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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

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Cover of 'Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time Sensitivity Analysis of Blood Flow Simulations to Lumen Segmentation Uncertainty
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    Chapter 2 Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data
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    Chapter 3 Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest
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    Chapter 4 Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization
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    Chapter 5 Atlas-Based Transfer of Boundary Conditions for Biomechanical Simulation
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    Chapter 6 A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer’s Disease
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    Chapter 7 Patient-Specific Simulation of Implant Placement and Function for Cochlear Implantation Surgery Planning
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    Chapter 8 A Computer-Based Simulation of Obstetric Forceps Placement
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    Chapter 9 Real-Time Muscle Deformation via Decoupled Modeling of Solid and Muscle Fiber Mechanics
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    Chapter 10 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 11 Introducing Interactive Inverse FEM Simulation and Its Application for Adaptive Radiotherapy
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    Chapter 12 TGIF: Topological Gap In-Fill for Vascular Networks
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    Chapter 13 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 14 Time-Warped Geodesic Regression
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    Chapter 15 A Matching Model Based on Earth Mover’s Distance for Tracking Myxococcus Xanthus
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    Chapter 16 Splines for Diffeomorphic Image Regression
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    Chapter 17 Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry
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    Chapter 18 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 19 Determining Functional Units of Tongue Motion via Graph-Regularized Sparse Non-negative Matrix Factorization
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    Chapter 20 Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures
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    Chapter 21 Multi-modality Canonical Feature Selection for Alzheimer’s Disease Diagnosis
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    Chapter 22 Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy
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    Chapter 23 Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns
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    Chapter 24 A Method for Predicting the Outcomes of Combined Pharmacologic and Deep Brain Stimulation Therapy for Parkinson’s Disease
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    Chapter 25 Large Margin Aggregation of Local Estimates for Medical Image Classification
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    Chapter 26 Incorporating Privileged Genetic Information for Fundus Image Based Glaucoma Detection
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    Chapter 27 Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer’s Disease Classification
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    Chapter 28 Fully Automatic Bone Age Estimation from Left Hand MR Images
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    Chapter 29 Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs
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    Chapter 30 The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation
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    Chapter 31 Colon Flattening by Landmark-Driven Optimal Quasiconformal Mapping
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    Chapter 32 Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction
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    Chapter 33 Predicting Fetal Neurodevelopmental Age from Ultrasound Images
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    Chapter 34 Multi-modal measurement of the myelin-to-axon diameter g-ratio in preterm-born neonates and adult controls
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    Chapter 35 Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI
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    Chapter 36 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 37 Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models
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    Chapter 38 Detection of Corpus Callosum Malformations in Pediatric Population Using the Discriminative Direction in Multiple Kernel Learning
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    Chapter 39 Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features
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    Chapter 40 Online Scene Association for Endoscopic Navigation
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    Chapter 41 Efficient Multi-organ Segmentation in Multi-view Endoscopic Videos Using Pre-operative Priors
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    Chapter 42 Multi-view stereo and advanced navigation for transanal endoscopic microsurgery.
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    Chapter 43 Enhanced Differential Evolution to Combine Optical Mouse Sensor with Image Structural Patches for Robust Endoscopic Navigation
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    Chapter 44 Crowdsourcing for Reference Correspondence Generation in Endoscopic Images
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    Chapter 45 Augmented Reality Assisted Laparoscopic Partial Nephrectomy
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    Chapter 46 Probe Localization for Freehand 3D Ultrasound by Tracking Skin Features
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    Chapter 47 A Quadratic Energy Minimization Framework for Signal Loss Estimation from Arbitrarily Sampled Ultrasound Data
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    Chapter 48 Real-Time 3D Curved Needle Segmentation Using Combined B-Mode and Power Doppler Ultrasound
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    Chapter 49 A New Sensor Technology for 2D Ultrasound-Guided Needle Tracking
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    Chapter 50 Active Echo: A New Paradigm for Ultrasound Calibration
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    Chapter 51 Transport on Riemannian Manifold for Functional Connectivity-Based Classification
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    Chapter 52 Spatially Varying Registration Using Gaussian Processes
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    Chapter 53 Towards Automatic Bone Age Estimation from MRI: Localization of 3D Anatomical Landmarks
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    Chapter 54 Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos
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    Chapter 55 Can Masses of Non-Experts Train Highly Accurate Image Classifiers?
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    Chapter 56 Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy
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    Chapter 57 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 58 Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning
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    Chapter 59 Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials
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    Chapter 60 Mining Histopathological Images via Composite Hashing and Online Learning
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    Chapter 61 Automated Medical Image Modality Recognition by Fusion of Visual and Text Information
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    Chapter 62 Laplacian Forests: Semantic Image Segmentation by Guided Bagging
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    Chapter 63 Extracting Vascular Networks under Physiological Constraints via Integer Programming
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    Chapter 64 Construction of a Coronary Artery Atlas from CT Angiography
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    Chapter 65 CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors
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    Chapter 66 Variational Bayesian Electrophysiological Imaging of Myocardial Infarction
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    Chapter 67 Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging
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    Chapter 68 Rapid D-Affine Biventricular Cardiac Function with Polar Prediction
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    Chapter 69 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 70 Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest
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    Chapter 71 Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding
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    Chapter 72 3D+time Left Ventricular Strain by Unwrapping Harmonic Phase with Graph Cuts
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    Chapter 73 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 74 Model-Guided Extraction of Coronary Vessel Structures in 2D X-Ray Angiograms
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    Chapter 75 Crossing-Preserving Multi-scale Vesselness
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    Chapter 76 3D Velocity Field and Flow Profile Reconstruction from Arbitrarily Sampled Doppler Ultrasound Data
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    Chapter 77 Reconstruction of Coronary Trees from 3DRA Using a 3D+t Statistical Cardiac Prior
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    Chapter 78 Full-Wave Intravascular Ultrasound Simulation from Histology
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    Chapter 79 6DoF Catheter Detection, Application to Intracardiac Echocardiography
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    Chapter 80 Computer Assisted Planning and Navigation of Periacetabular Osteotomy with Range of Motion Optimization
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    Chapter 81 SEEG trajectory planning: combining stability, structure and scale in vessel extraction
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    Chapter 82 Desired-View Controlled Positioning of Angiographic C-arms
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    Chapter 83 Practical Intraoperative Stereo Camera Calibration
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    Chapter 84 Automatic Labelling of Tumourous Frames in Free-Hand Laparoscopic Ultrasound Video
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    Chapter 85 Needle Guidance Using Handheld Stereo Vision and Projection for Ultrasound-Based Interventions
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    Chapter 86 Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery
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    Chapter 87 Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions
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    Chapter 88 Group-Wise Functional Community Detection through Joint Laplacian Diagonalization
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    Chapter 89 Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations
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    Chapter 90 Brain Connectivity Hyper-Network for MCI Classification
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    Chapter 91 Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
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    Chapter 92 Principal Component Regression Predicts Functional Responses across Individuals
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    Chapter 93 Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging
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    Chapter 94 Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning
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    Chapter 95 iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification
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    Chapter 96 Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors
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    Chapter 97 A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis
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    Chapter 98 A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus
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    Chapter 99 Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction
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    Chapter 100 Mapping Brains on Grids of Features for Schizophrenia Analysis
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    Chapter 101 Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-10470-6
ISBNs
978-3-31-910469-0, 978-3-31-910470-6
Editors

Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Student > Bachelor 1 2%
Unknown 40 95%
Readers by discipline Count As %
Computer Science 1 2%
Engineering 1 2%
Unknown 40 95%