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Publikationen

Publikationen von Hrvoje Bogunović

2025

  • 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

  • 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}
    }
  • Holland R., Kaye R., Hagag A., Leingang O., Taylor T., Bogunovic H., Schmidt-Erfurth U., Scholl H., Rueckert D., Lotery A., Sivaprasad S., Menten M.
    Deep Learning-Based Clustering of OCT Images for Biomarker Discovery in Age-Related Macular Degeneration (PINNACLE Study Report 4).
    Ophthalmology Science 4(6):100543, (2024) [bib]
    
    @ARTICLE{holland2024dlco100543,
      author = {Holland, R.~ and Kaye, R.~ and Hagag, A.~ and Leingang, O.~ and Taylor, T.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~ and Scholl, H.~ and Rueckert, D.~ and Lotery, A.~ and Sivaprasad, S.~ and Menten, M.~},
      title = {Deep Learning-Based Clustering of OCT Images for Biomarker Discovery in Age-Related Macular Degeneration (PINNACLE Study Report 4).},
      journal = {Ophthalmology Science},
      year = {2024},
      volume = {4},
      number = {6},
      pages = {100543},
      issn = {2666-9145},
      doi = {10.1016/j.xops.2024.100543}
    }
  • Birner K., Reiter G.S., Steiner I., Deák G., Mohamed H., Schürer-Waldheim S., Gumpinger M., Bogunović H., Schmidt-Erfurth U.
    Topographic and Quantitative Correlation of Structure and Function Using Deep Learning in Subclinical Biomarkers of Intermediate Age-Related Macular Degeneration.
    Scientific Reports 14:28165, (2024) [bib]
    
    @ARTICLE{birner2024tqcs28165,
      author = {Birner, K.~ and Reiter, G.S.~ and Steiner, I.~ and Deák, G.~ and Mohamed, H.~ and Sch{\"u}rer-Waldheim, S.~ and Gumpinger, M.~ and Bogunović, H.~ and Schmidt-Erfurth, U.~},
      title = {Topographic and Quantitative Correlation of Structure and Function Using Deep Learning in Subclinical Biomarkers of Intermediate Age-Related Macular Degeneration.},
      journal = {Scientific Reports},
      year = {2024},
      volume = {14},
      pages = {28165},
      issn = {2045-2322},
      doi = {10.1038/s41598-024-72522-9},
      keywords = {Female;Humans;Male;Aged;Middle Aged;Aged;80 and over;Visual Field Tests;*Biomarkers;*Deep Learning;*Tomography;Optical Coherence/methods;*Macular Degeneration/pathology/diagnostic imaging/physiopathology;Retinal Drusen/diagnostic imaging/physiopathology/pathology}
    }
  • Mares V., Reiter G.S., Gumpinger M., Leigang O., Bogunovic H., Barthelmes D., Nehemy M.B., Schmidt-Erfurth U.
    Correlation of Retinal Fluid and Photoreceptor and RPE Loss in Neovascular AMD by Automated Quantification, a Real-World FRB! Analysis.
    Acta Ophthalmologica, (2024) [bib]
    
    @ARTICLE{mares2024crfp,
      author = {Mares, V.~ and Reiter, G.S.~ and Gumpinger, M.~ and Leigang, O.~ and Bogunovic, H.~ and Barthelmes, D.~ and Nehemy, M.B.~ and Schmidt-Erfurth, U.~},
      title = {Correlation of Retinal Fluid and Photoreceptor and RPE Loss in Neovascular AMD by Automated Quantification, a Real-World FRB! Analysis.},
      journal = {Acta Ophthalmologica},
      year = {2024},
      issn = {1755-3768 1755-375X},
      doi = {10.1111/aos.16799},
      keywords = {retina;optical coherence tomography;geographic atrophy;image analysis;artificial intelligence;machine learning;anti‐VEGF;neovascular AMD;photoreceptor}
    }
  • Coulibaly L.M., Birner K., Zarghami A., Gumpinger M., Schürer-Waldheim S., Fuchs P., Bogunović H., Schmidt-Erfurth U., Reiter G.S.
    Repeatability of Microperimetry in Areas of RPE and Photoreceptor Loss in Geographic Atrophy Supported by AI-Based OCT Biomarker Quantification.
    American Journal of Ophthalmology, (2024) [bib]
    
