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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 feature space for derivatives of deformations
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    Chapter 2 Non-rigid motion analysis in medical images: a physically based approach
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    Chapter 3 The use of active shape models for locating structures in medical images
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    Chapter 4 Parameterized feasible boundaries in gradient vector fields
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    Chapter 5 Multi-resolution stochastic 3D shape models for image segmentation
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    Chapter 6 Higher order differential structure of images
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    Chapter 7 Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data
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    Chapter 8 Multiscale Medial analysis of medical images
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    Chapter 9 Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons
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    Chapter 10 Characterizing first and second-order patches using geometry-limited diffusion
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    Chapter 11 Spatial knowledge representation for visualization of human anatomy and function
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    Chapter 12 A strategy for automated multimodality image registration incorporating anatomical knowledge and imager characteristics
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    Chapter 13 Model-based Recognition of anatomical objects from medical images
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    Chapter 14 A multiscale approach to image segmentation using Kohonen networks
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    Chapter 15 Segmentation of Magnetic resonance brain images using analog constraint satisfaction neural networks
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    Chapter 16 Fast, non-linear inversion for Electrical Impedance Tomography
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    Chapter 17 Inverse methods for Optical Tomography
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    Chapter 18 Feature-guided acquisition and reconstruction of MR images
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    Chapter 19 Reconstruction of a three-dimensional volume from a motion-corrupted two-dimensional data set in magnetic resonance imaging
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    Chapter 20 A framework for incorporating structural prior information into the estimation of medical images
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    Chapter 21 Bayesian reconstruction for emission tomography via deterministic annealing
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    Chapter 22 Analytical considerations of photon attenuation and system response function in SPECT reconstruction
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    Chapter 23 MAP image reconstruction using wavelet decomposition
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    Chapter 24 Tomographic reconstruction using information-weighted spline smoothing
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    Chapter 25 A 3-D filtered-backprojection reconstruction algorithm for combined parallel- and cone-beam SPECT data
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    Chapter 26 Foundations of factor analysis of medical image sequences: A unified approach and some practical implications
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    Chapter 27 Bayesian identification of a physiological model in dynamic scintigraphic data
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    Chapter 28 Image registration for the investigation of atherosclerotic plaque movement
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    Chapter 29 Using statistical pattern recognition techniques to control variable conductance diffusion
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    Chapter 30 Adaptive noise equalization and image analysis in mammography
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    Chapter 31 Continuous voxel classification by stochastic relaxation: Theory and application to MR imaging and MR angiography
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    Chapter 32 Multivariate gaussian pattern classification: Effects of finite sample size and the addition of correlated or noisy features on summary measures of goodness
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    Chapter 33 Measuring detection and localization performance
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    Chapter 34 Methods for estimating the efficiency of human and computational observers in ultrasonography
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    Chapter 35 Gabor function based medical image compression
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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

3 patents


1 Dimensions

Readers on

6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Information Processing in Medical Imaging
Published by
Lecture notes in computer science, January 1993
DOI 10.1007/bfb0013776
978-3-54-056800-1, 978-3-54-047742-6

Harrison H. Barrett, A. F. Gmitro

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 %
Norway 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Unspecified 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 2 33%
Medicine and Dentistry 2 33%
Unspecified 1 17%
Engineering 1 17%

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 10 December 2014.
All research outputs
of 12,376,385 outputs
Outputs from Lecture notes in computer science
of 7,258 outputs
Outputs of similar age
of 263,196 outputs
Outputs of similar age from Lecture notes in computer science
of 111 outputs
Altmetric has tracked 12,376,385 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,258 research outputs from this source. They receive a mean Attention Score of 4.4. 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 263,196 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 74% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.