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 |
Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach
|
---|---|
Chapter number | 10 |
Book title |
Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00807-9_10 |
Book ISBNs |
978-3-03-000806-2, 978-3-03-000807-9
|
Authors |
A. Virzì, P. Gori, C. O. Muller, E. Mille, Q. Peyrot, L. Berteloot, N. Boddaert, S. Sarnacki, I. Bloch, Virzì, A., Gori, P., Muller, C. O., Mille, E., Peyrot, Q., Berteloot, L., Boddaert, N., Sarnacki, S., Bloch, I. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 31% |
Student > Master | 3 | 23% |
Other | 2 | 15% |
Student > Bachelor | 1 | 8% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 23% |
Computer Science | 2 | 15% |
Agricultural and Biological Sciences | 1 | 8% |
Mathematics | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 38% |