    @ARTICLE{coulibaly2024rmar,
      author = {Coulibaly, L.M.~ and Birner, K.~ and Zarghami, A.~ and Gumpinger, M.~ and Sch{\"u}rer-Waldheim, S.~ and Fuchs, P.~ and Bogunović, H.~ and Schmidt-Erfurth, U.~ and Reiter, G.S.~},
      title = {Repeatability of Microperimetry in Areas of RPE and Photoreceptor Loss in Geographic Atrophy Supported by AI-Based OCT Biomarker Quantification.},
      journal = {American Journal of Ophthalmology},
      year = {2024},
      issn = {1879-1891 0002-9394},
      doi = {10.1016/j.ajo.2024.11.005},
      keywords = {Geographic atrophy;AMD;Automated OCT-Biomarker quantification;Fundus controlled perimetry;Microperimetry;Photoreceptor integrity;Test-retest repeatability}
    }
  • Reiter G.S., Lachinov D., Bühl W., Weigert G., Grechenig C., Mai J., Bogunović H., Schmidt-Erfurth U.
    A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.
    Ophthalmology Retina, (2024) [bib]
    
    @ARTICLE{reiter2024anmc,
      author = {Reiter, G.S.~ and Lachinov, D.~ and B{\"u}hl, W.~ and Weigert, G.~ and Grechenig, C.~ and Mai, J.~ and Bogunović, H.~ and Schmidt-Erfurth, U.~},
      title = {A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.},
      journal = {Ophthalmology Retina},
      year = {2024},
      issn = {2468-6530},
      doi = {10.1016/j.oret.2024.10.029}
    }
  • Sükei E., Rumetshofer E., Schmidinger N., Mayr A., Schmidt-Erfurth U., Klambauer G., Bogunović H.
    Multi-Modal Representation Learning in Retinal Imaging Using Self-Supervised Learning for Enhanced Clinical Predictions.
    Scientific Reports 14:26802, (2024) [bib]
    
    @ARTICLE{suekei2024mrlr26802,
      author = {S{\"u}kei, E.~ and Rumetshofer, E.~ and Schmidinger, N.~ and Mayr, A.~ and Schmidt-Erfurth, U.~ and Klambauer, G.~ and Bogunović, H.~},
      title = {Multi-Modal Representation Learning in Retinal Imaging Using Self-Supervised Learning for Enhanced Clinical Predictions.},
      journal = {Scientific Reports},
      year = {2024},
      volume = {14},
      pages = {26802},
      issn = {2045-2322},
      doi = {10.1038/s41598-024-78515-y},
      keywords = {Humans;Fundus Oculi;Image Processing;Computer-Assisted/methods;Artificial Intelligence;*Tomography;Optical Coherence/methods;*Retina/diagnostic imaging;*Supervised Machine Learning;Contrastive pre-training;Multi-modal imaging;Multimodal Imaging/methods;Predictive modeling;Representation learning;Retinal imaging}
    }
  • 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}
    }
  • Emre T., Chakravarty A., Lachinov D., Rivail A., Schmidt-Erfurth U., Bogunović H.
    Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
    In Linguraru M.G., Dou Q., Feragen A., Giannarou S., Glocker B., Lekadir K., Schnabel J.A. (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part XII, Lecture Notes in Computer Science 15012, Springer, Cham, 196–206, (2024) [bib]
    
    @INCOLLECTION{emre2024ltef196206,
      author = {Emre, T.~ and Chakravarty, A.~ and Lachinov, D.~ and Rivail, A.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~},
      title = {Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.},
      booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part XII},
      publisher = {Springer},
      year = {2024},
      editor = {Linguraru,M.G.;Dou,Q.;Feragen,A.;Giannarou,S.;Glocker,B.;Lekadir,K.;Schnabel,J.A.},
      number = {15012},
      series = {Lecture Notes in Computer Science},
      pages = {196--206},
      address = {Cham},
      month = {oct},
      url = {https://doi.org/10.1007/978-3-031-72390-2_19}
    }
  • Stino H., Birner K., Hinterhuber L., Struppe A., Gumpinger M., Schürer-Waldheim S., Bogunovic H., Schmidt-Erfurth U., Pollreisz A., Reiter G.S.
    Influence of OCT Biomarkers on Microperimetry Intra- and Interdevice Repeatability in Diabetic Macular Edema.
    Scientific Reports 14:23342, (2024) [bib]
    
