Publikationen von Guilherme Moreira Aresta
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} } - Aresta G., Araújo T., Schmidt-Erfurth U., Bogunovic H.
Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation.
Translational Vision Science & Technology 14(3):26, (2025) [bib]
@ARTICLE{aresta2025adro26, author = {Aresta, G.~ and Araújo, T.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation.}, journal = {Translational Vision Science \& Technology}, year = {2025}, volume = {14}, number = {3}, pages = {26}, issn = {2164-2591}, doi = {10.1167/tvst.14.3.26}, keywords = {Humans;*Tomography;Optical Coherence;*Deep Learning;*Image Processing;Computer-Assisted/methods;*Macula Lutea/diagnostic imaging;*Retinal Diseases/diagnostic imaging;*Unsupervised Machine Learning} } - 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
- Li J., Zhou Z., Yang J., Pepe A., Gsaxner C., Luijten G., Qu C., Zhang T., Chen X., Li W., Wodzinski M., Friedrich P., Xie K., Jin Y., Ambigapathy N., Nasca E., Solak N., Melito G.M., Vu V.D., Memon A.R., Schlachta C., De Ribaupierre S., Patel R., Eagleson R., Chen X., Mächler H., Kirschke J.S., de la Rosa E., Christ P.F., Li H.B., Ellis D.G., Aizenberg M.R., Gatidis S., Küstner T., Shusharina N., Heller N., Andrearczyk V., Depeursinge A., Hatt M., Sekuboyina A., Löffler M.T., Liebl H., Dorent R., Vercauteren T., Shapey J., Kujawa A., Cornelissen S., Langenhuizen P., Ben-Hamadou A., Rekik A., Pujades S., Boyer E., Bolelli F., Grana C., Lumetti L., Salehi H., Ma J., Zhang Y., Gharleghi R., Beier S., Sowmya A., Garza-Villarreal E.A., Balducci T., Angeles-Valdez D., Souza R., Rittner L., Frayne R., Ji Y., Ferrari V., Chatterjee S., Dubost F., Schreiber S., Mattern H., Speck O., Haehn D., John C., Nürnberger A., Pedrosa J., Ferreira C., Aresta G., Cunha A., Campilho A., Suter Y., Garcia J., Lalande A., Vandenbossche V., Van Oevelen A., Duquesne K., Mekhzoum H., Vandemeulebroucke J., Audenaert E., Krebs C., van Leeuwen T., Vereecke E., Heidemeyer H., Röhrig R., Hölzle F., Badeli V., Krieger K., Gunzer M., Chen J., van Meegdenburg T., Dada A., Balzer M., Fragemann J., Jonske F., Rempe M., Malorodov S., Bahnsen F.H., Seibold C., Jaus A., Marinov Z., Jaeger P.F., Stiefelhagen R., Santos A.S., Lindo M., Ferreira A., Alves V., Kamp M., Abourayya A., Nensa F., Hörst F., Brehmer A., Heine L., Hanusrichter Y., Weßling M., Dudda M., Podleska L.E., Fink M.A., Keyl J., Tserpes K., Kim M.-S., Elhabian S., Lamecker H., Zukić D., Paniagua B., Wachinger C., Urschler M., Duong L., Wasserthal J., Hoyer P.F., Basu O., Maal T., Witjes M.J.H., Schiele G., Chang T.-C., Ahmadi S.-A., Luo P., Menze B., Reyes M., Deserno T.M., Davatzikos C., Puladi B., Fua P., Yuille A.L., Kleesiek J., Egger J.
MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
Biomedizinische Technik 70(1), 71–90, (2024) [bib]
@ARTICLE{li2024mald7190, author = {Li, J.~ and Zhou, Z.~ and Yang, J.~ and Pepe, A.~ and Gsaxner, C.~ and Luijten, G.~ and Qu, C.~ and Zhang, T.~ and Chen, X.~ and Li, W.~ and Wodzinski, M.~ and Friedrich, P.~ and Xie, K.~ and Jin, Y.~ and Ambigapathy, N.~ and Nasca, E.~ and Solak, N.~ and Melito, G.M.~ and Vu, V.D.~ and Memon, A.R.~ and Schlachta, C.~ and De Ribaupierre, S.~ and Patel, R.~ and Eagleson, R.~ and Chen, X.~ and M{\"a}chler, H.~ and Kirschke, J.S.~ and de la Rosa, E.~ and Christ, P.F.~ and Li, H.B.~ and Ellis, D.G.~ and Aizenberg, M.R.~ and Gatidis, S.~ and K{\"u}stner, T.~ and Shusharina, N.~ and Heller, N.~ and Andrearczyk, V.~ and Depeursinge, A.~ and Hatt, M.~ and Sekuboyina, A.~ and L{\"o}ffler, M.T.~ and Liebl, H.~ and Dorent, R.~ and Vercauteren, T.~ and Shapey, J.~ and Kujawa, A.~ and Cornelissen, S.~ and Langenhuizen, P.~ and Ben-Hamadou, A.~ and Rekik, A.~ and Pujades, S.~ and Boyer, E.~ and Bolelli, F.~ and Grana, C.~ and Lumetti, L.~ and Salehi, H.~ and Ma, J.~ and Zhang, Y.~ and Gharleghi, R.~ and Beier, S.~ and Sowmya, A.~ and Garza-Villarreal, E.A.~ and Balducci, T.~ and Angeles-Valdez, D.~ and Souza, R.~ and Rittner, L.~ and Frayne, R.~ and Ji, Y.~ and Ferrari, V.~ and Chatterjee, S.~ and Dubost, F.~ and Schreiber, S.~ and Mattern, H.~ and Speck, O.~ and Haehn, D.~ and John, C.~ and N{\"u}rnberger, A.~ and Pedrosa, J.~ and Ferreira, C.~ and Aresta, G.~ and Cunha, A.~ and Campilho, A.~ and Suter, Y.~ and Garcia, J.