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Biomedical Image Registration

Overview of attention for book
Cover of 'Biomedical Image Registration'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
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    Chapter 2 Weighted Metamorphosis for Registration of Images with Different Topologies
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    Chapter 3 LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration
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    Chapter 4 Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration
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    Chapter 5 DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation
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    Chapter 6 A Method for Image Registration via Broken Geodesics
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    Chapter 7 Deformable Image Registration Uncertainty Quantification Using Deep Learning for Dose Accumulation in Adaptive Proton Therapy
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    Chapter 8 Distinct Structural Patterns of the Human Brain: A Caveat for Registration
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    Chapter 9 A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration
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    Chapter 10 Voxelmorph++
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    Chapter 11 Unsupervised Learning of Diffeomorphic Image Registration via TransMorph
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    Chapter 12 SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration
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    Chapter 13 Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation
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    Chapter 14 Multi-magnification Networks for Deformable Image Registration on Histopathology Images
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    Chapter 15 Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation
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    Chapter 16 Motion Correction in Low SNR MRI Using an Approximate Rician Log-Likelihood
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    Chapter 17 Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields
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    Chapter 18 Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space
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    Chapter 19 Transformed Grid Distance Loss for Supervised Image Registration
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    Chapter 20 Deformable Lung CT Registration by Decomposing Large Deformation
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    Chapter 21 You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
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    Chapter 22 Recent Developments of an Optimal Control Approach to Nonrigid Image Registration
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    Chapter 23 2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images
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    Chapter 24 Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images
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    Chapter 25 Real-Time Alignment for Connectomics
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    Chapter 26 Weak Bounding Box Supervision for Image Registration Networks
Attention for Chapter 18: Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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Citations

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Chapter title
Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space
Chapter number 18
Book title
Biomedical Image Registration
Published in
arXiv, July 2022
DOI 10.1007/978-3-031-11203-4_18
Book ISBNs
978-3-03-111202-7, 978-3-03-111203-4
Authors

Justinas Antanavicius, Roberto Leiras Gonzalez, Raghavendra Selvan, Roberto Leiras, Antanavicius, Justinas, Leiras, Roberto, Selvan, Raghavendra

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
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 22 July 2022.
All research outputs
#7,758,831
of 24,093,053 outputs
Outputs from arXiv
#168,062
of 1,018,817 outputs
Outputs of similar age
#144,266
of 421,677 outputs
Outputs of similar age from arXiv
#5,079
of 35,354 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 421,677 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 65% of its contemporaries.
We're also able to compare this research output to 35,354 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.

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