    @ARTICLE{stino2024iobm23342,
      author = {Stino, H.~ and Birner, K.~ and Hinterhuber, L.~ and Struppe, A.~ and Gumpinger, M.~ and Sch{\"u}rer-Waldheim, S.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~ and Pollreisz, A.~ and Reiter, G.S.~},
      title = {Influence of OCT Biomarkers on Microperimetry Intra- and Interdevice Repeatability in Diabetic Macular Edema.},
      journal = {Scientific Reports},
      year = {2024},
      volume = {14},
      pages = {23342},
      issn = {2045-2322},
      doi = {10.1038/s41598-024-74230-w},
      keywords = {Female;Humans;Male;Aged;Middle Aged;Reproducibility of Results;*Biomarkers;*Tomography;Optical Coherence/methods;*Diabetic Retinopathy/physiopathology/diagnosis;*Macular Edema/physiopathology/diagnosis;*Visual Field Tests/methods}
    }
  • Chakravarty A., Emre T., Lachinov D., Rivail A., Scholl H., Fritsche L., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunović H.
    Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
    In Linguraru M.G., Dou Q., Feragen A., Giannarou S., Glocker B., Lekadir K., Schnabel J.A. (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part V, Lecture Notes in Computer Science 15005, Springer, Cham, 273–283, (2024) [bib]
    
    @INCOLLECTION{chakravarty2024fdpw273283,
      author = {Chakravarty, A.~ and Emre, T.~ and Lachinov, D.~ and Rivail, A.~ and Scholl, H.~ and Fritsche, L.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~},
      title = {Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.},
      booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part V},
      publisher = {Springer},
      year = {2024},
      editor = {Linguraru,M.G.;Dou,Q.;Feragen,A.;Giannarou,S.;Glocker,B.;Lekadir,K.;Schnabel,J.A.},
      number = {15005},
      series = {Lecture Notes in Computer Science},
      pages = {273--283},
      address = {Cham},
      doi = {10.1007/978-3-031-72086-4_26},
      url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206571158\&doi=10.1007%2f978-3-031-72086-4_26\&partnerID=40\&md5=779eb79b2e5c5c1820ca5fd47d7a1b67}
    }
  • Reiter G., Mares V., Leingang O., Fuchs P., Bogunovic H., Barthelmes D., Schmidt-Erfurth U.
    Long-Term Effect of Fluid Volumes during the Maintenance Phase in Neovascular Age-Related Macular Degeneration: Results from Fight Retinal Blindness!
    Canadian Journal of Ophthalmology 59(5), 350–357, (2024) [bib]
    
    @ARTICLE{reiter2024lefv350357,
      author = {Reiter, G.~ and Mares, V.~ and Leingang, O.~ and Fuchs, P.~ and Bogunovic, H.~ and Barthelmes, D.~ and Schmidt-Erfurth, U.~},
      title = {Long-Term Effect of Fluid Volumes during the Maintenance Phase in Neovascular Age-Related Macular Degeneration: Results from Fight Retinal Blindness!},
      journal = {Canadian Journal of Ophthalmology},
      year = {2024},
      volume = {59},
      number = {5},
      pages = {350--357},
      issn = {0008-4182},
      doi = {10.1016/j.jcjo.2023.10.017}
    }
  • Jeremic N., Pawloff M., Lachinov D., Rokitansky S., Hasun M., Weidinger F., Pollreisz A., Bogunovic H., Schmidt-Erfurth U.
    Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers.
    Investigative Ophthalmology & Visual Science 65(12):15, (2024) [bib]
    
    @ARTICLE{jeremic2024ssca15,
      author = {Jeremic, N.~ and Pawloff, M.~ and Lachinov, D.~ and Rokitansky, S.~ and Hasun, M.~ and Weidinger, F.~ and Pollreisz, A.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers.},
      journal = {Investigative Ophthalmology \& Visual Science},
      year = {2024},
      volume = {65},
      number = {12},
      pages = {15},
      doi = {10.1167/iovs.65.12.15}
    }
  • Reiter G.S., Mai J., Riedl S., Birner K., Frank S., Bogunovic H., Schmidt-Erfurth U.
    AI in the Clinical Management of GA: A Novel Therapeutic Universe Requires Novel Tools.
    Progress in Retinal and Eye Research 103:101305, (2024) [bib]
    
