Publikationen von Botond Fazekas
2025
- Fazekas B., Aresta G., Lachinov D., Riedl S., Mai J., Schmidt-Erfurth U., Bogunovic H.
SD-LayerNet: Robust and Label-Efficient Retinal Layer Segmentation via Anatomical Priors.
Computer Methods and Programs in Biomedicine 261:108586, (2025) [bib]
@ARTICLE{fazekas2025srlr108586, author = {Fazekas, B.~ and Aresta, G.~ and Lachinov, D.~ and Riedl, S.~ and Mai, J.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {SD-LayerNet: Robust and Label-Efficient Retinal Layer Segmentation via Anatomical Priors.}, journal = {Computer Methods and Programs in Biomedicine}, year = {2025}, volume = {261}, pages = {108586}, doi = {10.1016/j.cmpb.2025.108586} } - Unterdechler M., Fazekas B., Aresta G., Bogunović H.
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation.
In Bhavna A., Chen H., Hang H., Fu H., Lee C.S. (Eds.) Ophthalmic Medical Image Analysis. Proceedings 11th International Workshop OMIA 2024, held in conjuction with MICCAI 2024, Marrakesh, Morocco, 10 October 2024, Lecture Notes in Computer Science 15188, Springer, Cham, 94–103, (2025) [bib]
@INCOLLECTION{unterdechler2025caoa94103, author = {Unterdechler, M.~ and Fazekas, B.~ and Aresta, G.~ and Bogunović, H.~}, title = {Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation.}, booktitle = {Ophthalmic Medical Image Analysis. Proceedings 11th International Workshop OMIA 2024, held in conjuction with MICCAI 2024, Marrakesh, Morocco, 10 October 2024}, publisher = {Springer}, year = {2025}, editor = {Bhavna,A.;Chen,H.;Hang,H.;Fu,H.;Lee,C.S.}, number = {15188}, series = {Lecture Notes in Computer Science}, pages = {94--103}, address = {Cham}, url = {https://doi.org/10.1007/978-3-031-73119-8_10} }
2024
- Bogunovic H., Fazekas B., Frank S., Reiter G., Schmidt-Erfurth U.
Few-Shot Retinal Layer Boundary Segmentation Adaptation for Regressing Novel Retinal Layers Visible on High Resolution OCT.
Investigative Ophthalmology & Visual Science 65(7: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Seattle, WA, 5-9 May 2024):2386, (2024) [bib]
@ARTICLE{bogunovic2024frlb2386, author = {Bogunovic, H.~ and Fazekas, B.~ and Frank, S.~ and Reiter, G.~ and Schmidt-Erfurth, U.~}, title = {Few-Shot Retinal Layer Boundary Segmentation Adaptation for Regressing Novel Retinal Layers Visible on High Resolution OCT.}, journal = {Investigative Ophthalmology \& Visual Science}, year = {2024}, volume = {65}, number = {7: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Seattle, WA, 5-9 May 2024}, pages = {2386}, issn = {0146-0404}, url = {https://iovs.arvojournals.org/article.aspx?articleid=2794199} } - Aresta G., Araújo T., Fazekas B., Mai J., Schmidt-Erfurth U., Bogunović H.
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access 12, 47009–47023, (2024) [bib]
@ARTICLE{aresta2024idlr4700947023, author = {Aresta, G.~ and Araújo, T.~ and Fazekas, B.~ and Mai, J.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~}, title = {Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.}, journal = {IEEE Access}, year = {2024}, volume = {12}, pages = {47009--47023}, issn = {2169-3536}, doi = {10.1109/ACCESS.2024.3379015} }