Publications

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}
  }

• 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}
  }

• 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}
  }