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X Demographics
Mendeley readers
Chapter title |
Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI
|
---|---|
Chapter number | 36 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16443-9_36 |
Book ISBNs |
978-3-03-116442-2, 978-3-03-116443-9
|
Authors |
Sun, Xiaowu, Cheng, Li-Hsin, Plein, Sven, Garg, Pankaj, Geest, Rob J., van der Geest, Rob J. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 33% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Members of the public | 2 | 33% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 43% |
Unknown | 4 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 29% |
Computer Science | 1 | 14% |
Unknown | 4 | 57% |