Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency
Selective Labeling: identifying representative sub-volumes for interactive segmentation
Robust and Accurate Appearance Models based on Joint Dictionary Learning: Data from the Osteoarthritis Initiative
Consistent multi-atlas hippocampus segmentation for longitudinal MR brain images with temporal sparse representation
Sparse-Based Morphometry: Principle and Application to Alzheimer's Disease
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning
Patch-Based Discrete Registration of Clinical Brain Images
Non-local MRI Library-based Super-resolution: Application to Hippocampus Subfield Segmentation
Patch-based DTI grading: Application to Alzheimer's disease classification
Hierarchical Multi-Atlas Segmentation using Label-Specific Embeddings, Target-Specific Templates and Patch Refinement
HIST: HyperIntensity Segmentation Tool
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-Atlas Segmentation
CapAIBL: Automated reporting of cortical PET quantification without need of MRI on brain surface using a patch-based method
High resolution hippocampus subfield segmentation using multispectral multi-atlas patch-based label fusion
Identification of water and fat images in Dixon MRI using aggregated patch-based convolutional neural networks
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models.