Yalin Wang
0000-0002-6241-735X
170 papers found
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Predicting future cognitive decline with hyperbolic stochastic coding
A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder
Deep-learning based tractography for neonates
Patch-based surface morphometry feature selection with federated group lasso regression
Neurocranium thickness mapping in early childhood
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images
Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks
Diffeomorphic Smoothing for Retinotopic Mapping
Regularize, Expand and Compress: NonExpansive Continual Learning
Morphometric Gaussian process for landmarking on grey matter tetrahedral models
Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology
Applying Surface-Based Morphometry to Study Ventricular Abnormalities of Cognitively Unimpaired Subjects Prior to Clinically Significant Memory Decline
Deep Representation Learning for Multimodal Brain Networks
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes
Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping
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