| Title |
Comparison of deep learning-based denoising methods in cardiac SPECT
|
|---|---|
| Published in |
EJNMMI Physics, February 2023
|
| DOI | 10.1186/s40658-023-00531-0 |
| Pubmed ID | |
| Authors |
Antti Sohlberg, Tuija Kangasmaa, Chris Constable, Antti Tikkakoski |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Neuroscience | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 6 | 55% |