Identification
Mask Prompt-Guided Multi-Stage Vertebrae Identification Open
View article: Transformer Helps Gnns Express Better Via Distillation of Long-Range Dependencies
Transformer Helps Gnns Express Better Via Distillation of Long-Range Dependencies Open
View article: Prompt-Driven Graph Distillation: Enabling Single-Layer Mlps to Outperform Deep Graph Neural Networks in Graph-Based Tasks
Prompt-Driven Graph Distillation: Enabling Single-Layer Mlps to Outperform Deep Graph Neural Networks in Graph-Based Tasks Open