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Mendeley readers
Chapter title |
Realistic Adversarial Data Augmentation for MR Image Segmentation
|
---|---|
Chapter number | 65 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59710-8_65 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert, Chen, Chen, Qin, Chen, Qiu, Huaqi, Ouyang, Cheng, Wang, Shuo, Chen, Liang, Tarroni, Giacomo, Bai, Wenjia, Rueckert, Daniel |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 26% |
Student > Master | 14 | 19% |
Researcher | 8 | 11% |
Student > Bachelor | 4 | 5% |
Student > Doctoral Student | 2 | 3% |
Other | 4 | 5% |
Unknown | 23 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 32% |
Engineering | 10 | 14% |
Medicine and Dentistry | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Mathematics | 2 | 3% |
Other | 2 | 3% |
Unknown | 31 | 42% |