    @ARTICLE{reiter2024acmg101305,
      author = {Reiter, G.S.~ and Mai, J.~ and Riedl, S.~ and Birner, K.~ and Frank, S.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {AI in the Clinical Management of GA: A Novel Therapeutic Universe Requires Novel Tools.},
      journal = {Progress in Retinal and Eye Research},
      year = {2024},
      volume = {103},
      pages = {101305},
      issn = {1873-1635 1350-9462},
      doi = {10.1016/j.preteyeres.2024.101305}
    }
  • Mai J., Reiter G.S., Riedl S., Vogl W.-D., Sadeghipour A., Foos E., McKeown A., Bogunovic H., Schmidt-Erfurth U.
    Quantitative Comparison of Automated OCT and Conventional FAF-Based Geographic Atrophy Measurements in the Phase 3 OAKS/DERBY Trials.
    Scientific Reports 14:20531, (2024) [bib]
    
    @ARTICLE{mai2024qcao20531,
      author = {Mai, J.~ and Reiter, G.S.~ and Riedl, S.~ and Vogl, W.-D.~ and Sadeghipour, A.~ and Foos, E.~ and McKeown, A.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {Quantitative Comparison of Automated OCT and Conventional FAF-Based Geographic Atrophy Measurements in the Phase 3 OAKS/DERBY Trials.},
      journal = {Scientific Reports},
      year = {2024},
      volume = {14},
      pages = {20531},
      issn = {2045-2322},
      doi = {10.1038/s41598-024-71496-y},
      keywords = {Female;Humans;Male;Aged;Aged;80 and over;Disease Progression;Optical coherence tomography;Fluorescein Angiography/methods;Deep learning;Artificial intelligence;*Tomography;Optical Coherence/methods;*Retinal Pigment Epithelium/pathology/diagnostic imaging;*Geographic Atrophy/diagnostic imaging/drug therapy;Fundus autofluorescence;Geographic atrophy;Immunoglobulin Fab Fragments;Macular Degeneration/drug therapy/diagnostic imaging/pathology}
    }
  • 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}
    }
  • Chakravarty A., Emre T., Leingang O., Riedl S., Mai J., Scholl H.P.N., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunovic H.
    Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes.
    IEEE Transactions on Medical Imaging 43(9), 3224–3239, (2024) [bib]
    
    @ARTICLE{chakravarty2024mswl32243239,
      author = {Chakravarty, A.~ and Emre, T.~ and Leingang, O.~ and Riedl, S.~ and Mai, J.~ and Scholl, H.P.N.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~},
      title = {Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes.},
      journal = {IEEE Transactions on Medical Imaging},
      year = {2024},
      volume = {43},
      number = {9},
      pages = {3224--3239},
      doi = {10.1109/TMI.2024.3390940}
    }
  • Emre T., Chakravarty A., Rivail A., Lachinov D., Leingang O., Riedl S., Mai J., Scholl H., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunovic H., for the PINNACLE Consortium
    3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
    IEEE Transactions on Medical Imaging 43(9), 3200–3210, (2024) [bib]
    
    @ARTICLE{emre20243tnl32003210,
      author = {Emre, T.~ and Chakravarty, A.~ and Rivail, A.~ and Lachinov, D.~ and Leingang, O.~ and Riedl, S.~ and Mai, J.~ and Scholl, H.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~ and {for the PINNACLE Consortium}},
      title = {3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.},
      journal = {IEEE Transactions on Medical Imaging},
      year = {2024},
      volume = {43},
      number = {9},
      pages = {3200--3210},
      issn = {0278-0062},
      doi = {10.1109/TMI.2024.3391215}
    }
  • Sükei E., Rumetshofer E., Schmidinger N., Mayr A., Schmidt-Erfurth U., Klambauer G., Bogunović H.
    Improving Clinical Predictions with Multi-Modal Pre-Training in Retinal Imaging.
    In Proceedings IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, 27–30 May 2024, IEEE, Piscataway, NJ, (2024) [bib]
    
