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Information Processing in Medical Imaging, Albert C. S. Chung; James C. Gee; Paul A. Yushkevi


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Автор: Albert C. S. Chung; James C. Gee; Paul A. Yushkevi
Название:  Information Processing in Medical Imaging
ISBN: 9783030203504
Издательство: Springer
Классификация:






ISBN-10: 3030203506
Обложка/Формат: Soft cover
Страницы: 884
Вес: 1.36 кг.
Дата издания: 2019
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 331 illustrations, color; 186 illustrations, black and white; xix, 884 p. 517 illus., 331 illus. in color.
Размер: 234 x 156 x 46
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the proceedings of the 26th International Conference on Information Processing in Medical Imaging, IPMI 2019, held at the Hong Kong University of Science and Technology, Hong Kong, China, in June 2019. The 69 full papers presented in this volume were carefully reviewed and selected from 229 submissions.


Semantic Multimedia Analysis and Processing

Автор: Spyrou Evangelos, Iakovidis Dimitrios, Mylonas Phi
Название: Semantic Multimedia Analysis and Processing
ISBN: 1466575492 ISBN-13(EAN): 9781466575493
Издательство: Taylor&Francis
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Цена: 31390.00 р.
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Описание:

Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability.

Fostering a deeper understanding of a popular area of research, the text:

  • Describes state-of-the-art schemes and applications
  • Supplies authoritative guidance on research and deployment issues
  • Presents novel methods and applications in an informative and reproducible way
  • Contains numerous examples, illustrations, and tables summarizing results from quantitative studies
  • Considers ongoing trends and designates future challenges and research perspectives
  • Includes bibliographic links for further exploration
  • Uses both SI and US units

Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.

Information Processing in Medical Imaging

Автор: Jerry L. Prince; Dzung L. Pham; Kyle J. Myers
Название: Information Processing in Medical Imaging
ISBN: 3642024971 ISBN-13(EAN): 9783642024979
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book constitutes the refeered proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI 2009, held in Williamsburg, VA, USA, in July 2009 The 26 revised full papers and 33 revised poster papers presented were carefully reviewed and selected from 150 submissions.

Information Processing in Medical Imaging

Автор: Marc Niethammer; Martin Styner; Stephen Aylward; H
Название: Information Processing in Medical Imaging
ISBN: 3319590499 ISBN-13(EAN): 9783319590493
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. diffusion imaging; quantitative imaging; imaging genomics; image registration; general image analysis.

Information Processing in Medical Imaging

Автор: Sebastien Ourselin; Daniel C. Alexander; Carl-Fred
Название: Information Processing in Medical Imaging
ISBN: 3319199919 ISBN-13(EAN): 9783319199917
Издательство: Springer
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Цена: 12298.00 р.
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Описание: Probabilistic Graphical Models.- Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach.- Template-Based Multimodal Joint Generative Model of Brain Data.- Generative Method to Discover Genetically Driven Image Biomarkers.- MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging.- A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.- Accelerated High Spatial Resolution Diffusion-Weighted Imaging.- Clustering.- Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.- Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.- Statistical Methods.- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.- Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps.- Longitudinal Analysis.- Group Testing for Longitudinal Data.- Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.- Microstructure Imaging.- A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI.- Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material.- Shape Analysis.- Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths.- A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes.- Multi-atlas Fusion Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.- Keypoint Transfer Segmentation.- Fast Image Registration.- Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration.- Fast Optimal Transport Averaging of Neuroimaging Data.- Deformation Models.- Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms.- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy.- Poster Papers.- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.- Multiresolution Diffeomorphic Mapping for Cortical Surfaces.- A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.- A Feature-Based Approach to Big Data Analysis of Medical Images.- Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate.- Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.- Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space.- Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.- Measuring Asymmetric Interactions in Resting State Brain Networks.- Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.- Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.- Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.- Bodypart Recognition Using Multi-stage Deep Learning.- Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization.- Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps.- Finding a Path for Segmentation Through Sequential Learning.- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.- Moving Frames for Heart Fiber Reconstruction.- Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.- Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images.- A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.- Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based L

Information Processing in Medical Imaging

Автор: Alan C.F. Colchester; David J. Hawkes
Название: Information Processing in Medical Imaging
ISBN: 3540542469 ISBN-13(EAN): 9783540542469
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume presents the proceedings of IPMI `91, with sections on image formation and reconstruction, priors in tomographic reconstruction, multi-modal registration, segmentation, anatomical models, factor analysis, rule based systems and learning, image quality and interaction.

Information Processing in Medical Imaging

Автор: James Duncan; Gene Gindi
Название: Information Processing in Medical Imaging
ISBN: 3540630465 ISBN-13(EAN): 9783540630463
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This text presents the proceedings of the 15th International Conference on Information Processing in Medical Imaging. Divided into sections it includes: shape models; novel imaging methods; segmentation; image quality and statistical character of measured data; and MR analysis and processing.

Information Processing in Medical Imaging

Автор: C.N. De Graaff; M.A. Viergever
Название: Information Processing in Medical Imaging
ISBN: 1461572657 ISBN-13(EAN): 9781461572657
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book summarizes the proceedings of the 10th international conference on Infonnation Pro- cessing in Medical Imaging (IPMI-lO), held in June, 1987, in Zeist, The Netherlands.

Information Processing in Medical Imaging

Автор: James C. Gee; Sarang Joshi; Kilian M. Pohl; Willia
Название: Information Processing in Medical Imaging
ISBN: 3642388671 ISBN-13(EAN): 9783642388675
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The papers are organized in topical sections on connectivity, groupwise registration, neuro segmentation, statistical analysis, dynamic imaging, cortical surface registration, diffusion MRI, functional imaging, torso image analysis, and tract analysis.

Information Processing in Medical Imaging: 27th International Conference, Ipmi 2021, Virtual Event, June 28-June 30, 2021, Proceedings

Автор: Feragen Aasa, Sommer Stefan, Schnabel Julia
Название: Information Processing in Medical Imaging: 27th International Conference, Ipmi 2021, Virtual Event, June 28-June 30, 2021, Proceedings
ISBN: 3030781909 ISBN-13(EAN): 9783030781903
Издательство: Springer
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021.

The theory of quantum information

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Semantic Multimedia Analysis and Processing

Название: Semantic Multimedia Analysis and Processing
ISBN: 1138075388 ISBN-13(EAN): 9781138075382
Издательство: Taylor&Francis
Рейтинг:
Цена: 11789.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability.

Fostering a deeper understanding of a popular area of research, the text:

  • Describes state-of-the-art schemes and applications
  • Supplies authoritative guidance on research and deployment issues
  • Presents novel methods and applications in an informative and reproducible way
  • Contains numerous examples, illustrations, and tables summarizing results from quantitative studies
  • Considers ongoing trends and designates future challenges and research perspectives
  • Includes bibliographic links for further exploration
  • Uses both SI and US units

Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.


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