08940nam 22008175 450 99646616210331620200630023121.03-540-39701-910.1007/b11804(CKB)1000000000212069(SSID)ssj0000321634(PQKBManifestationID)11277370(PQKBTitleCode)TC0000321634(PQKBWorkID)10279860(PQKB)11083501(DE-He213)978-3-540-39701-4(MiAaPQ)EBC3087556(PPN)155167537(EXLCZ)99100000000021206920121227d2003 u| 0engurnn|008mamaatxtccrBiomedical Image Registration[electronic resource] Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers /edited by James C. Gee, J.B. Antoine Maintz, Michael W. Vannier1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (XIV, 410 p.) Lecture Notes in Computer Science,0302-9743 ;2717Bibliographic Level Mode of Issuance: Monograph3-540-20343-5 Includes bibliographical references at the end of each chapters and index.Regularization -- New Vector Field Regularization Techniques for Nonrigid Image Registration -- Free-Form Registration Using Mutual Information and Curvature Regularization -- Formulation and Evaluation of Variational Curve Matching with Prior Constraints -- Novel -- Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction -- Computational Anatomy and Implicit Object Representation: A Level Set Approach -- Constructing Data-Driven Optimal Representations for Iterative Pairwise Non-rigid Registration -- Brain -- Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation -- Inverse Consistent Image Registration of MR Brain Scans: Handedness in Normal Adult Males -- Simultaneous Population Based Image Alignment for Template Free Spatial Normalisation of Brain Anatomy -- Piecewise Affine -- Piecewise Affine Registration of Biological Images -- Elastic Registration with Partial Data -- Information Theoretic -- Point Similarity Measure Based on Mutual Information -- An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities -- Spatial Information in Entropy-Based Image Registration -- Interventional -- Computerized Atlas-Guided Positioning of Deep Brain Stimulators: A Feasibility Study -- Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data -- Correction of C-Arm Projection Matrices by 3D-2D Rigid Registration of CT-Images Using Mutual Information -- Applications -- Image Registration for Distortion Correction in Diffusion Tensor Imaging -- Rigid Registration of Echoplanar and Conventional Magnetic Resonance Images by Minimizing the Kullback-Leibler Distance -- Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images -- Invited Papers -- Digital Anatomy Atlas and Its Registration to MRI, fMRI, PET: The Past Presents a Future -- 2D-3D Registration for Interventional Procedures: A Clinical Perspective -- Posters -- A Comprehensive Approach for Multi-channel Image Registration -- Free Form Deformations Guided by Gradient Vector Flow: A Surface Registration Method in Thoracic and Abdominal PET-CT Applications -- High-Dimensional Multi-modal Image Registration -- A New Technique for Multi-modal 3D Image Registration -- Multimodal Registration Using Patch Algorithm -- FLIRT: A Flexible Image Registration Toolbox -- Narrow Band to Image Registration in the Insight Toolkit -- Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study -- An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images -- Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections -- Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials -- Image Registration for Interventional MRI Guided Procedures: Interpolation Methods, Similarity Measurements, and Applications to the Prostate -- A Protocol for Optimization-Independent Similarity Measure Evaluation -- Medial Node Correspondences towards Automated Registration -- Mouse Brain Spatial Normalization: The Challenge of Sparse Data -- Towards Physically-Sound Registration Using Object-Specific Properties for Regularization -- Characterizing Shape Differences between Phantom Image Populations via Multivariate Statistical Analysis of Inverse Consistent Transformations -- A Gradient-Informed Robust Motion Correction Method for FMRI -- Clinical Applications from Head to Toe Using a Semiautomatic 3D Inter/Intramodality Fusion Technique -- A Parallel Implementation of Non-rigid Registration Using a Volumetric Biomechanical Model.The 2nd International Workshop on Biomedical Image Registration (WBIR) was held June 23–24, 2003, at the University of Pennsylvania, Philadelphia. Following the success of the ?rst workshop in Bled, Slovenia, this meeting aimed to once again bring together leading researchers in the area of biomedical image registration to present and discuss recent developments in the ?eld. Thetheory,implementationandapplicationofimageregistrationinmedicine have become major themes in nearly every scienti?c forum dedicated to image processingandanalysis. Thisintenseinterestre?ectsthe?eld’simportantrolein theconductofabroadandcontinuallygrowingrangeofstudies. Indeed,thete- niques have enabled some of the most exciting contemporary developments in the clinical and research application of medical imaging, including fusion of m- timodality data to assist clinical interpretation; change detection in