Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

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

Arbel, Tal; Langs, Georg; Cai, Weidong; Menze, Bjoern; Montillo, Albert; Wells III, William M.; Mueller, Henning; Cardoso, M. Jorge; Metaxas, Dimitris; Kelm, B. Michael

Springer International Publishing AG

07/2017

222

Mole

Inglês

9783319611877

15 a 20 dias

3635

Descrição não disponível.
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.
image analysis;image reconstruction;image segmentation;artificial intelligence;computer vision;medical imaging;learning systems;classification;image enhancement;imaging systems;medical images;image registration;probability;segmentation methods;Support Vector Machines (SVM);classifiers;Bayesian networks;Markov random fields;inverse problems;sensor data fusion