Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Müller, Henning. (Editor), Kelm, B. Michael. (Editor), Arbel, Tal. (Editor), Cai, Weidong. (Editor), Cardoso, M. Jorge. (Editor), Langs, Georg. (Editor), Menze, Bjoern. (Editor), Metaxas, Dimitris. (Editor), Montillo, Albert. (Editor), Wells III, William M. (Editor), Zhang, Shaoting. (Editor), Chung, Albert C.S. (Editor), Jenkinson, Mark. (Editor), Ribbens, Annemie. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10081
Subjects:
Optical data processing.
Health informatics.
Artificial intelligence.
Mathematical statistics.
Computer science-Mathematics.
Pattern recognition.
Image Processing and Computer Vision.
Health Informatics.
Artificial Intelligence.
Probability and Statistics in Computer Science.
Math Applications in Computer Science.
Pattern Recognition.
Table of Contents:
  • Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases
  • BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases
  • LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images
  • Landmark-based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images
  • Inferring Disease Status by non-Parametric Probabilistic Embedding
  • A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images
  • Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
  • Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker
  • Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
  • Automatic Detection of Histological Artifacts in Mouse Brain Slice Images
  • Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features
  • Representation Learning for Cross-Modality Classification
  • Guideline-based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound
  • A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images
  • Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data
  • Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields
  • Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI data
  • Non-local Graph-based Regularization for Deformable Image Registration
  • Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. .

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