Multimodal brain image analysis and mathematical foundations of computational anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. (2019)

• Record Type: Book
• Other Titles: MBIA 2019; MFCA 2019
• Further Information: Note: Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer (eds.).
• Editors: Zhu, Dajiang; Yan, Jingwen; Huang, Heng; Shen, Li; Thompson, Paul M; Westin, Carl-Fredrik; Pennec, Xavier, 1970-; Joshi, Sarang; Nielsen, Mads; (Computer scientist), Fletcher, Tom; Durrleman, Stanley; Sommer, Stefan
• Other Names: MBIA (Workshop), 4th; MFCA (Workshop), 7th; International Conference on Medical Image Computing and Computer-Assisted Intervention, 22nd
• Contents: Intro; Additional Workshop Editors; Preface; Multimodal Brain Image Analysis (MBIA); Organization; Preface; Organization; Contents; MBIA; Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm; Abstract; 1 Introduction; 2 Methods; 2.1 Overview and Preprocessing; 2.2 Clustering and Central Fiber Extracting; 2.3 Non-rigid Registration; 3 Experiment and Results; 3.1 Registration Based on CPD; 3.2 Evaluation Based on Distance Between Fiber Tracts; 3.3 Evaluation Based on FA Profile Along the Fiber Tracts; 4 Conclusion; Acknowledgements; References An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection DirectionAbstract; 1 Introduction; 2 Method; 2.1 Two-Stage Super-Resolution Generator Network; 2.2 Discriminator Network; 2.3 Edge Enhanced Hybrid Loss Function; 3 Experiment and Result; 3.1 Dataset and Training Detail; 3.2 Results; 4 Conclusion; References; Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Overview; 2.2 Data Acquisition and Pre-Processing; 2.3 Sparse Representation Theory 2.4 Sparse Representation of Whole-Brain FMRI Data2.5 Functional Connectivity Analysis; 3 Result; 3.1 Node Identification on Simulated Data; 3.2 Node Identification on ASD Data; 3.3 Functional Connectivity Biomarkers; 3.4 Classification Performance; 3.5 Anatomical Locations of Network Nodes; 4 Conclusion; References; Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding; Abstract; 1 Introduction; 2 Method; 2.1 Feature Preparation; 2.2 Feature Embedding; 2.3 Feature Augmentation; 3 Experiment; 3.1 Data Description, Preprocessing and Network Reconstruction 3.2 Experimental Settings3.3 Comparison to Other Baseline Methods; 4 Conclusion; References; Mapping the Spatio-Temporal Functional Coherence in the Resting Brain; Abstract; 1 Introduction; 2 Method; 2.1 A New Multivariate SampEn and Spatio-Temporal Coherence Mapping (STCM); 2.2 Evaluations with Numerical Simulations; 2.3 Evaluations with rsfMRI Data from Human Connectome Project (HCP); 3 Results; 3.1 Numerical Simulation Results; 3.2 Mean STIC Map and Test-Retest Stability of STIC; 3.3 Sex Effects on STIC; 3.4 Age Effects on STIC; 4 Discussion and Conclusion; Acknowledgement; References Species-Preserved Structural Connections Revealed by Sparse Tensor CCAAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Datasets; 2.2 Data Preprocessing; 2.3 Structural Connective Connectome Construction; 2.4 Sparse Tensor Canonical Correlation Analysis (STCCA); 3 Results; 3.1 Cross-Validation; 3.2 DTI Tracts Comparison Between Human and Macaque; 4 Conclusion; References; Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Datasets and Preprocessing; 2.2 3-Hinges Detection
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (xvii, 230 pages), illustrations (some color)
• Subjects: 616.8/04754; Brain -- Imaging -- Data processing -- Congresses; Image analysis -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030332266; 3030332268
• Related ISBNs: 9783030332259
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.