Patch-Based Techniques in Medical Imaging
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Patch-Based Techniques in Medical Imaging
Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Rueckert, Daniel; Munsell, Brent C.; Coupe, Pierrick; Wu, Guorong; Zhan, Yiqiang
Springer International Publishing AG
09/2016
141
Mole
Inglês
9783319471174
15 a 20 dias
2409
Descrição não disponível.
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-SpecificEmbeddings, 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
dictionary learning;image enhancement;image synthesis;neural network;super pixel;active learning;high-dimensional data regression;image registration;image retrieve;image segmentation;interactive segmentation;mild cognitive impairment;multi-modality fusion;patch-based processing;random forest;segmentation;sparse representation;statistical model;supervoxel;unsupervised
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-SpecificEmbeddings, 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
dictionary learning;image enhancement;image synthesis;neural network;super pixel;active learning;high-dimensional data regression;image registration;image retrieve;image segmentation;interactive segmentation;mild cognitive impairment;multi-modality fusion;patch-based processing;random forest;segmentation;sparse representation;statistical model;supervoxel;unsupervised
