Autori: Oktem Ozan
| Naslov | Sparse view tomographic reconstruction of elongated objects using learned-dual networks (Article) |
| Autori | Bajic Buda Huber Johannes AJ Neyses Benedikt Olofsson Linus Oktem Ozan |
| Info | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2025), vol. 162 br. , str. - |
| Projekat | CT WOOD research programme in Skelleftea, Sweden - Swedish sawmilling industry, Skelleftea municipality and Lulea University of Technology, Sweden; Swedish Energy Agency; Formas, Sweden; Vinnova, Sweden |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: |
| Naslov | 3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture (Article) |
| Autori | Rudzusika Jevgenija Bajic Buda Koehler Thomas Oktem Ozan |
| Info | IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, (2024), vol. 10 br. , str. 1414-1424 |
| Projekat | Swedish Foundation of Strategic Research [AM13-0049]; VINNOVA Open Innovation Hub [2015-06759]; Philips Healthcare; Ministry of Education, Science and Technological Development of the Republic of Serbia [ON174008]; National Academic Infrastructure for Supercomputing in Sweden (NAISS) at Chalmers through Swedish Research Council [2022-06725] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
