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 |
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation
|
---|---|
Chapter number | 23 |
Book title |
Image Analysis for Moving Organ, Breast, and Thoracic Images
|
Published by |
Springer, Cham, August 2018
|
DOI | 10.1007/978-3-030-00946-5_23 |
Pubmed ID | |
Book ISBNs |
978-3-03-000945-8, 978-3-03-000946-5
|
Authors |
Karen López-Linares Román, Isaac de La Bruere, Jorge Onieva, Lasse Andresen, Jakob Qvortrup Holsting, Farbod N. Rahaghi, Iván Macía, Miguel A. González Ballester, Raúl San José Estepar, López-Linares Román, Karen, Bruere, Isaac de La, Onieva, Jorge, Andresen, Lasse, Qvortrup Holsting, Jakob, Rahaghi, Farbod N., Macía, Iván, González Ballester, Miguel A., San José Estepar, Raúl |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 19% |
Student > Ph. D. Student | 3 | 14% |
Professor | 2 | 10% |
Student > Bachelor | 2 | 10% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 19% |
Engineering | 3 | 14% |
Computer Science | 3 | 14% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Chemical Engineering | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 38% |