longitudinal studies; brain shift modeling to improve anatomic localization in neurosurgical procedures; cardiac motion quanti?cation; construction of probabilistic atlases of organ structure and function; and large-scale phenotyping in animal models. WBIR was conceived to provide the burgeoning community of investigators in biomedical image registration an opportunity to share, discuss and stimulate developments in registration research and application at a meeting exclusively devoted to the topic. The format of this year’s workshop consisted of invited talks, author presentations and ample opportunities for discussion, the latter including an elegant reception and dinner hosted at the Mutter ¨ Museum. A representation of the best work in the ?eld, selected by peer review from full manuscripts,waspresentedinsingle-tracksessions. Thepapers,whichaddressed the full diversity of registration topics, are reproduced in this volume, along with enlightening essays by some of the invited speakers.Lecture Notes in Computer Science,0302-9743 ;2717RadiologyOptical data processingHealth informaticsInformation storage and retrievalPattern recognitionBioinformaticsImaging / Radiologyhttps://scigraph.springernature.com/ontologies/product-market-codes/H29005Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XBioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15001Radiology.Optical data processing.Health informatics.Information storage and retrieval.Pattern recognition.Bioinformatics.Imaging / Radiology.Image Processing and Computer Vision.Health Informatics.Information Storage and Retrieval.Pattern Recognition.Bioinformatics.616.0754Gee James Cedthttp://id.loc.gov/vocabulary/relators/edtMaintz J.B. Antoineedthttp://id.loc.gov/vocabulary/relators/edtVannier Michael Wedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466162103316Biomedical Image Registration774299UNISA04233oam 2200661I 450 991078816880332120170822122609.01-138-89425-70-429-16099-21-4822-1238-210.1201/b18231 (CKB)2670000000601153(EBL)1779396(SSID)ssj0001494339(PQKBManifestationID)11771588(PQKBTitleCode)TC0001494339(PQKBWorkID)11515814(PQKB)10618776(MiAaPQ)EBC1779396(OCoLC)904755529(CaSebORM)9781482212365(EXLCZ)99267000000060115320180331h20152015 uy 0engur|n|---|||||txtccrKnowledge discovery process and methods to enhance organizational performance /edited by Kweku-Muata Osei-Bryson, Virginia Commonwealth University, School of Business, Corlane Barclay, University of Technology, Jamaica1st editionBoca Raton, Florida :CRC Press,[2015]©20151 online resource (398 p.)An Auerbach book.1-4822-1236-6 1-336-19430-8 Includes bibliographical references.Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Introduction; Chapter 2: Overview of Knowledge Discovery and Data Mining Process Models; Chapter 3: An Integrated Knowledge Discovery and Data Mining Process Model; Chapter 4: A Novel Method for Formulating the Business Objectives of Data Mining Projects; Chapter 5: The Application of the Business Understanding Phase of the CRISP-DM Approach to a Knowledge Discovery Project on Education; Chapter 6: A Context-Aware Framework for Supporting the Evaluation of Data Mining ResultsChapter 7: Issues and Considerations in the Application of Data Mining in BusinessChapter 8: The Importance of Data Quality Assurance to the Data Analysis Activities of the Data Mining Process; Chapter 9: Critical Success Factors in Knowledge Discovery and Data Mining Projects; Chapter 10: Data Mining for Organizations: Challenges and Opportunities for Small Developing States; Chapter 11: Determining Sources of Relative Inefficiency in Heterogeneous Samples Using Multiple Data Analytic Techniques; Chapter 12: Applications of Data Mining in Organizational BehaviorChapter 13: Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining TechniquesChapter 14: Application of the CRISP-DM Model in Predicting High School Students' Examination (CSEC/CXC) Performance; Chapter 15: Post-Pruning in Decision Tree Induction Using Multiple Performance Measures; Chapter 16: Selecting Classifiers for an Ensemble-An Integrated Ensemble Generation Procedure; Chapter 17: A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and SimilarityBack CoverThis book offers insights into the scope of data mining initiatives, including their socio-economic and legal implications to stakeholders, organizations, and society. There is a current paucity of literature with emphasis on developing countries or relatable cases with relevance to their specific contexts. Most current publications focus on technical and mathematical jargon without clear explanation of how organizations can implement KDDM. Filling this need, this book considers important trends, techniques, strategies, and best practices to help readers make the most of their organizational dDatabase managementDatabase searchingData miningDatabase management.Database searching.Data mining.005.74/1005.741Osei-Bryson Kweku-MuataBarclay CorlaneFlBoTFGFlBoTFGBOOK9910788168803321Knowledge discovery process and methods3868994UNINA