Medical image computing and computer-assisted intervention-- MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings. Part II /
The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee careful...
| Corporate Authors: | International Conference on Medical Image Computing and Computer-Assisted Intervention Nagoya-shi, Japan) |
|---|---|
| Other Authors: | International Conference on Medical Image Computing and Computer-Assisted Intervention, Mori, Kensaku,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg :
Springer,
2013.
|
| Physical Description: |
1 online resource (xxxviii, 718 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
8150. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
| Subjects: |
Table of Contents:
- Registration and Atlas Construction.
- Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery
- A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration
- Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes
- Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization
- Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations
- Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration
- Microscopy, Histology, and Computer-Aided Diagnosis.
- A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images
- Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy
- Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking.
- Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors
- A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases
- Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching
- Motion Modeling and Compensation. l
- Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-segmentation
- Respiratory Motion Compensation with Relevance Vector Machines
- Real-Time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-view Range Imaging
- Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data
- Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing
- Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift
- A Symmetric 4D Registration Algorithm for Respiratory Motion Modeling.
- Segmentation I.
- Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models
- Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images
- An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity
- Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting
- Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
- Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior
- Image Segmentation Errors Correction by Mesh Segmentation and Deformation
- Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease
- Machine Learning, Statistical Modeling, and Atlases II.
- Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection.
- Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
- Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology
- Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
- Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
- Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
- Computer-Aided Diagnosis and Imaging Biomarkers II.
- A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences
- Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study
- Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces
- Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.
- Multifold Bayesian Kernelization in Alzheimer's Diagnosis
- High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification
- Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks
- Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields
- Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry
- Physiological Modeling, Simulation, and Planning I.
- Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images
- Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons
- Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features
- Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization.
- Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy
- A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy
- Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment
- Microscope, Optical Imaging, and Histology II.
- A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
- Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
- Learning to Segment Neurons with Non-local Quality Measures
- Analysis of Trabecular Bone Microstructure Using Contour Tree Connectivity
- Automated Separation of Binary Overlapping Trees in Low-Contrast Color Retinal Images
- Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model.
- Discriminative Data Transform for Image Feature Extraction and Classification
- Automated Embryo Stage Classification in Time-Lapse Microscopy Video of Early Human Embryo Development
- Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression
- Cardiology II.
- 3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion
- Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images
- Joint Statistics on Cardiac Shape and Fiber Architecture
- Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing
- Cardiac Fiber Inpainting Using Cartan Forms
- Vasculatures and Tubular Structures II.
- Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
- Tracking of Carotid Arteries in Ultrasound Images
- Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels.
- Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts
- Random Walks with Adaptive Cylinder Flux Based Connectivity for Vessel Segmentation
- Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces
- Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search
- Free-Breathing Whole-Heart Coronary MRA: Motion Compensation Integrated into 3D Cartesian Compressed Sensing Reconstruction
- Brain Segmentation and Atlases II.
- Deep Learning-Based Feature Representation for AD/MCI Classification
- Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations
- Multiple Instance Learning for Classification of Dementia in Brain MRI
- Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.
- Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data
- A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis
- Manifold Learning of Brain MRIs by Deep Learning
- Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures
- Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
- A Spatial Mixture Approach to Inferring Sub-ROI Spatio-temporal Patterns from Rapid Event-Related fMRI Data
- Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks
- Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
- Overlapping Replicator Dynamics for Functional Subnetwork Identification
- Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies
- Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks.