Statistical Shape and Deformation Analysis

• Author : Guoyan Zheng,Shuo Li,Gabor Szekely
• Publisher : Academic Press
• Release Date : 2017-03-23
• ISBN : 9780128104941

Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical

• Author : Ian L. Dryden,Ian L.. Dryden,Kanti V. Mardia
• Publisher : Wiley-Blackwell
• Release Date : 1998-09-16
• ISBN : UOM:39015048515913

Thos book involves methods for the geometrical study of random objects where location, rotation and scale information.

• Author : Michael F. Insana,Richard M. Leahy
• Publisher : Springer
• Release Date : 2003-06-29
• ISBN : 9783540457299

This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.

• Author : Guoyan Zheng,Wei Tian,Xiahai Zhuang
• Publisher : Springer
• Release Date : 2018-10-10
• ISBN : 9789811313967

This book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including medicine. The applications of these techniques in orthopaedic interventions offer a number of potential benefits, e.g. reduced incision size and scarring, minimized soft tissue damage, and decreased risk of misalignment. Consequently, these techniques have become indispensable for various orthopaedic interventions, which has led to the emerging field of

• Author : Xavier Pennec,Stefan Sommer,Tom Fletcher
• Publisher : Academic Press
• Release Date : 2019-09
• ISBN : 9780128147252

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a

• Author : Martin Reuter,Christian Wachinger,Hervé Lombaert,Beatriz Paniagua,Marcel Lüthi,Bernhard Egger
• Publisher : Springer
• Release Date : 2018-11-22
• ISBN : 9783030047474

This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical

• Author : Ian L. Dryden,Kanti V. Mardia
• Publisher : John Wiley & Sons
• Release Date : 2016-06-28
• ISBN : 9781119072508

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical

• Author : Anonim
• Publisher : Unknown
• Release Date : 2011
• ISBN : OCLC:930625656

• Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
• Publisher : Springer
• Release Date : 2018-05-24
• ISBN : 9783319912622

The two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; artificial intelligence in modeling, simulation and control; and various problems of artificial intelligence.

• Author : Luping Zhou,Nicholas Heller,Yiyu Shi,Yiming Xiao,Raphael Sznitman,Veronika Cheplygina,Diana Mateus,Emanuele Trucco,X. Sharon Hu,Danny Chen,Matthieu Chabanas,Hassan Rivaz,Ingerid Reinertsen
• Publisher : Springer Nature
• Release Date : 2019-11-20
• ISBN : 9783030336424

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented

• Author : Jing Hua,Zichun Zhong
• Publisher : Academic Press
• Release Date : 2020-01-15
• ISBN : 9780128138427

Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there

• Author : Shuo Li,João Manuel R. S. Tavares
• Publisher : Springer Science & Business Media
• Release Date : 2014-01-28
• ISBN : 9783319038131

This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape

• Author : David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars
• Publisher : Springer
• Release Date : 2014-08-14
• ISBN : 9783319106021

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

• Author : Anuj Srivastava,Eric P. Klassen
• Publisher : Springer
• Release Date : 2016-10-03
• ISBN : 9781493940202

This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of

• Author : Zhangyang Wang,Yun Fu,Thomas S. Huang
• Publisher : Academic Press
• Release Date : 2019-04-11
• ISBN : 9780128136607

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the