Patch-Based Techniques in Medical Imaging Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /

This book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 regular papers presented in this volume were carefully reviewed a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wu, Guorong (Editor ), Coupé, Pierrick (Editor ), Zhan, Yiqiang (Editor ), Munsell, Brent C. (Editor ), Rueckert, Daniel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9993
Temas:
Computer vision.
Pattern recognition systems.
Computer graphics.
Artificial intelligence.
Computer simulation.
Algorithms.
Computer Vision.
Automated Pattern Recognition.
Computer Graphics.
Artificial Intelligence.
Computer Modelling.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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