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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

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Cover of 'Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases
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    Chapter 2 BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases
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    Chapter 3 LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images
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    Chapter 4 Landmark-Based Alzheimer’s Disease Diagnosis Using Longitudinal Structural MR Images
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    Chapter 5 Inferring Disease Status by Non-parametric Probabilistic Embedding
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    Chapter 6 A Lung Graph–Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images
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    Chapter 7 Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
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    Chapter 8 Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker
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    Chapter 9 Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
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    Chapter 10 Automatic Detection of Histological Artifacts in Mouse Brain Slice Images
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    Chapter 11 Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features
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    Chapter 12 Representation Learning for Cross-Modality Classification
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    Chapter 13 Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound
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    Chapter 14 A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images
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    Chapter 15 Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data
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    Chapter 16 Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields
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    Chapter 17 Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data
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    Chapter 18 Non-local Graph-Based Regularization for Deformable Image Registration
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    Chapter 19 Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation
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Title
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-61188-4
ISBNs
978-3-31-961187-7, 978-3-31-961188-4
Editors

Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Unknown 14 82%
Readers by discipline Count As %
Engineering 2 12%
Computer Science 1 6%
Unknown 14 82%