| Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning J Engelmann, S Lessmann Expert Systems with Applications 174, 114582, 2021 | 180 | 2021 |
| Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning J Engelmann, AD McTrusty, IJC MacCormick, E Pead, A Storkey, ... Nature Machine Intelligence 4 (12), 1143-1154, 2022 | 10 | 2022 |
| Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes A Villaplana-Velasco, M Pigeyre, J Engelmann, K Rawlik, ... Communications Biology 6 (1), 523, 2023 | 8* | 2023 |
| Robust and efficient computation of retinal fractal dimension through deep approximation J Engelmann, A Villaplana-Velasco, A Storkey, MO Bernabeu Ophthalmic Medical Image Analysis: 9th International Workshop, OMIA 2022 …, 2022 | 7 | 2022 |
| Exclusion of poor quality fundus images biases health research linking retinal traits and systemic health J Engelmann, A Storkey, MB LLinares Investigative Ophthalmology & Visual Science 64 (8), 2922-2922, 2023 | 3 | 2023 |
| Global explainability in aligned image modalities J Engelmann, A Storkey, MO Bernabeu arXiv preprint arXiv:2112.09591, 2021 | 3 | 2021 |
| QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models J Engelmann, A Storkey, MO Bernabeu International Workshop on Ophthalmic Medical Image Analysis, 32-41, 2023 | 1 | 2023 |
| Deep learning (DL) identifies age as key axis of perceptual variation in fundus images–without training on fundus images J Engelmann, A Storkey, MO Bernabeu Investigative Ophthalmology & Visual Science 64 (9), PB004-PB004, 2023 | 1 | 2023 |
| Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population J Engelmann, S Kearney, A McTrusty, G McKinlay, MO Bernabeu, ... Translational Vision Science & Technology 13 (4), 19-19, 2024 | | 2024 |
| Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images H Tabuchi, J Engelmann, F Maeda, R Nishikawa, T Nagasawa, ... British Journal of Ophthalmology, 2024 | | 2024 |
| Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph J Engelmann, D Moukaddem, L Gago, N Strang, MO Bernabeu arXiv preprint arXiv:2403.06950, 2024 | | 2024 |
| Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography J Engelmann, J Burke, C Hamid, M Reid-Schachter, D Pugh, N Dhaun, ... arXiv preprint arXiv:2312.02956, 2023 | | 2023 |
| An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography J Burke, J Engelmann, C Hamid, M Reid-Schachter, T Pearson, D Pugh, ... Translational Vision Science & Technology 12 (11), 27-27, 2023 | | 2023 |
