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Advances in Computational Vision and Medical Image Processing

Overview of attention for book
Cover of 'Advances in Computational Vision and Medical Image Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Cardiovascular Anatomy from Patient-Specific Imaging
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    Chapter 2 Geodesic Methods for Shape and Surface Processing
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    Chapter 3 Robust Shape Estimation with Deformable Models
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    Chapter 4 Digital Geometry and Its Applications to Medical Imaging
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    Chapter 5 Multimodality in Brain Imaging: Methodologic Aspects and Applications
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    Chapter 6 Research Steps Towards Human Sequence Evaluation
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    Chapter 7 3D Object Reconstruction from Uncalibrated Images Using an Off-the-Shelf Camera
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    Chapter 8 Edge-Images Using a Uninorm-Based Fuzzy Mathematical Morphology: Opening and Closing
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    Chapter 9 A Tissue Relevance and Meshing Method for Computing Patient-Specific Anatomical Models in Endoscopic Sinus Surgery Simulation
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    Chapter 10 A Robust Eye Tracking Procedure for Medical and Industrial Applications
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    Chapter 11 3D Reconstruction of the Retinal Arterial Tree Using Subject-Specific Fundus Images
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    Chapter 12 Microscale Flow Dynamics of Red Blood Cells in Microchannels: An Experimental and Numerical Analysis
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    Chapter 13 Efficiency of Spherical Filters on Detection of Isotropic Defects in Textured Backgrounds
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    Chapter 14 Spontaneous Intracerebral Hemorrhage Image Analysis Methods: A Survey
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    Chapter 15 Fluid-Structure Interaction Applied to Blood Flow Simulations
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    Chapter 16 Validity of Paranasal CT Image Reconstruction for Finite Element Models in Otorhinolaryngology
Attention for Chapter 1: Modeling Cardiovascular Anatomy from Patient-Specific Imaging
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Mentioned by

patent
1 patent

Citations

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10 Dimensions

Readers on

mendeley
5 Mendeley
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Chapter title
Modeling Cardiovascular Anatomy from Patient-Specific Imaging
Chapter number 1
Book title
Advances in Computational Vision and Medical Image Processing
Published in
Computational methods in applied sciences, January 2009
DOI 10.1007/978-1-4020-9086-8_1
Pubmed ID
Book ISBNs
978-1-4020-9085-1, 978-1-4020-9086-8
Authors

Chandrajit Bajaj, Samrat Goswami, Bajaj, Chandrajit, Goswami, Samrat

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Professor 1 20%
Researcher 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Mathematics 1 20%
Social Sciences 1 20%
Computer Science 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2020.
All research outputs
#7,554,098
of 23,043,346 outputs
Outputs from Computational methods in applied sciences
#1
of 8 outputs
Outputs of similar age
#49,194
of 170,152 outputs
Outputs of similar age from Computational methods in applied sciences
#1
of 1 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 7 of them.
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 170,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them