    @INPROCEEDINGS{suekei2024icpw,
      author = {S{\"u}kei, E.~ and Rumetshofer, E.~ and Schmidinger, N.~ and Mayr, A.~ and Schmidt-Erfurth, U.~ and Klambauer, G.~ and Bogunović, H.~},
      title = {Improving Clinical Predictions with Multi-Modal Pre-Training in Retinal Imaging.},
      booktitle = {Proceedings IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, 27–30 May 2024},
      year = {2024},
      address = {Piscataway, NJ},
      month = {aug},
      publisher = {IEEE},
      doi = {10.1109/ISBI56570.2024.10635447},
      url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203401337\&doi=10.1109%2fISBI56570.2024.10635447\&partnerID=40\&md5=d998079f3abb9b54ab1e1d79459b7387}
    }
  • Schranz M., Bogunovic H., Deak G., Sadeghipour A., Reiter G.S., Schmidt-Erfurth U.
    Linking Disease Activity with Optical Coherence Tomography Angiography in Neovascular Age Related Macular Degeneration Using Artificial Intelligence.
    Scientific Reports 14:19278, (2024) [bib]
    
    @ARTICLE{schranz2024ldaw19278,
      author = {Schranz, M.~ and Bogunovic, H.~ and Deak, G.~ and Sadeghipour, A.~ and Reiter, G.S.~ and Schmidt-Erfurth, U.~},
      title = {Linking Disease Activity with Optical Coherence Tomography Angiography in Neovascular Age Related Macular Degeneration Using Artificial Intelligence.},
      journal = {Scientific Reports},
      year = {2024},
      volume = {14},
      pages = {19278},
      issn = {2045-2322},
      doi = {10.1038/s41598-024-70234-8},
      keywords = {Female;Humans;Male;Aged;Aged;80 and over;Angiogenesis Inhibitors/therapeutic use;Fluorescein Angiography/methods;Artificial Intelligence;Deep learning;Age-related macular degeneration;*Tomography;Optical Coherence/methods;Choroidal Neovascularization/diagnostic imaging/pathology;Deep Learning;Macular Degeneration/diagnostic imaging/pathology;Macular neovascular membrane;Optical coherence tomography angiography;Retinal fluid;Vascular Endothelial Growth Factor A/metabolism;Wet Macular Degeneration/diagnostic imaging/drug therapy}
    }
  • Schmidt-Erfurth U., Mai J., Reiter G.S., Riedl S., Vogl W.-D., Sadeghipour A., McKeown A., Foos E., Scheibler L., Bogunovic H.
    Disease Activity and Therapeutic Response to Pegcetacoplan for Geographic Atrophy Identified by Deep Learning-Based Analysis of OCT.
    Ophthalmology, (2024) [bib]
    
    @ARTICLE{schmidterfurth2024datr,
      author = {Schmidt-Erfurth, U.~ and Mai, J.~ and Reiter, G.S.~ and Riedl, S.~ and Vogl, W.-D.~ and Sadeghipour, A.~ and McKeown, A.~ and Foos, E.~ and Scheibler, L.~ and Bogunovic, H.~},
      title = {Disease Activity and Therapeutic Response to Pegcetacoplan for Geographic Atrophy Identified by Deep Learning-Based Analysis of OCT.},
      journal = {Ophthalmology},
      year = {2024},
      issn = {1549-4713 0161-6420},
      doi = {10.1016/j.ophtha.2024.08.017}
    }
  • Holland R., Leingang O., Bogunović H., Riedl S., Fritsche L., Prevost T., Scholl H.P.N., Schmidt-Erfurth U., Sivaprasad S., Lotery A.J., Rueckert D., Menten M.J.
    Metadata-Enhanced Contrastive Learning from Retinal Optical Coherence Tomography Images.
    Medical Image Analysis 97:103296, (2024) [bib]
    
    @ARTICLE{holland2024mclr103296,
      author = {Holland, R.~ and Leingang, O.~ and Bogunović, H.~ and Riedl, S.~ and Fritsche, L.~ and Prevost, T.~ and Scholl, H.P.N.~ and Schmidt-Erfurth, U.~ and Sivaprasad, S.~ and Lotery, A.J.~ and Rueckert, D.~ and Menten, M.J.~},
      title = {Metadata-Enhanced Contrastive Learning from Retinal Optical Coherence Tomography Images.},
      journal = {Medical Image Analysis},
      year = {2024},
      volume = {97},
      pages = {103296},
      issn = {1361-8423 1361-8415},
      doi = {10.1016/j.media.2024.103296},
      keywords = {Contrastive learning;Longitudinal data;Medical metadata;Retinal OCT;Self-supervised learning}
    }
  • Haj Najeeb B., Gerendas B.S., Deak G.G., Leingang O., Bogunovic H., Schmidt-Erfurth U.
    An Automated Comparative Analysis of the Exudative Biomarkers in Neovascular Age-Related Macular Degeneration, The RAP Study: Report 6.
    American Journal of Ophthalmology 264, 53–65, (2024) [bib]
    
