Brain Development and Atlases.- A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease.- A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy.- Domain-invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.- Parkinson's Disease Detection from fMRI-derived Brainstem Regional Functional Connectivity Networks.- Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification.- Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network.- From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity.- Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.- COVLET: Covariance-based Wavelet-like Transform for Statistical Analysis of Brain Characteristics in Children.- Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-Task Regression.- Self-weighted Multi-Task Learning for Subjective Cognitive Decline Diagnosis.- Unified Brain Network with Functional and Structural Data.- Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease.- Infant Cognitive Scores Prediction With Multi-stream Attention-based Temporal Path Signature Features.- Masked Multi-Task Network for Case-level Intracranial Hemorrhage Classification in Brain CT Volumes.- Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates.- Supervised Multi-topology Network Cross-diffusion for Population-Driven Brain Network Atlas Estimation.- Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast.- BDB-Net: Boundary-enhanced Dual Branch Network for Whole Brain Segmentation.- Brain Age Estimation From MRI Using a Two-Stage Cascade Network with a Ranking Loss.- Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.- Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping.- Multi-Scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.- Construction of Spatiotemporal Infant Cortical Surface Functional Templates.- DWI and Tractography.- Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles.- Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity.- White Matter Tract Segmentation with Self-supervised Learning.- Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.- Tractogram filtering of anatomically non-plausible fibers with geometric deep learning.- Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging.- Hierarchical geodesic modeling on the diffusion orientation distribution function for longitudinal DW-MRI analysis.- TRAKO: Efficient Transmission of Tractography Data for Visualization.- Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation.- Trajectories from Distribution-valued Functional Curves: A Unified Wasserstein Framework.- Characterizing Intra-Soma Diffusion with Spherical Mean Spectrum Imaging.- Functional Brain Networks.- Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold.- Neural Architecture Search for Optimization of Spatial-temporal Brain Network Decomposition.- Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis.- Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis.- Whole MILC: generalizing learned dynamics across tasks, datasets, and populations.- A physics-informed geom