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X Demographics
Mendeley readers
Chapter title |
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis
|
---|---|
Chapter number | 38 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_38 |
Pubmed ID | |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Wang, Yan, Zhou, Luping, Wang, Lei, Yu, Biting, Zu, Chen, Lalush, David S., Lin, Weili, Wu, Xi, Zhou, Jiliu, Shen, Dinggang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Researcher | 6 | 17% |
Student > Doctoral Student | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Student > Master | 2 | 6% |
Other | 3 | 9% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Engineering | 6 | 17% |
Medicine and Dentistry | 2 | 6% |
Neuroscience | 2 | 6% |
Sports and Recreations | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 37% |