| A multi-modal deep neural network approach to bird-song identification B Fazekas, A Schindler, T Lidy, A Rauber arXiv preprint arXiv:1811.04448, 2018 | 29 | 2018 |
| Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification B Fazekas, D Lachinov, G Aresta, J Mai, U Schmidt-Erfurth, H Bogunović IEEE Journal of Biomedical and Health Informatics 27 (1), 41-52, 2022 | 11 | 2022 |
| SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors B Fazekas, G Aresta, D Lachinov, S Riedl, J Mai, U Schmidt-Erfurth, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT B Fazekas, J Morano, D Lachinov, G Aresta, H Bogunović arXiv preprint arXiv:2308.09331, 2023 | 2 | 2023 |
| Adapting Segment Anything Model (SAM) for Retinal OCT B Fazekas, J Morano, D Lachinov, G Aresta, H Bogunović International Workshop on Ophthalmic Medical Image Analysis, 92-101, 2023 | 1 | 2023 |
| Interactive deep learning-based retinal OCT layer segmentation refinement by regressing translation maps G Aresta, T Araújo, B Fazekas, J Mai, U Schmidt-Erfurth, H Bogunović IEEE Access, 2024 | | 2024 |
| Check for updates Adapting Segment Anything Model (SAM) for Retinal OCT B Fazekas, J Morano, D Lachinov, G Aresta, H Bogunović Ophthalmic Medical Image Analysis: 10th International Workshop, OMIA 2023 …, 2023 | | 2023 |
| Label-efficient retinal OCT classification and segmentation using image restoration-based self-supervised learning H Bogunovic, A Rivail, B Fazekas, D Lachinov, J Mai, U Schmidt-Erfurth Investigative Ophthalmology & Visual Science 64 (8), 5447-5447, 2023 | | 2023 |
| Large-scale bird song identification using convolutional neural networks B Fazekas Wien, 2018 | | 2018 |
