COBISS Kooperativni online bibliografski sistem in servisi COBISS
Kai Rothaus
Osebna bibliografija za leto 2023
2023
1.
PHILIPPI, Daniel, ROTHAUS, Kai, CASTELLI, Mauro. A vision transformer architecture
for the automated segmentation of retinal lesions in spectral domain optical coherence
tomography images. Scientific reports. 2023, vol. 13, article no.517, 14 str. ISSN 2045-2322. Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1038/s41598-023-27616-1. [COBISS.SI-ID 139976707]
projekt: This work was partially supported by Mark Foundation for Cancer Research and Cancer Research UK Cambridge Centre [C9685/A25177], additional support was also provided by the National Institute of Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014). This work was partially supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the Projects GADgET (DSAIPA/DS/0022/2018) and the fnancial support from the Slovenian Research Agency (research core funding no. P5-0410).
projekt: Supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS. Mauro Castelli acknowledges the financial support from the Slovenian Research Agency (research core funding no. P5-0410)
projekt: This work was partially supported by Mark Foundation for Cancer Research and Cancer Research UK Cambridge Centre [C9685/A25177], additional support was also provided by the National Institute of Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014). This work was partially supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the Projects GADgET (DSAIPA/DS/0022/2018) and the fnancial support from the Slovenian Research Agency (research core funding no. P5-0410).
projekt: Supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS. Mauro Castelli acknowledges the financial support from the Slovenian Research Agency (research core funding no. P5-0410)