Results
eNauka >
Results >
Improving the accuracy of peripheral artery plaque progression models with Artificial Intelligence
| Title: | Improving the accuracy of peripheral artery plaque progression models with Artificial Intelligence | Authors: | Spahić, L.; Benolić, L.; Qamar, Safi Ur Rehman   ; Milićević, B. V. S.; Milošević, M. M.; Geroski, T.; Filipović, N. |
Issue Date: | 2023 | Publication: | X International Conference on Computational Bioengineering ICCB 2023, Vienna, Austria, September 20-22 | Type: | Conference Paper | URI: | https://enauka.gov.rs/handle/123456789/1008572 | Metadata source: | (Preuzeto iz ORCID-a) Qamar, Safi Ur Rehman | M-category: | Mp. category will be shown later |
Google ScholarTM
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.