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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Overview of attention for book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
Attention for Chapter: Self-supervised Longitudinal Neighbourhood Embedding
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Chapter title
Self-supervised Longitudinal Neighbourhood Embedding
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Published by
Springer, Cham, September 2021
DOI 10.1007/978-3-030-87196-3_8
Pubmed ID
Book ISBNs
978-3-03-087195-6, 978-3-03-087196-3
Authors

Ouyang, Jiahong, Zhao, Qingyu, Adeli, Ehsan, Sullivan, Edith V., Pfefferbaum, Adolf, Zaharchuk, Greg, Pohl, Kilian M., Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 6 12%
Student > Master 4 8%
Student > Bachelor 3 6%
Unspecified 3 6%
Other 1 2%
Unknown 21 43%
Readers by discipline Count As %
Computer Science 14 29%
Engineering 5 10%
Unspecified 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 4 8%
Unknown 21 43%