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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, Henning M?ller; B. Michael Kelm; Tal Arbel; Weidon


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Автор: Henning M?ller; B. Michael Kelm; Tal Arbel; Weidon
Название:  Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
ISBN: 9783319611877
Издательство: Springer
Классификация:







ISBN-10: 3319611879
Обложка/Формат: Paperback
Страницы: 222
Вес: 0.34 кг.
Дата издания: 04.07.2017
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 75 illustrations, black and white; xiii, 222 p. 75 illus.
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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 Alzheimers 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.




Bayesian and grAphical Models for Biomedical Imaging

Автор: M. Jorge Cardoso; Ivor Simpson; Tal Arbel; Doina P
Название: Bayesian and grAphical Models for Biomedical Imaging
ISBN: 3319122886 ISBN-13(EAN): 9783319122885
Издательство: Springer
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Цена: 5590.00 р.
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Описание:

N3 Bias Field Correction Explained as a Bayesian Modeling Method.- A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging.- Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine.- Physiologically Informed Bayesian Analysis of ASL fMRI Data.- Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features.- An Inference Language for Imaging.- An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation.- Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.- Four Neuroimaging Questions that P-Values Cannot Answer (and Bayesian Analysis Can).- Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.- A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions.

Type-2 Fuzzy Graphical Models for Pattern Recognition

Автор: Jia Zeng; Zhi-Qiang Liu
Название: Type-2 Fuzzy Graphical Models for Pattern Recognition
ISBN: 3662515229 ISBN-13(EAN): 9783662515228
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition.

Computer Vision, Imaging and Computer Graphics: Theory and Applications

Автор: Sebastiano Battiato; Sabine Coquillart; Robert S.
Название: Computer Vision, Imaging and Computer Graphics: Theory and Applications
ISBN: 3662449102 ISBN-13(EAN): 9783662449103
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference, VISIGRAPP 2013 consisting of the Joint Conferences on Computer Vision (VISAPP), the International Conference on Computer Graphics, GRAPP 2013, and the International Conference on Information Visualization IVAPP 2013, held in Barcelona, Spain, in February 2013.

Decision Forests for Computer Vision and Medical Image Analysis

Автор: Antonio Criminisi; J Shotton
Название: Decision Forests for Computer Vision and Medical Image Analysis
ISBN: 144716962X ISBN-13(EAN): 9781447169628
Издательство: Springer
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Цена: 17468.00 р.
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Medical Computer Vision: Algorithms for Big Data

Автор: Menze
Название: Medical Computer Vision: Algorithms for Big Data
ISBN: 3319420151 ISBN-13(EAN): 9783319420158
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Learning in Graphical Models

Автор: M.I. Jordan
Название: Learning in Graphical Models
ISBN: 9401061041 ISBN-13(EAN): 9789401061049
Издательство: Springer
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Цена: 41925.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996

Type-2 Fuzzy Graphical Models for Pattern Recognition

Автор: Liu, Zhi-Qiang
Название: Type-2 Fuzzy Graphical Models for Pattern Recognition
ISBN: 3662446898 ISBN-13(EAN): 9783662446898
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition.

Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions

Автор: Hongen Liao; Cristian A Linte; Ken Masamune; Terry
Название: Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
ISBN: 3642408427 ISBN-13(EAN): 9783642408427
Издательство: Springer
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Цена: 6429.00 р.
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Описание: Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain.- Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery.- Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model.- Automatic and Real-Time Identification of Breathing Pattern from Ultrasound Liver Images.- Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery.- Hybrid Multimodal Deformable Registration with a Data-Driven Deformation Prior.- Planning of Middle Hepatic Vein-Guided Hemihepatectomy: Resection Pathway Construction and Optimization.- Cascaded Shape Regression for Automatic Prostate Segmentation from Extracorporeal Ultrasound Images.- Evaluation of Endoscopic Image Enhancement for Feature Tracking: A New Validation Framework.- Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography.- Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy.- Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach.- An Augmented Reality Approach for Initializing 2D/3D Registration.- Surface Reconstruction from Tracked Endoscopic Video Using the Structure from Motion Approach.- Towards CT Enhanced Ultrasound Guidance for Off-pump Beating Heart Mitral Valve Repair.- A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution.- Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images.- Realtime Wide-Baseline Registration of the Uterus in Monocular Laparoscopic Videos.- 3D Robotic Catheter Shape Reconstruction and Localisation Using Appearance Priors and Adaptive C-Arm Positioning.- Uncertainty-Encoded Augmented Reality for Robot-Assisted Partial Nephrectomy: A Phantom Study.- Quantized Local Edge Distribution: A Descriptor for B-mode Ultrasound Images.- Registration of Preoperative Liver Model for Laparoscopic Surgery from Intraoperative 3D Acquisition.- Volume Visualization for Neurovascular Augmented Reality Surgery.- Reinforcement Learning Based Model Selection and Parameter Estimation for Pharmacokinetic Analysis in Drug Selection.- Delineating 3D Angiogenic Sprouting in OCT Images via Multiple Active Contours.- The Role of Augmented Reality in Training the Planning of Brain Tumor Resection.- Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration.- Calibration and Stereo Tracking of a Laparoscopic Ultrasound Transducer for Augmented Reality in Surgery.- Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy.

Computer Vision, Imaging and Computer Graphics Theory and Applications

Автор: Jos? Braz; Julien Pettr?; Paul Richard; Andreas Ke
Название: Computer Vision, Imaging and Computer Graphics Theory and Applications
ISBN: 3319299700 ISBN-13(EAN): 9783319299709
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This bookconstitutes thoroughly revised and selected papers from the 10thInternational Joint Conference on Computer Vision, Imaging and ComputerGraphics Theory and Applications, VISIGRAPP 2015, held in Berlin, Germany, inMarch 2015. VISIGRAPP comprises GRAPP, International Conference on ComputerGraphics Theory and Applications;

Decision forests for computer vision and medical image analysis

Название: Decision forests for computer vision and medical image analysis
ISBN: 1447149289 ISBN-13(EAN): 9781447149286
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective

Автор: Portinale Luigi & Codetta Raiteri Daniele
Название: Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective
ISBN: 9814612030 ISBN-13(EAN): 9789814612036
Издательство: World Scientific Publishing
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Цена: 16632.00 р.
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Описание:

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.

Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.

Medical Computer Vision. Large Data in Medical Imaging

Автор: Bjoern Menze; Georg Langs; Albert Montillo; Michae
Название: Medical Computer Vision. Large Data in Medical Imaging
ISBN: 3319055291 ISBN-13(EAN): 9783319055299
Издательство: Springer
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Цена: 8803.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013.


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