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Information Processing in Medical Imaging

Overview of attention for book
Cover of 'Information Processing in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
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    Chapter 2 Shape Regression Machine
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    Chapter 3 Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
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    Chapter 4 Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
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    Chapter 5 Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images
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    Chapter 6 Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using z HARP
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    Chapter 7 Bayesian Tracking of Elongated Structures in 3D Images
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    Chapter 8 Information Processing in Medical Imaging
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    Chapter 9 Joint Sulci Detection Using Graphical Models and Boosted Priors
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    Chapter 10 Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
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    Chapter 11 Spine Detection and Labeling Using a Parts-Based Graphical Model
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    Chapter 12 Lung Nodule Detection Via Bayesian Voxel Labeling
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    Chapter 13 Functional Interactivity in fMRI Using Multiple Seeds’ Correlation Analyses – Novel Methods and Comparisons
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    Chapter 14 Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
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    Chapter 15 Information-Theoretic Analysis of Brain White Matter Fiber Orientation Distribution Functions
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    Chapter 16 Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
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    Chapter 17 High-Quality Consistent Meshing of Multi-label Datasets
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    Chapter 18 Digital Homeomorphisms in Deformable Registration
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    Chapter 19 Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images
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    Chapter 20 LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images
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    Chapter 21 Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model
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    Chapter 22 Automatic Cortical Segmentation in the Developing Brain
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    Chapter 23 Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs
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    Chapter 24 Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation
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    Chapter 25 A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
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    Chapter 26 Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI
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    Chapter 27 Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy
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    Chapter 28 Shape Modeling and Analysis with Entropy-Based Particle Systems
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    Chapter 29 A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI
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    Chapter 30 Brain Image Registration Using Cortically Constrained Harmonic Mappings
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    Chapter 31 Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts
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    Chapter 32 Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution
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    Chapter 33 A Hamiltonian Particle Method for Diffeomorphic Image Registration
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    Chapter 34 Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
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    Chapter 35 Tracer Kinetics Guided Dynamic PET Reconstruction
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    Chapter 36 Maximum Likelihood Estimators in Magnetic Resonance Imaging
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    Chapter 37 Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer’s Disease
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    Chapter 38 Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
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    Chapter 39 Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds
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    Chapter 40 High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models
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    Chapter 41 Insight into Efficient Image Registration Techniques and the Demons Algorithm
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    Chapter 42 Divergence-Based Framework for Diffusion Tensor Clustering, Interpolation, and Regularization
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    Chapter 43 Localized Components Analysis
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    Chapter 44 Regional Appearance in Deformable Model Segmentation
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    Chapter 45 Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis
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    Chapter 46 Octree Grid Topology Preserving Geometric Deformable Model for Three-Dimensional Medical Image Segmentation
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    Chapter 47 High-Dimensional Entropy Estimation for Finite Accuracy Data: R -NN Entropy Estimator
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    Chapter 48 Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images
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    Chapter 49 An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis
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    Chapter 50 Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images
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    Chapter 51 Localized Maximum Entropy Shape Modelling
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    Chapter 52 Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography
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    Chapter 53 Measures for Pathway Analysis in Brain White Matter Using Diffusion Tensor Images
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    Chapter 54 Estimating the Mesorectal Fascia in MRI
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    Chapter 55 A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration
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    Chapter 56 Geometry Driven Volumetric Registration
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    Chapter 57 A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling
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    Chapter 58 Population-Based Fitting of Medial Shape Models with Correspondence Optimization
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    Chapter 59 Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
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    Chapter 60 Nonrigid Image Registration Using Conditional Mutual Information
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    Chapter 61 Non-parametric Surface-Based Regularisation for Building Statistical Shape Models
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    Chapter 62 Geometrically Proper Models in Statistical Training
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    Chapter 63 Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

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7 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Information Processing in Medical Imaging
Published by
Lecture notes in computer science, January 2007
DOI 10.1007/978-3-540-73273-0
ISBNs
978-3-54-073273-0, 978-3-54-073272-3
Authors

Karssemeijer, Nico, Lelieveldt, Boudewijn

Editors

nico karssemeijer, Boudewijn Lelieveldt

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malta 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 46%
Student > Ph. D. Student 5 38%
Student > Bachelor 1 8%
Librarian 1 8%
Readers by discipline Count As %
Engineering 4 31%
Computer Science 3 23%
Medicine and Dentistry 3 23%
Mathematics 2 15%
Design 1 8%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 September 2017.
All research outputs
#7,015,001
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#2,292
of 8,138 outputs
Outputs of similar age
#40,359
of 157,524 outputs
Outputs of similar age from Lecture notes in computer science
#28
of 59 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,138 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 157,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.