Publications by Marzieh Oghbaie
2026
- Oghbaie M., Araújo T., Reiter G.S., Bogunović H.
PiPViT: Patch-Based Visual Interpretable Prototypes for Retinal Image Analysis.
Biomedical Signal Processing and Control 117:109545, (2026) [bib]
@ARTICLE{oghbaie2026ppvi109545, author = {Oghbaie, M.~ and Araújo, T.~ and Reiter, G.S.~ and Bogunović, H.~}, title = {PiPViT: Patch-Based Visual Interpretable Prototypes for Retinal Image Analysis.}, journal = {Biomedical Signal Processing and Control}, year = {2026}, volume = {117}, pages = {109545}, doi = {10.1016/j.bspc.2026.109545}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105027474702\&doi=10.1016%2fj.bspc.2026.109545\&partnerID=40\&md5=3b1c247734a16fe3a90d9b2b423cefa9} }
2025
- Sükei E., Oghbaie M., Schmidt-Erfurth U., Klambauer G., Bogunovic H.
Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing.
In Proceedings 2025 IEEE 22nd International Symposium on Biomedical Imaging, Houston, TX, USA, 14-17 April 2025, IEEE, Piscataway, NJ, pp. 1-5, (2025) [bib]
@INPROCEEDINGS{suekei2025aordpp 15, author = {S{\"u}kei, E.~ and Oghbaie, M.~ and Schmidt-Erfurth, U.~ and Klambauer, G.~ and Bogunovic, H.~}, title = {Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing.}, booktitle = {Proceedings 2025 IEEE 22nd International Symposium on Biomedical Imaging, Houston, TX, USA, 14-17 April 2025}, year = {2025}, pages = {pp. 1-5}, address = {Piscataway, NJ}, publisher = {IEEE}, doi = {10.1109/ISBI60581.2025.10981206} } - Morano J., Fazekas B., Sükei E., Fecso R., Emre T., Gumpinger M., Faustmann G., Oghbaie M., Schmidt-Erfurth U., Bogunović H.
Multimodal Foundation Model and Benchmark for Comprehensive Retinal OCT Image Analysis.
NPJ Digital Medicine 8:576, (2025) [bib]
@ARTICLE{morano2025mfmb576, author = {Morano, J.~ and Fazekas, B.~ and S{\"u}kei, E.~ and Fecso, R.~ and Emre, T.~ and Gumpinger, M.~ and Faustmann, G.~ and Oghbaie, M.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~}, title = {Multimodal Foundation Model and Benchmark for Comprehensive Retinal OCT Image Analysis.}, journal = {NPJ Digital Medicine}, year = {2025}, volume = {8}, pages = {576}, issn = {2398-6352}, doi = {10.1038/s41746-025-01852-3} } - Sükei E., Oghbaie M., Jeremic N., Klambauer G., Bogunovic H., Schmidt-Erfurth U.
Advancing Retinal OCT-Based Disease Classification Using a Novel xLSTM-Based Framework for Variable B-Scan Volume Analysis.
Investigative Ophthalmology & Visual Science 66(8: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Salt Lake City, UT, 4-8 May 2025):4088, (2025) [bib]
@ARTICLE{suekei2025arod4088, author = {S{\"u}kei, E.~ and Oghbaie, M.~ and Jeremic, N.~ and Klambauer, G.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~}, title = {Advancing Retinal OCT-Based Disease Classification Using a Novel xLSTM-Based Framework for Variable B-Scan Volume Analysis.}, journal = {Investigative Ophthalmology \& Visual Science}, year = {2025}, volume = {66}, number = {8: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Salt Lake City, UT, 4-8 May 2025}, pages = {4088}, issn = {0146-0404}, url = {https://iovs.arvojournals.org/article.aspx?articleid=2804579\&resultClick=1} } - Oghbaie M., Sabaghi A., Hashemifard K., Akbari M.
When Deep Learning Deciphers Silent Video: A Survey on Automatic Deep Lip Reading.
Multimedia Tools and Applications 84, 40363–40405, (2025) [bib]
@ARTICLE{oghbaie2025wdld4036340405, author = {Oghbaie, M.~ and Sabaghi, A.~ and Hashemifard, K.~ and Akbari, M.~}, title = {When Deep Learning Deciphers Silent Video: A Survey on Automatic Deep Lip Reading.}, journal = {Multimedia Tools and Applications}, year = {2025}, volume = {84}, pages = {40363--40405}, doi = {10.1007/s11042-024-20156-4}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000625727\&doi=10.1007%2fs11042-024-20156-4\&partnerID=40\&md5=d559570c67555dafaaf91de8c0ace83f} }
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} }
2023
- Emre T., Oghbaie M., Chakravarty A., Rivail A., Riedl S., Mai J., P.N. Scholl H., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunović H.
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
In Antony B., Chen H., Fang H., Fu H., Li C.S., Zheng Y. (Eds.) Ophthalmic Medical Image Analysis: 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, 12 October 2023, Proceedings, Lecture Notes in Computer Science 14096, Springer, Cham, 132–141, (2023) [bib]
@INCOLLECTION{emre2023pd2m132141, author = {Emre, T.~ and Oghbaie, M.~ and Chakravarty, A.~ and Rivail, A.~ and Riedl, S.~ and Mai, J.~ and P.N. Scholl, H.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~}, title = {Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.}, booktitle = {Ophthalmic Medical Image Analysis: 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, 12 October 2023, Proceedings}, publisher = {Springer}, year = {2023}, editor = {Antony,B.;Chen,H.;Fang,H.;Fu,H.;Li,C.S.;Zheng,Y.}, number = {14096}, series = {Lecture Notes in Computer Science}, pages = {132--141}, address = {Cham}, url = {https://www.doi.org/10.1007/978-3-031-44013-7_14} } - 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} }