~ and Lalande, A.~ and Vandenbossche, V.~ and Van Oevelen, A.~ and Duquesne, K.~ and Mekhzoum, H.~ and Vandemeulebroucke, J.~ and Audenaert, E.~ and Krebs, C.~ and van Leeuwen, T.~ and Vereecke, E.~ and Heidemeyer, H.~ and R{\"o}hrig, R.~ and H{\"o}lzle, F.~ and Badeli, V.~ and Krieger, K.~ and Gunzer, M.~ and Chen, J.~ and van Meegdenburg, T.~ and Dada, A.~ and Balzer, M.~ and Fragemann, J.~ and Jonske, F.~ and Rempe, M.~ and Malorodov, S.~ and Bahnsen, F.H.~ and Seibold, C.~ and Jaus, A.~ and Marinov, Z.~ and Jaeger, P.F.~ and Stiefelhagen, R.~ and Santos, A.S.~ and Lindo, M.~ and Ferreira, A.~ and Alves, V.~ and Kamp, M.~ and Abourayya, A.~ and Nensa, F.~ and H{\"o}rst, F.~ and Brehmer, A.~ and Heine, L.~ and Hanusrichter, Y.~ and Weßling, M.~ and Dudda, M.~ and Podleska, L.E.~ and Fink, M.A.~ and Keyl, J.~ and Tserpes, K.~ and Kim, M.-S.~ and Elhabian, S.~ and Lamecker, H.~ and Zukić, D.~ and Paniagua, B.~ and Wachinger, C.~ and Urschler, M.~ and Duong, L.~ and Wasserthal, J.~ and Hoyer, P.F.~ and Basu, O.~ and Maal, T.~ and Witjes, M.J.H.~ and Schiele, G.~ and Chang, T.-C.~ and Ahmadi, S.-A.~ and Luo, P.~ and Menze, B.~ and Reyes, M.~ and Deserno, T.M.~ and Davatzikos, C.~ and Puladi, B.~ and Fua, P.~ and Yuille, A.L.~ and Kleesiek, J.~ and Egger, J.~}, title = {MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.}, journal = {Biomedizinische Technik}, year = {2024}, volume = {70}, number = {1}, pages = {71--90}, issn = {1862-278X 0013-5585}, doi = {10.1515/bmt-2024-0396}, keywords = {virtual reality;3D medical shapes;anatomy education;augmented reality;benchmark;shapeomics} } - Morano J., Aresta G., Bogunović H.
RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification.
Expert Systems with Applications 256:124970, (2024) [bib]
@ARTICLE{morano2024rrrn124970, author = {Morano, J.~ and Aresta, G.~ and Bogunović, H.~}, title = {RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification.}, journal = {Expert Systems with Applications}, year = {2024}, volume = {256}, pages = {124970}, doi = {10.1016/j.eswa.2024.124970}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200816080\&doi=10.1016%2fj.eswa.2024.124970\&partnerID=40\&md5=401e95eb96c0efd6d4a4c2dc9f048328} } - Araújo T., Aresta G., Schmidt-Erfurth U., Bogunovic H.
Robust Deep Learning for Automated AMD Screening and Staging Based on a Retinal Foundation Model.
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):2833, (2024) [bib]
@ARTICLE{araújo2024rdla2833, author = {Araújo, T.~ and Aresta, G.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {Robust Deep Learning for Automated AMD Screening and Staging Based on a Retinal Foundation Model.}, 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 = {2833}, issn = {0146-0404}, url = {https://iovs.arvojournals.org/article.aspx?articleid=2794495} } - Aresta G.M., Araújo T., Schmidt-Erfurth U., Bogunovic H.
Deep Learning for Efficient Screening for Retinal Disease from Large OCT Datasets by Knowledge-Based Distillation.
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):2369, (2024) [bib]
@ARTICLE{aresta2024dles2369, author = {Aresta, G.M.~ and Araújo, T.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {Deep Learning for Efficient Screening for Retinal Disease from Large OCT Datasets by Knowledge-Based Distillation.}, 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 = {2369}, issn = {1552-5783}, url = {https://iovs.arvojournals.org/article.aspx?articleid=2794511} } - Aresta G., Araujo T., Reiter G.S., Mai J., Riedl S., Grechenig C., Guymer R.H., Wu Z., Schmidt-Erfurth U., Bogunovic H.
Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients with Intermediate AMD.
Translational Vision Science and Technology 13(6):7, (2024) [bib]
@ARTICLE{aresta2024dnna7, author = {Aresta, G.~ and Araujo, T.~ and Reiter, G.S.~ and Mai, J.~ and Riedl, S.~ and Grechenig, C.~ and Guymer, R.H.~ and Wu, Z.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients with Intermediate AMD.}, journal = {Translational Vision Science and Technology}, year = {2024}, volume = {13}, number = {6}, pages = {7}, doi = {10.1167/tvst.13.6.7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196248418\&doi=10.1167%2ftvst.13.6.7\&partnerID=40\&md5=c32cef4d49efd8e76b5acef05514e772} } - 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} }