Information Processing in Medical Imaging

Separation in X-ray Fluoroscopy.- Poster Papers.- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.- Multiresolution Diffeomorphic Mapping for Cortical Surfaces.- A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.- A Feature-Based Approach to Big Data Analysis of Medical Images.- Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate.- Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.- Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k,q)-Space.- Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.- Measuring Asymmetric Interactions in Resting State Brain Networks.- Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.- Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.- Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.- Bodypart Recognition Using Multi-stage Deep Learning.- Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization.- Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps.- Finding a Path for Segmentation Through Sequential Learning.- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.- Moving Frames for Heart Fiber Reconstruction.- Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.- Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images.- A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.- Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based LearningFramework.- Multi-scale Convolutional Neural Networks for Lung Nodule Classification.- Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex.- Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology.- Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series.- A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI.- Towards a Quantified Network Portrait of a Population.- Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.- AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator.- Sampling from Determinantal Point Processes for Scalable Manifold Learning.- Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI.- Multiple Orderings of Events in Disease Progression.- Construction of An Unbiased Spatio-Temporal Atlas of the Tongue During Speech.- Tree-Encoded Conditional Random Fields for Image Synthesis.- Simultaneous Longitudinal Registration with Group-Wise Similarity Prior.- Spatially Weighted Principal Component Regression for High-Dimensional Prediction.- Coupled Stable Overlapping Replicator Dynamics for Multimodal Brain Subnetwork Identification.- Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI.- Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.