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X Demographics
Mendeley readers
| Title |
Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2022
|
| DOI | 10.3389/frai.2021.769557 |
| Pubmed ID | |
| Authors |
Naoya Tanabe, Shizuo Kaji, Hiroshi Shima, Yusuke Shiraishi, Tomoki Maetani, Tsuyoshi Oguma, Susumu Sato, Toyohiro Hirai |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 22% |
| Unspecified | 3 | 17% |
| Medicine and Dentistry | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |