| Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning J Engelmann, S Lessmann Expert Systems with Applications 174, 114582, 2021 | 200 | 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 | 11 | 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 | 10* | 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 | 10 | 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 | 4 | 2023 |
| Global explainability in aligned image modalities J Engelmann, A Storkey, MO Bernabeu arXiv preprint arXiv:2112.09591, 2021 | 4 | 2021 |
| 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, ... Investigative Ophthalmology & Visual Science 65 (6), 6-6, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| 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 Investigative Ophthalmology & Visual Science 65 (6), 10-10, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images J Burke, S Gibbon, J Engelmann, A Threlfall, Y Giarratano, C Hamid, ... arXiv preprint arXiv:2406.16466, 2024 | 1 | 2024 |
| 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 |
| OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data J Burke, J Engelmann, S Gibbon, C Hamid, D Moukaddem, D Pugh, ... arXiv preprint arXiv:2407.14128, 2024 | | 2024 |
| Effective Artificial Intelligence (AI)-based identification of Geographic Atrophy (GA) in ultra-widefield (UWF) imaging in mixed and age-related macular degeneration (AMD … J Engelmann, H Tabuchi, H Deguchi, T Yamauchi, M Bernabeu Investigative Ophthalmology & Visual Science 65 (9), PB0030-PB0030, 2024 | | 2024 |
| Real-World Performance Evaluation of an AI Model for Detecting Retinal Detachment in UWF Fundus Images H Tabuchi, J Engelmann, H Deguchi, N Ishitobi, M Bernabeu Investigative Ophthalmology & Visual Science 65 (9), PB0029-PB0029, 2024 | | 2024 |
| Arteriole and venule segmentation in infra-red scanning laser ophthalmoscope (IRSLO) images: a novel dataset and deep learning model A Threlfall, J Burke, S Gibbon, Y Giarratano, J Engelmann, B Dhillon, ... Investigative Ophthalmology & Visual Science 65 (7), 2401-2401, 2024 | | 2024 |
| Using latent diffusion models to generate synthetic OCTA images D Rashid, Y Giarratano, T MacGillivray, J Engelmann, B Dhillon, C Ritchie, ... Investigative Ophthalmology & Visual Science 65 (7), 3741-3741, 2024 | | 2024 |
| FINEQual: A taxonomy for fine-grained, functional quality assessment of retinal colour fundus images and triple-graded assessment of a random sample of UK Biobank images C Hamid, J Engelmann, F Buckmaster, F Yii, M Bernabeu Investigative Ophthalmology & Visual Science 65 (7), 5952-5952, 2024 | | 2024 |
| Repeatability and measurement noise of retinal Fractal Dimension using Deep Approximation of Retinal Traits (DART) and their relationship with image quality J Engelmann, L Gago, D Moukaddem, J Burke, A Storkey, M Bernabeu, ... Investigative Ophthalmology & Visual Science 65 (7), 5964-5964, 2024 | | 2024 |
| Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images J Burke, J Engelmann, C Hamid, D Moukaddem, D Pugh, N Dhaun, ... arXiv preprint arXiv:2405.14453, 2024 | | 2024 |
