| Interpretable gender classification from retinal fundus images using BagNets I Ilanchezian, D Kobak, H Faber, F Ziemssen, P Berens, MS Ayhan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 18 | 2021 |
| Visual explanations for the detection of diabetic retinopathy from retinal fundus images V Boreiko, I Ilanchezian, MS Ayhan, S Müller, LM Koch, H Faber, ... International conference on medical image computing and computer-assisted …, 2022 | 10 | 2022 |
| Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest I Ilanchezian, P Vepakomma, A Singh, O Gupta, GN Prasanna, R Raskar arXiv preprint arXiv:1909.12734, 2019 | 2 | 2019 |
| Prediction of Malaria Vaccination Outcomes from Gene Expression Data. A Shayaan, I Ilanchezian, S Rao BIOINFORMATICS, 155-162, 2019 | 1 | 2019 |
| Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models I Ilanchezian, V Boreiko, L Kühlewein, Z Huang, MS Ayhan, M Hein, ... arXiv preprint arXiv:2311.11629, 2023 | | 2023 |
| Sparse Activations for Interpretable Disease Grading CF Baumgartner, KR Djoumessi Donteu, I Ilanchezian, L Kühlewein, ... PMLR, 2023 | | 2023 |
| Sparse Activations for Interpretable Disease Grading KRD Donteu, I Ilanchezian, L Kühlewein, H Faber, CF Baumgartner, ... Medical Imaging with Deep Learning, 2023 | | 2023 |
| Sparse Activations for Interpretable Disease Grading KR Donteu Djoumessi, I Ilanchezian, L Kühlewein, H Faber, ... medRxiv, 2023.03. 07.23286895, 2023 | | 2023 |
