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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016

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Table of Contents

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    Book Overview
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    Chapter 1 Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy
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    Chapter 2 A Deep Metric for Multimodal Registration
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    Chapter 3 Learning Optimization Updates for Multimodal Registration
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    Chapter 4 Memory Efficient LDDMM for Lung CT
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    Chapter 5 Inertial Demons: A Momentum-Based Diffeomorphic Registration Framework
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    Chapter 6 Diffeomorphic Density Registration in Thoracic Computed Tomography
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    Chapter 7 Temporal Registration in In-Utero Volumetric MRI Time Series
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    Chapter 8 Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology
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    Chapter 9 Deformation Estimation with Automatic Sliding Boundary Computation
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    Chapter 10 Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery
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    Chapter 11 Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions
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    Chapter 12 Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach
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    Chapter 13 Accuracy Estimation for Medical Image Registration Using Regression Forests
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    Chapter 14 Embedding Segmented Volume in Finite Element Mesh with Topology Preservation
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    Chapter 15 Deformable 3D-2D Registration of Known Components for Image Guidance in Spine Surgery
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    Chapter 16 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
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    Chapter 17 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
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    Chapter 18 Quantifying Shape Deformations by Variation of Geometric Spectrum
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    Chapter 19 Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model
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    Chapter 20 Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations
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    Chapter 21 A Multiscale Cardiac Model for Fast Personalisation and Exploitation
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    Chapter 22 Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation
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    Chapter 23 Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing
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    Chapter 24 Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach
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    Chapter 25 Multi-task Shape Regression for Medical Image Segmentation
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    Chapter 26 Soft Multi-organ Shape Models via Generalized PCA: A General Framework
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    Chapter 27 An Artificial Agent for Anatomical Landmark Detection in Medical Images
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    Chapter 28 Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data
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    Chapter 29 Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks
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    Chapter 30 GPNLPerf: Robust 4d Non-rigid Motion Correction for Myocardial Perfusion Analysis
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    Chapter 31 Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network
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    Chapter 32 Basal Slice Detection Using Long-Axis Segmentation for Cardiac Analysis
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    Chapter 33 Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models
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    Chapter 34 Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student’s t-Distributions
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    Chapter 35 Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking
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    Chapter 36 Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
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    Chapter 37 Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning
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    Chapter 38 Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition
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    Chapter 39 From Real MRA to Virtual MRA: Towards an Open-Source Framework
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    Chapter 40 Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow
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    Chapter 41 Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation
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    Chapter 42 Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures
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    Chapter 43 Dense Volume-to-Volume Vascular Boundary Detection
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    Chapter 44 HALE: Healthy Area of Lumen Estimation for Vessel Stenosis Quantification
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    Chapter 45 3D Near Infrared and Ultrasound Imaging of Peripheral Blood Vessels for Real-Time Localization and Needle Guidance
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    Chapter 46 The Minimum Cost Connected Subgraph Problem in Medical Image Analysis
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    Chapter 47 ASL-incorporated Pharmacokinetic Modelling of PET Data With Reduced Acquisition Time: Application to Amyloid Imaging
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    Chapter 48 Probe-Based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks
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    Chapter 49 Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM)
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    Chapter 50 Deep Learning Computed Tomography
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    Chapter 51 Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-Rank Tensor Recovery
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    Chapter 52 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
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    Chapter 53 Semantic Reconstruction-Based Nuclear Cataract Grading from Slit-Lamp Lens Images
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    Chapter 54 Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction
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    Chapter 55 Spatial-Angular Sparse Coding for HARDI
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    Chapter 56 Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding
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    Chapter 57 Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment
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    Chapter 58 Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors
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    Chapter 59 Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design
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    Chapter 60 4D Phase-Contrast Magnetic Resonance CardioAngiography (4D PC-MRCA) Creation from 4D Flow MRI
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    Chapter 61 Joint Estimation of Cardiac Motion and \(T_1^*\) Maps for Magnetic Resonance Late Gadolinium Enhancement Imaging
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    Chapter 62 Correction of Fat-Water Swaps in Dixon MRI
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    Chapter 63 Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects
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    Chapter 64 Self Super-Resolution for Magnetic Resonance Images
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    Chapter 65 Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation
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    Chapter 66 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
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    Chapter 67 Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting
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    Chapter 68 XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching
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    Chapter 69 Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-local Means
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    Chapter 70 Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume
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    Chapter 71 A Promising Non-invasive CAD System for Kidney Function Assessment
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    Chapter 72 Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure
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    Chapter 73 Erratum to: Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

2 news outlets
19 X users
9 patents


37 Dimensions

Readers on

45 Mendeley
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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46726-9
978-3-31-946725-2, 978-3-31-946726-9

Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Researcher 8 18%
Student > Master 7 16%
Student > Bachelor 3 7%
Student > Doctoral Student 2 4%
Other 1 2%
Unknown 8 18%
Readers by discipline Count As %
Engineering 17 38%
Computer Science 8 18%
Medicine and Dentistry 4 9%
Mathematics 3 7%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2024.
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Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,718 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.