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.
Mendeley readers
Chapter title |
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes
|
---|---|
Chapter number | 72 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32248-9_72 |
Book ISBNs |
978-3-03-032247-2, 978-3-03-032248-9
|
Authors |
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron, Li, Bo, Niessen, Wiro J., Klein, Stefan, de Groot, Marius, Ikram, M. Arfan, Vernooij, Meike W., Bron, Esther E. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 30% |
Student > Master | 9 | 13% |
Researcher | 8 | 11% |
Student > Postgraduate | 4 | 6% |
Student > Doctoral Student | 2 | 3% |
Other | 7 | 10% |
Unknown | 19 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 33% |
Engineering | 11 | 16% |
Physics and Astronomy | 3 | 4% |
Neuroscience | 3 | 4% |
Immunology and Microbiology | 2 | 3% |
Other | 4 | 6% |
Unknown | 24 | 34% |