Publikationen von Hrvoje Bogunović
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} } - 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} } - 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} } - 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} }