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 |
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation
|
---|---|
Chapter number | 75 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00937-3_75 |
Book ISBNs |
978-3-03-000936-6, 978-3-03-000937-3
|
Authors |
M. Vakalopoulou, G. Chassagnon, N. Bus, R. Marini, E. I. Zacharaki, M.-P. Revel, N. Paragios, Vakalopoulou, M., Chassagnon, G., Bus, N., Marini, R., Zacharaki, E. I., Revel, M.-P., Paragios, N. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 31% |
Student > Master | 6 | 17% |
Researcher | 4 | 11% |
Student > Bachelor | 3 | 8% |
Lecturer | 2 | 6% |
Other | 2 | 6% |
Unknown | 8 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 36% |
Engineering | 7 | 19% |
Immunology and Microbiology | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 33% |