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Mathematics and Computer Science in Medical Imaging, Max A. Viergever; Andrew Todd-Pokropek


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Автор: Max A. Viergever; Andrew Todd-Pokropek
Название:  Mathematics and Computer Science in Medical Imaging
ISBN: 9783642833083
Издательство: Springer
Классификация:





ISBN-10: 364283308X
Обложка/Формат: Paperback
Страницы: 546
Вес: 0.88 кг.
Дата издания: 28.01.2012
Серия: Nato ASI Subseries F:
Язык: English
Размер: 244 x 170 x 29
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Proceedings of the NATO Advanced Study Institute on Mathematics and Computer Science in Medical Imaging, held in Il Ciocco, Italy, September 21 - October 4, 1986


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.

Oxford handbook of medical imaging

Автор: Darby, M J; Barron, D; Hyland, R E
Название: Oxford handbook of medical imaging
ISBN: 0199216363 ISBN-13(EAN): 9780199216369
Издательство: Oxford Academ
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Цена: 4750.00 р.
Наличие на складе: Поставка под заказ.

Описание: A practical quick reference guide to the main techniques used to image common medical and surgical conditions.

Computer Graphics and Mathematics

Автор: Bianca Falcidieno; Ivan Herman; Caterina Pienovi
Название: Computer Graphics and Mathematics
ISBN: 3642775888 ISBN-13(EAN): 9783642775888
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Since its very existence as a separate field within computerscience, computer graphics had to make extensive use ofnon-trivial mathematics, for example, projective geometry,solid modelling, and approximation theory.

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Автор: Henning M?ller; B. Michael Kelm; Tal Arbel; Weidon
Название: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
ISBN: 3319611879 ISBN-13(EAN): 9783319611877
Издательство: Springer
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Цена: 7685.00 р.
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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 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.

Oxford Handbook of Clinical and Laboratory Investigation 3e and Oxford Handbook of Medical Sciences 2e (Pack)

Название: Oxford Handbook of Clinical and Laboratory Investigation 3e and Oxford Handbook of Medical Sciences 2e (Pack)
ISBN: 0198785046 ISBN-13(EAN): 9780198785040
Издательство: Oxford Academ
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Цена: 7602.00 р.
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Описание: This practical guide to medical sciences includes the Oxford Handbook of Clinical and Laboratory Investigation and the Oxford Handbook of Medical Sciences. An essential resource for medical students and trainees, this pack offers a clear account of the scientific principles and investigations underpinning clinical medicine.

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.


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