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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 Diffusion Propagator Imaging: Using Laplace’s Equation and Multiple Shell Acquisitions to Reconstruct the Diffusion Propagator
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    Chapter 2 Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics
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    Chapter 3 High-Resolution Adaptive PET Imaging
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    Chapter 4 Dynamic Dual-Tracer PET Reconstruction
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    Chapter 5 DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting
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    Chapter 6 Information Processing in Medical Imaging
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    Chapter 7 Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
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    Chapter 8 Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
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    Chapter 9 Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
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    Chapter 10 A Statistical Model of White Matter Fiber Bundles Based on Currents
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    Chapter 11 Neural Tractography Using an Unscented Kalman Filter
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    Chapter 12 Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions
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    Chapter 13 Regression Models of Atlas Appearance
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    Chapter 14 Non-rigid Image Registration with Uniform Spherical Structure Patterns
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    Chapter 15 Joint Bayesian Cortical Sulci Recognition and Spatial Normalization
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    Chapter 16 Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model
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    Chapter 17 Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking
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    Chapter 18 A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration
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    Chapter 19 Generalized L2-Divergence and Its Application to Shape Alignment
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    Chapter 20 Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR
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    Chapter 21 Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition
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    Chapter 22 Active Imaging with Dual Spin-Echo Diffusion MRI
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    Chapter 23 Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment.
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    Chapter 24 MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework
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    Chapter 25 A Unified Framework for MR Based Disease Classification
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    Chapter 26 MARM: Multiscale Adaptive Regression Models for Neuroimaging Data
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    Chapter 27 Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks
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    Chapter 28 Adaptive Kernels for Multi-fiber Reconstruction
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    Chapter 29 Smooth 3-D Reconstruction for 2-D Histological Images
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    Chapter 30 Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation
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    Chapter 31 Coupled Minimum-Cost Flow Cell Tracking
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    Chapter 32 Persistence Diagrams of Cortical Surface Data
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    Chapter 33 Exploratory fMRI Analysis without Spatial Normalization
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    Chapter 34 Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
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    Chapter 35 A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification
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    Chapter 36 Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
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    Chapter 37 A Non-rigid Registration Framework That Accommodates Resection and Retraction
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    Chapter 38 Discriminative Shape Alignment
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    Chapter 39 Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features
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    Chapter 40 Estimating Uncertainty in Brain Region Delineations
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    Chapter 41 Unifying encoding of spatial information in mutual information for nonrigid registration.
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    Chapter 42 Projected Generalized Procrustes Alignment
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    Chapter 43 HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC
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    Chapter 44 Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression
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    Chapter 45 Dense Registration with Deformation Priors
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    Chapter 46 Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease
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    Chapter 47 The 3D Moore-Rayleigh Test for the Quantitative Groupwise Comparison of MR Brain Images
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    Chapter 48 A Framework for Brain Registration via Simultaneous Surface and Volume Flow
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    Chapter 49 Level set image segmentation with a statistical overlap constraint.
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    Chapter 50 Estimating the Confidence of Statistical Model Based Shape Prediction
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    Chapter 51 Oriented Morphometry of Folds on Surfaces
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    Chapter 52 Diffusion MRI Registration Using Orientation Distribution Functions
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    Chapter 53 Robust Joint Entropy Regularization of Limited View Transmission Tomography Using Gaussian Approximations to the Joint Histogram
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    Chapter 54 Cortical Correspondence with Probabilistic Fiber Connectivity
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    Chapter 55 A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI
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    Chapter 56 4D MAP Image Reconstruction Incorporating Organ Motion
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    Chapter 57 Incorporating Patient Breathing Variability into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy
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    Chapter 58 Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from Staple
  60. Altmetric Badge
    Chapter 59 Detection of arterial calcification in mammograms by random walks.
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

1 patent
2 Wikipedia pages


12 Dimensions

Readers on

6 Mendeley
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Information Processing in Medical Imaging
Published by
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-02498-6
978-3-64-202498-6, 978-3-64-202497-9

Jerry L. Prince, Dzung L. Pham, Kyle J. Myers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Unknown 5 83%
Readers by discipline Count As %
Physics and Astronomy 1 17%
Unknown 5 83%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 December 2018.
All research outputs
of 14,848,875 outputs
Outputs from Lecture notes in computer science
of 7,518 outputs
Outputs of similar age
of 265,054 outputs
Outputs of similar age from Lecture notes in computer science
of 117 outputs
Altmetric has tracked 14,848,875 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,518 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 81% 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 265,054 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 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.