    @ARTICLE{hajnajeeb2024acae5365,
      author = {Haj Najeeb, B.~ and Gerendas, B.S.~ and Deak, G.G.~ and Leingang, O.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {An Automated Comparative Analysis of the Exudative Biomarkers in Neovascular Age-Related Macular Degeneration, The RAP Study: Report 6.},
      journal = {American Journal of Ophthalmology},
      year = {2024},
      volume = {264},
      pages = {53--65},
      doi = {10.1016/j.ajo.2024.02.018},
      url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190303828\&doi=10.1016%2fj.ajo.2024.02.018\&partnerID=40\&md5=b488b0122d623eef5f0f2138f6040d50}
    }
  • Frank S., Reiter G.S., Leingang O., Fuchs P., Coulibaly L.M., Mares V., Bogunovic H., Schmidt-Erfurth U.
    Advances in Photoreceptor and Retinal Pigment Epithelium Quantifications in Intermediate Age-Related Macular Degeneration: High-Res versus Standard Spectralis Optical Coherence Tomography.
    Retina 44(8), 1351–1359, (2024) [bib]
    
    @ARTICLE{frank2024aprp13511359,
      author = {Frank, S.~ and Reiter, G.S.~ and Leingang, O.~ and Fuchs, P.~ and Coulibaly, L.M.~ and Mares, V.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {Advances in Photoreceptor and Retinal Pigment Epithelium Quantifications in Intermediate Age-Related Macular Degeneration: High-Res versus Standard Spectralis Optical Coherence Tomography.},
      journal = {Retina},
      year = {2024},
      volume = {44},
      number = {8},
      pages = {1351--1359},
      issn = {1539-2864 0275-004X},
      doi = {10.1097/IAE.0000000000004118},
      keywords = {Female;Humans;Male;Aged;Middle Aged;Aged;80 and over;Visual Acuity/physiology;*Tomography;Optical Coherence/methods;*Retinal Pigment Epithelium/pathology/diagnostic imaging;Macular Degeneration/diagnosis/physiopathology;Photoreceptor Cells;Vertebrate/pathology;Retinal Drusen/diagnosis/diagnostic imaging}
    }
  • Jebril H., Esengönül M., Bogunović H.
    Anomaly Detection in Optical Coherence Tomography Angiography (OCTA) with a Vector-Quantized Variational Auto-Encoder (VQ-VAE).
    Bioengineering 11(7):682, (2024) [bib]
    
    @ARTICLE{jebril2024adoc682,
      author = {Jebril, H.~ and Eseng{\"o}n{\"u}l, M.~ and Bogunović, H.~},
      title = {Anomaly Detection in Optical Coherence Tomography Angiography (OCTA) with a Vector-Quantized Variational Auto-Encoder (VQ-VAE).},
      journal = {Bioengineering},
      year = {2024},
      volume = {11},
      number = {7},
      pages = {682},
      issn = {2306-5354},
      doi = {10.3390/bioengineering11070682},
      keywords = {retina;deep learning;OCTA;anomaly detection;epistemic uncertainty;ophthalmology;VQ-VAE}
    }
  • Riedl S., Schmidt-Erfurth U., Rivail A., Birner K., Mai J., Vogl W.-D., Wu Z., Guymer R.H., Bogunovic H., Reiter G.S.
    Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning.
    Investigative Ophthalmology & Visual Science 65(8):30, (2024) [bib]
    
