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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wu, Guorong (Επιμελητής έκδοσης), Coupé, Pierrick (Επιμελητής έκδοσης), Zhan, Yiqiang (Επιμελητής έκδοσης), Munsell, Brent C. (Επιμελητής έκδοσης), Rueckert, Daniel (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Lecture Notes in Computer Science, 9993
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer simulation.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Graphics.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Algorithm Analysis and Problem Complexity.

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...

Πίνακας περιεχομένων:

• 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.