Publikationen von Teresa Manuel Sa Finisterra Araújo
2025
- 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} }
2024
- Oghbaie M., Araújo T., Schmidt-Erfurth U., Bogunović H.
VLFATRollout: Fully Transformer-Based Classifier for Retinal OCT Volumes.
Computerized Medical Imaging and Graphics 118:102452, (2024) [bib]
@ARTICLE{oghbaie2024vftc102452, author = {Oghbaie, M.~ and Araújo, T.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~}, title = {VLFATRollout: Fully Transformer-Based Classifier for Retinal OCT Volumes.}, journal = {Computerized Medical Imaging and Graphics}, year = {2024}, volume = {118}, pages = {102452}, issn = {1879-0771 0895-6111}, doi = {10.1016/j.compmedimag.2024.102452}, keywords = {Optical coherence tomography;3D volume classification;Explainability;Transformers} } - Rivail A., Araújo T., Schmidt-Erfurth U., Bogunovic H.
Pretraining of 3D Image Segmentation Models for Retinal OCT Using Denoising-Based Self-Supervised Learning.
Biomedical Optics Express 15(9), 5025–5040, (2024) [bib]
@ARTICLE{rivail2024p3is50255040, author = {Rivail, A.~ and Araújo, T.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {Pretraining of 3D Image Segmentation Models for Retinal OCT Using Denoising-Based Self-Supervised Learning.}, journal = {Biomedical Optics Express}, year = {2024}, volume = {15}, number = {9}, pages = {5025--5040}, issn = {2156-7085}, doi = {10.1364/BOE.524603} } - 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} }
2023
- Oghbaie M., Araújo T., Emre T., Schmidt-Erfurth U., Bogunović H.
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data.
In Greenspan H., Madabhushi A., Mousavi P., Salcudean S., Duncan J., Syeda-Mahmood T., Taylor R. (Eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2023, 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VI, Lecture Notes in Computer Science 14225, Springer, Cham, 358–367, (2023) [bib]
@INCOLLECTION{oghbaie2023teco358367, author = {Oghbaie, M.~ and Araújo, T.~ and Emre, T.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~}, title = {Transformer-Based End-to-End Classification of Variable-Length Volumetric Data.}, booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2023, 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VI}, publisher = {Springer}, year = {2023}, editor = {Greenspan,H.;Madabhushi,A.;Mousavi,P.;Salcudean,S.;Duncan,J.;Syeda-Mahmood,T.;Taylor,R.}, number = {14225}, series = {Lecture Notes in Computer Science}, pages = {358--367}, address = {Cham}, url = {https://doi.org/10.1007/978-3-031-43987-2_35} }