↓ Skip to main content

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Overview of attention for book
Attention for Chapter 9: Deep Learning Based Multi-modal Registration for Retinal Imaging
Altmetric Badge

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 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.
Chapter title
Deep Learning Based Multi-modal Registration for Retinal Imaging
Chapter number 9
Book title
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-33850-3_9
Book ISBNs
978-3-03-033849-7, 978-3-03-033850-3
Authors

Mustafa Arikan, Amir Sadeghipour, Bianca Gerendas, Reinhard Told, Ursula Schmidt-Erfurt, Arikan, Mustafa, Sadeghipour, Amir, Gerendas, Bianca, Told, Reinhard, Schmidt-Erfurt, Ursula

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Other 2 11%
Student > Master 2 11%
Researcher 2 11%
Student > Doctoral Student 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Computer Science 4 22%
Engineering 3 17%
Business, Management and Accounting 1 6%
Unspecified 1 6%
Other 2 11%
Unknown 2 11%