    @ARTICLE{riedl2024smcp30,
      author = {Riedl, S.~ and Schmidt-Erfurth, U.~ and Rivail, A.~ and Birner, K.~ and Mai, J.~ and Vogl, W.-D.~ and Wu, Z.~ and Guymer, R.H.~ and Bogunovic, H.~ and Reiter, G.S.~},
      title = {Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning.},
      journal = {Investigative Ophthalmology \& Visual Science},
      year = {2024},
      volume = {65},
      number = {8},
      pages = {30},
      issn = {1552-5783 0146-0404},
      doi = {10.1167/iovs.65.8.30},
      keywords = {Female;Humans;Male;Aged;Middle Aged;Aged;80 and over;Follow-Up Studies;Disease Progression;Atrophy;*Deep Learning;*Geographic Atrophy/diagnosis;*Tomography;Optical Coherence/methods;Retinal Drusen/diagnosis;Retinal Pigment Epithelium/pathology/diagnostic imaging}
    }
  • Mai J., Lachinov D., Reiter G.S., Riedl S., Grechenig C., Bogunovic H., Schmidt-Erfurth U.
    Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT.
    Ophthalmology Science 4(4):100466, (2024) [bib]
    
    @ARTICLE{mai2024dlpi100466,
      author = {Mai, J.~ and Lachinov, D.~ and Reiter, G.S.~ and Riedl, S.~ and Grechenig, C.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~},
      title = {Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT.},
      journal = {Ophthalmology Science},
      year = {2024},
      volume = {4},
      number = {4},
      pages = {100466},
      doi = {10.1016/j.xops.2024.100466},
      url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189043309\&doi=10.1016%2fj.xops.2024.100466\&partnerID=40\&md5=9bdb89382ba2b5094fb2de3764fbd1a5}
    }
  • Mares V., Schmidt-Erfurth U.M., Leingang O., Fuchs P., Nehemy M.B., Bogunovic H., Barthelmes D., Reiter G.S.
    Approved AI-Based Fluid Monitoring to Identify Morphological and Functional Treatment Outcomes in Neovascular Age-Related Macular Degeneration in Real-World Routine.
    British Journal of Ophthalmology 108(7), 971–977, (2024) [bib]
    
    @ARTICLE{mares2024aafm971977,
      author = {Mares, V.~ and Schmidt-Erfurth, U.M.~ and Leingang, O.~ and Fuchs, P.~ and Nehemy, M.B.~ and Bogunovic, H.~ and Barthelmes, D.~ and Reiter, G.S.~},
      title = {Approved AI-Based Fluid Monitoring to Identify Morphological and Functional Treatment Outcomes in Neovascular Age-Related Macular Degeneration in Real-World Routine.},
      journal = {British Journal of Ophthalmology},
      year = {2024},
      volume = {108},
      number = {7},
      pages = {971--977},
      doi = {10.1136/bjo-2022-323014},
      url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173725696\&doi=10.1136%2fbjo-2022-323014\&partnerID=40\&md5=5abd7631f95a992d9ee2e865438ef4da}
    }
  • 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}
    }
  • Hollaus M., Georgopoulos M., Iby J., Brugger J., Leingang O., Bogunovic H., Schmidt-Erfurth U., Sacu S.
    Analysing Early Changes of Photoreceptor Layer Thickness Following Surgery in Eyes with Epiretinal Membranes.
    Eye 38(5), 863–870, (2024) [bib]
    
    @ARTICLE{hollaus2024aecp863870,
      author = {Hollaus, M.~ and Georgopoulos, M.~ and Iby, J.~ and Brugger, J.~ and Leingang, O.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~ and Sacu, S.~},
      title = {Analysing Early Changes of Photoreceptor Layer Thickness Following Surgery in Eyes with Epiretinal Membranes.},
      journal = {Eye},
      year = {2024},
      volume = {38},
      number = {5},
      pages = {863--870},
      issn = {1476-5454 0950-222X},
      doi = {10.1038/s41433-023-02793-5}
    }
  • 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}
    }
  • Fang H., Li F., Wu J., Fu H., Sun X., Orlando J.I., Bogunović H., Zhang X., Xu Y.
    Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
    Scientific Data 11:99, (2024) [bib]
    
    @ARTICLE{fang2024ofpd99,
      author = {Fang, H.~ and Li, F.~ and Wu, J.~ and Fu, H.~ and Sun, X.~ and Orlando, J.I.~ and Bogunović, H.~ and Zhang, X.~ and Xu, Y.~},
      title = {Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.},
      journal = {Scientific Data},
      year = {2024},
      volume = {11},
      pages = {99},
      issn = {2052-4463},
      doi = {10.1038/s41597-024-02911-2},
      url = {https://doi.org/10.1038/s41597-024-02911-2}
    }