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Mendeley readers
| Title |
A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images
|
|---|---|
| Published in |
Radiation Oncology, April 2022
|
| DOI | 10.1186/s13014-022-02042-1 |
| Pubmed ID | |
| Authors |
Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daida |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Master | 1 | 6% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Unknown | 10 | 59% |