Information Processing in Medical Imaging

Spectral Kernels for Probabilistic Analysis and Clustering of Shapes

Pages 67-79

Folgoc, Loic (et al.)

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration

Pages 80-92

Wu, Pengxiang (et al.)

From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach

Pages 93-105

Elhabian, Shireen Y. (et al.)

Constructing Shape Spaces from a Topological Perspective

Pages 106-118

Hofer, Christoph (et al.)

A Discriminative Event Based Model for Alzheimer’s Disease Progression Modeling

Pages 121-133

Venkatraghavan, Vikram (et al.)

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images

Pages 134-145

Marinescu, Răzvan Valentin (et al.)

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Pages 146-157

Schlegl, Thomas (et al.)

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

Pages 158-169

Zhu, Yingying (et al.)

A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies

Pages 170-183

Schabdach, Jenna (et al.)

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline

Pages 184-197

Zhang, Jie (et al.)

Predicting Interrelated Alzheimer’s Disease Outcomes via New Self-learned Structured Low-Rank Model

Pages 198-209

Wang, Xiaoqian (et al.)

Weakly-Supervised Evidence Pinpointing and Description

Pages 210-222

Zhang, Qiang (et al.)

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

Pages 223-235

Dhamala, Jwala (et al.)

Cancer Metastasis Detection via Spatially Structured Deep Network

Pages 236-248

Kong, Bin (et al.)

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning

Pages 249-260

Hussein, Sarfaraz (et al.)

Topographic Regularity for Tract Filtering in Brain Connectivity

Pages 263-274

Wang, Junyan (et al.)

Riccati-Regularized Precision Matrices for Neuroimaging

Pages 275-286

Honnorat, Nicolas (et al.)

Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random Walks

Pages 287-298

Wang, Chendi (et al.)

Exact Topological Inference for Paired Brain Networks via Persistent Homology

Pages 299-310

Chung, Moo K. (et al.)

Multivariate Manifold Modelling of Functional Connectivity in Developing Language Networks

Pages 311-322

Schwartz, Ernst (et al.)

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

Pages 323-335

Bzdok, Danilo (et al.)

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

Pages 336-347

Moyer, Daniel (et al.)

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Pages 348-360

Li, Wenqi (et al.)

Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population

Pages 361-372

Dai, Mengyu (et al.)

Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches

Pages 373-384

Lascano, Nahuel (et al.)

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains

Pages 385-397

Rekik, Islem (et al.)

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

Pages 398-410

Zhu, Yingying (et al.)

Modeling Task fMRI Data via Deep Convolutional Autoencoder

Pages 411-424

Huang, Heng (et al.)

Director Field Analysis to Explore Local White Matter Geometric Structure in Diffusion MRI

Pages 427-439

Cheng, Jian (et al.)

Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging

Pages 440-452

Scherrer, Benoit (et al.)

Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction

Pages 453-465

Gupta, Kratika (et al.)

Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework

Pages 466-477

Ye, Chuyang

HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics

Pages 478-489

Zhang, Jingwen (et al.)

Orthotropic Thin Shell Elasticity Estimation for Surface Registration

Pages 493-504

Zhao, Qingyu (et al.)

Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network

Pages 505-516

Xue, Wufeng (et al.)

Multi-class Image Segmentation in Fluorescence Microscopy Using Polytrees

Pages 517-528

Fehri, Hamid (et al.)

Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression

Pages 529-540

Sun, Haoliang (et al.)

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach

Pages 543-555

Du, Lei (et al.)

Frequency Diffeomorphisms for Efficient Image Registration

Pages 559-570

Zhang, Miaomiao (et al.)

A Stochastic Large Deformation Model for Computational Anatomy

Pages 571-582

Arnaudon, Alexis (et al.)

Symmetric Interleaved Geodesic Shooting in Diffeomorphisms

Pages 583-593

Fleishman, Greg M. (et al.)

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks

Pages 597-609

Kamnitsas, Konstantinos (et al.)

Globally Optimal Coupled Surfaces for Semi-automatic Segmentation of Medical Images

Pages 610-621

Iglesias, Juan Eugenio

Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation

Pages 622-632

Ravishankar, Hariharan (et al.)

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Pages 633-644

Yang, Dong (et al.)

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Pages 647-658

Schlemper, Jo (et al.)

Population Based Image Imputation

Pages 659-671

Dalca, Adrian V. (et al.)

VTrails: Inferring Vessels with Geodesic Connectivity Trees

Pages 672-684

Moriconi, Stefano (et al.)