Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings (Lecture Notes in Computer Science Book 10265)

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. The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis. Front Matter....Pages I-XVI Front Matter....Pages 1-1 Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging....Pages 3-15 Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space....Pages 16-27 Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex....Pages 28-40 Conditional Local Distance Correlation for Manifold-Valued Data....Pages 41-52 Stochastic Development Regression on Non-linear Manifolds....Pages 53-64 Front Matter....Pages 65-65 Spectral Kernels for Probabilistic Analysis and Clustering of Shapes....Pages 67-79 Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration....Pages 80-92 From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach....Pages 93-105 Constructing Shape Spaces from a Topological Perspective....Pages 106-118 Front Matter....Pages 119-119 A Discriminative Event Based Model for Alzheimer’s Disease Progression Modeling....Pages 121-133 A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images....Pages 134-145 Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery....Pages 146-157 A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases....Pages 158-169 A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies....Pages 170-183 Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline....Pages 184-197 Predicting Interrelated Alzheimer’s Disease Outcomes via New Self-learned Structured Low-Rank Model....Pages 198-209 Weakly-Supervised Evidence Pinpointing and Description....Pages 210-222 Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models....Pages 223-235 Cancer Metastasis Detection via Spatially Structured Deep Network....Pages 236-248 Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning....Pages 249-260 Front Matter....Pages 261-261 Topographic Regularity for Tract Filtering in Brain Connectivity....Pages 263-274 Riccati-Regularized Precision Matrices for Neuroimaging....Pages 275-286 Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random Walks....Pages 287-298 Exact Topological Inference for Paired Brain Networks via Persistent Homology....Pages 299-310 Multivariate Manifold Modelling of Functional Connectivity in Developing Language Networks....Pages 311-322 Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging....Pages 323-335 A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex....Pages 336-347 On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task....Pages 348-360 Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population....Pages 361-372 Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches....Pages 373-384 Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains....Pages 385-397 A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity....Pages 398-410 Modeling Task fMRI Data via Deep Convolutional Autoencoder....Pages 411-424 Front Matter....Pages 425-425 Director Field Analysis to Explore Local White Matter Geometric Structure in Diffusion MRI....Pages 427-439 Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging....Pages 440-452 Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction....Pages 453-465 Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework....Pages 466-477 HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics....Pages 478-489 Front Matter....Pages 491-491 Orthotropic Thin Shell Elasticity Estimation for Surface Registration....Pages 493-504 Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network....Pages 505-516 Front Matter....Pages 491-491 Multi-class Image Segmentation in Fluorescence Microscopy Using Polytrees....Pages 517-528 Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression....Pages 529-540 Front Matter....Pages 541-541 Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach....Pages 543-555 Front Matter....Pages 557-557 Frequency Diffeomorphisms for Efficient Image Registration....Pages 559-570 A Stochastic Large Deformation Model for Computational Anatomy....Pages 571-582 Symmetric Interleaved Geodesic Shooting in Diffeomorphisms....Pages 583-593 Front Matter....Pages 595-595 Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks....Pages 597-609 Globally Optimal Coupled Surfaces for Semi-automatic Segmentation of Medical Images....Pages 610-621 Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation....Pages 622-632 Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization....Pages 633-644 Front Matter....Pages 645-645 A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction....Pages 647-658 Population Based Image Imputation....Pages 659-671 VTrails: Inferring Vessels with Geodesic Connectivity Trees....Pages 672-684 Back Matter....Pages 685-687