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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013

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Cover of 'Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013'

Table of Contents

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    Book Overview
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    Chapter 1 Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG
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    Chapter 2 Toward Online Modeling for Lesion Visualization and Monitoring in Cardiac Ablation Therapy
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    Chapter 3 Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach
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    Chapter 4 String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery
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    Chapter 5 Global Registration of Ultrasound to MRI Using the LC 2 Metric for Enabling Neurosurgical Guidance
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    Chapter 6 Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery
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    Chapter 7 Combining surface and fiber geometry: an integrated approach to brain morphology.
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    Chapter 8 Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants
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    Chapter 9 Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor
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    Chapter 10 The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data
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    Chapter 11 Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering
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    Chapter 12 Connectivity subnetwork learning for pathology and developmental variations.
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    Chapter 13 Detecting Epileptic Regions Based on Global Brain Connectivity Patterns
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    Chapter 14 Joint Intensity Inhomogeneity Correction for Whole-Body MR Data
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    Chapter 15 Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion
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    Chapter 16 Learning the Manifold of Quality Ultrasound Acquisition
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    Chapter 17 Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions
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    Chapter 18 ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy
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    Chapter 19 Attenuation correction synthesis for hybrid PET-MR scanners.
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    Chapter 20 Low-Rank Total Variation for Image Super-Resolution
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    Chapter 21 First Use of Mini Gamma Cameras for Intra-operative Robotic SPECT Reconstruction
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    Chapter 22 Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery
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    Chapter 23 Iterative Closest Curve: A Framework for Curvilinear Structure Registration Application to 2D/3D Coronary Arteries Registration
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    Chapter 24 Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities
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    Chapter 25 Efficient convex optimization approach to 3D non-rigid MR-TRUS registration.
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    Chapter 26 Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation
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    Chapter 27 A generalised spatio-temporal registration framework for dynamic PET data: application to neuroreceptor imaging.
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    Chapter 28 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 29 Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation
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    Chapter 30 Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data
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    Chapter 31 Visual Phrase Learning and Its Application in Computed Tomographic Colonography
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    Chapter 32 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 33 Robust Multimodal Dictionary Learning
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    Chapter 34 Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes
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    Chapter 35 Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease
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    Chapter 36 Similarity guided feature labeling for lesion detection.
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    Chapter 37 Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
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    Chapter 38 Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study
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    Chapter 39 Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification
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    Chapter 40 The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data
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    Chapter 41 Contrast-Independent Liver-Fat Quantification from Spectral CT Exams
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    Chapter 42 Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
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    Chapter 43 Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images
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    Chapter 44 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 45 3-D Operation Situs Reconstruction with Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion
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    Chapter 46 Multi-section Continuum Robot for Endoscopic Surgical Clipping of Intracranial Aneurysms
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    Chapter 47 Inter-operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization
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    Chapter 48 System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-Enhanced CT for Abdominal Aortic Aneurysm Stenting
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    Chapter 49 Beyond Current Guided Bronchoscopy: A Robust and Real-Time Bronchoscopic Ultrasound Navigation System
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    Chapter 50 A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology
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    Chapter 51 A Viterbi Approach to Topology Inference for Large Scale Endomicroscopy Video Mosaicing
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    Chapter 52 Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors
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    Chapter 53 Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection
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    Chapter 54 A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-surface Searching and Image Registration
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    Chapter 55 An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor
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    Chapter 56 A Linear Program Formulation for the Segmentation of Ciona Membrane Volumes
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    Chapter 57 Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells
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    Chapter 58 Segmentation of Cells with Partial Occlusion and Part Configuration Constraint Using Evolutionary Computation
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    Chapter 59 A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification
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    Chapter 60 Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach
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    Chapter 61 Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images
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    Chapter 62 Cardiac Motion Estimation by Optimizing Transmural Homogeneity of the Myofiber Strain and Its Validation with Multimodal Sequences
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    Chapter 63 A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging
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    Chapter 64 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 65 A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
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    Chapter 66 Supervised Feature Learning for Curvilinear Structure Segmentation
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    Chapter 67 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 68 Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA
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    Chapter 69 Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation
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    Chapter 70 Low-Rank and Sparse Matrix Decomposition for Compressed Sensing Reconstruction of Magnetic Resonance 4D Phase Contrast Blood Flow Imaging (LoSDeCoS 4D-PCI)
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    Chapter 71 Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching
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    Chapter 72 Normalisation of neonatal brain network measures using stochastic approaches.
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    Chapter 73 Localisation of the Brain in Fetal MRI Using Bundled SIFT Features
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    Chapter 74 Surface Smoothing: A Way Back in Early Brain Morphogenesis
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    Chapter 75 4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures
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    Chapter 76 Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
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    Chapter 77 Non-Local Spatial Regularization of MRI T 2 Relaxation Images for Myelin Water Quantification
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    Chapter 78 Robust Myelin Quantitative Imaging from Multi-echo T2 MRI Using Edge Preserving Spatial Priors
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    Chapter 79 Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
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    Chapter 80 Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
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    Chapter 81 On Describing Human White Matter Anatomy: The White Matter Query Language
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    Chapter 82 Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer’s Disease and Intelligence Prediction
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    Chapter 83 Auto-calibrating Spherical Deconvolution Based on ODF Sparsity
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    Chapter 84 Evaluating Structural Connectomics in Relation to Different Q-space Sampling Techniques
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    Chapter 85 Tensor Metrics and Charged Containers for 3D Q-space Sample Distribution
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    Chapter 86 Optimal Diffusion Tensor Imaging with Repeated Measurements
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    Chapter 87 Estimation of a multi-fascicle model from single B-value data with a population-informed prior.
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    Chapter 88 Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
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    Chapter 89 Groupwise Segmentation with Multi-atlas Joint Label Fusion
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    Chapter 90 Higher-Order CRF Tumor Segmentation with Discriminant Manifold Potentials
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    Chapter 91 Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models
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    Chapter 92 Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding
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    Chapter 93 Deformable Atlas for Multi-structure Segmentation
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    Chapter 94 Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
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    Chapter 95 Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
Published by
Springer Berlin Heidelberg, September 2013
DOI 10.1007/978-3-642-40811-3
ISBNs
978-3-64-240810-6, 978-3-64-240811-3
Editors

Mori, Kensaku, Sakuma, Ichiro, Sato, Yoshinobu, Barillot, Christian, Navab, Nassir

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 971 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Switzerland 6 <1%
Canada 5 <1%
United Kingdom 4 <1%
Spain 4 <1%
France 4 <1%
Italy 3 <1%
Japan 3 <1%
Finland 2 <1%
Other 12 1%
Unknown 919 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 263 27%
Student > Master 181 19%
Researcher 131 13%
Student > Doctoral Student 56 6%
Student > Bachelor 52 5%
Other 109 11%
Unknown 179 18%
Readers by discipline Count As %
Computer Science 309 32%
Engineering 240 25%
Medicine and Dentistry 58 6%
Agricultural and Biological Sciences 35 4%
Neuroscience 32 3%
Other 83 9%
Unknown 214 22%

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