| Evaluation and mitigation of the limitations of large language models in clinical decision-making P Hager, F Jungmann, R Holland, K Bhagat, I Hubrecht, M Knauer, ... Nature medicine, 1-10, 2024 | 14 | 2024 |
| Metadata-enhanced contrastive learning from retinal optical coherence tomography images R Holland, O Leingang, H Bogunović, S Riedl, L Fritsche, T Prevost, ... Medical Image Analysis 97, 103296, 2024 | 7 | 2024 |
| Automatic detection of bowel disease with residual networks R Holland, U Patel, P Lung, E Chotzoglou, B Kainz Predictive Intelligence in Medicine: Second International Workshop, PRIME …, 2019 | 7 | 2019 |
| Exploring healthy retinal aging with deep learning MJ Menten, R Holland, O Leingang, H Bogunović, AM Hagag, R Kaye, ... Ophthalmology Science 3 (3), 100294, 2023 | 5 | 2023 |
| A skeletonization algorithm for gradient-based optimization MJ Menten, JC Paetzold, VA Zimmer, S Shit, I Ezhov, R Holland, M Probst, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration R Holland, O Leingang, C Holmes, P Anders, R Kaye, S Riedl, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4* | 2023 |
| QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge H Bran, F Navarro, I Ezhov, A Bayat, D Das, F Kofler, S Shit, ... arXiv preprint arXiv:2405.18435, 2024 | 1 | 2024 |
| Spatiotemporal Representation Learning for Short and Long Medical Image Time Series C Shen, MJ Menten, H Bogunović, U Schmidt-Erfurth, H Scholl, ... arXiv preprint arXiv:2403.07513, 2024 | 1 | 2024 |
| Deep-learning-based clustering of OCT images for automated biomarker discovery in age-related macular degeneration R Holland, O Leingang, AM Hagag, C Holmes, P Anders, JCC Paetzold, ... Investigative Ophthalmology & Visual Science 64 (8), 1283-1283, 2023 | 1 | 2023 |
| Self-supervised pretraining enables deep learning-based classification of AMD with fewer annotations R Holland, MJ Menten, O Leingang, H Bogunovic, AM Hagag, R Kaye, ... Investigative Ophthalmology & Visual Science 63 (7), 3004–F0274-3004–F0274, 2022 | 1 | 2022 |
| Deep Learning–Based Clustering of OCT Images for Biomarker Discovery in Age-Related Macular Degeneration (PINNACLE Study Report 4) R Holland, R Kaye, AM Hagag, O Leingang, TRP Taylor, H Bogunović, ... Ophthalmology Science 4 (6), 100543, 2024 | | 2024 |
| Specialist vision-language models for clinical ophthalmology R Holland, TRP Taylor, C Holmes, S Riedl, J Mai, M Patsiamanidi, ... arXiv preprint arXiv:2407.08410, 2024 | | 2024 |
| Exploring healthy retinal aging with deep learning A Lotery, M Menten, R Holland, O Leingang, H Bogunovic, AM Hagag, ... Ophthalmology Science 3 (3), 2023 | | 2023 |
| Discovery of imaging biomarkers for healthy aging and age-related macular degeneration using counterfactual generative adversarial networks MJ Menten, O Leingang, H Bogunovic, R Holland, AM Hagag, R Kaye, ... Investigative Ophthalmology & Visual Science 63 (7), 3855-3855, 2022 | | 2022 |
| Automated deep learning-based AMD stage detection in real-world OCT datasets O Leingang, H Bogunovic, S Riedl, A Chakravarty, MJ Menten, R Holland, ... Investigative Ophthalmology & Visual Science 63 (7), 2106–F0095-2106–F0095, 2022 | | 2022 |
| A skeletonization algorithm for gradient-based optimization–supplementary material MJ Menten, JC Paetzold, VA Zimmer, S Shit, I Ezhov, R Holland, M Probst, ... | | |
Daniel RueckertTechnical University of Munich and Imperial College London在 tum.de 的电子邮件经过验证
