| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 349 | 2021 |
| Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 185* | 2021 |
| Deep learning regression for prostate cancer detection and grading in bi-parametric MRI C De Vente, P Vos, M Hosseinzadeh, J Pluim, M Veta IEEE Transactions on Biomedical Engineering 68 (2), 374-383, 2020 | 165 | 2020 |
| AIROGS: Artificial Intelligence for robust glaucoma screening challenge C De Vente, KA Vermeer, N Jaccard, H Wang, H Sun, F Khader, D Truhn, ... IEEE Transactions on Medical Imaging, 2023 | 73* | 2023 |
| Automated COVID-19 grading with convolutional neural networks in computed tomography scans: A systematic comparison C de Vente, LH Boulogne, KV Venkadesh, C Sital, N Lessmann, C Jacobs, ... IEEE transactions on artificial intelligence 3 (2), 129-138, 2021 | 28 | 2021 |
| A deep learning framework for the detection and quantification of reticular pseudodrusen and drusen on optical coherence tomography R Schwartz, H Khalid, S Liakopoulos, Y Ouyang, C de Vente, ... Translational vision science & technology 11 (12), 3-3, 2022 | 25 | 2022 |
| Characteristics of a large, labeled data set for the training of artificial intelligence for glaucoma screening with fundus photographs HG Lemij, C de Vente, CI Sánchez, KA Vermeer Ophthalmology Science 3 (3), 100300, 2023 | 17 | 2023 |
| Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images C de Vente, M Veta, O Razeghi, S Niederer, J Pluim, K Rhode, R Karim International Workshop on Statistical Atlases and Computational Models of …, 2018 | 9 | 2018 |
| Making AI transferable across OCT scanners from different vendors C de Vente, C González-Gonzalo, EF Thee, M van Grinsven, CCW Klaver, ... Investigative Ophthalmology & Visual Science 62 (8), 2118-2118, 2021 | 5 | 2021 |
| Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography C de Vente, B van Ginneken, CB Hoyng, CCW Klaver, CI Sánchez Medical Image Analysis 97, 103259, 2024 | 4 | 2024 |
| Simultaneous detection and grading of prostate cancer in multi-parametric MRI C de Vente, P Vos, J Pluim, M Veta | 4 | 2019 |
| Estimating uncertainty of deep neural networks for age-related macular degeneration grading using optical coherence tomography C de Vente, M van Grinsven, S De Zanet, A Mosinska, R Sznitman, ... Investigative Ophthalmology & Visual Science 61 (7), 1630-1630, 2020 | 3 | 2020 |
| Genetic Distinctions Between Reticular Pseudodrusen and Drusen: Insights from a Genome-Wide Association Study R Schwartz, AN Warwick, AP Khawaja, R Luben, H Khalid, S Phatak, ... medRxiv, 2024.09. 18.24313862, 2024 | 2 | 2024 |
| Generalizable deep learning for the detection of incomplete and complete retinal pigment epithelium and outer retinal atrophy: a Macustar report C de Vente, P Valmaggia, CB Hoyng, FG Holz, MM Islam, CCW Klaver, ... Translational Vision Science & Technology 13 (9), 11-11, 2024 | 2 | 2024 |
| Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MM Islam, C de Vente, B Liefers, C Klaver, EJ Bekkers, CI Sánchez Medical Imaging with Deep Learning, 672-693, 2024 | 1 | 2024 |
| Glaucomatous features in fundus photographs of eyes with ‘referable glaucoma’of a large population based labeled data set for training an artificial intelligence (AI) algorithm … HG Lemij, C de Vente, C Sánchez, J Cuadros, N Jaccard, K Vermeer Investigative Ophthalmology & Visual Science 63 (7), 2041–A0482-2041–A0482, 2022 | 1 | 2022 |
| Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen C Gonzalez-Gonzalo, EF Thee, B Liefers, C de Vente, CCW Klaver, ... Investigative Ophthalmology & Visual Science 62 (8), 86-86, 2021 | 1 | 2021 |
| Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions M Mohaiminul Islam, C de Vente, B Liefers, C Klaver, EJ Bekkers, ... arXiv e-prints, arXiv: 2412.04935, 2024 | | 2024 |
| Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution C de Vente, MM Islam, P Valmaggia, C Hoyng, A Tufail, CI Sánchez arXiv preprint arXiv:2410.09862, 2024 | | 2024 |
| Increasing Stroke Risk Correlated with Higher Reticular Pseudodrusen Counts: Evidence from the UK Biobank R Schwartz, A Olvera-Barrios, AN Warwick, H Khalid, S Phatak, ... Investigative Ophthalmology & Visual Science 65 (7), 1344-1344, 2024 | | 2024 |
Clara I. SánchezFull Professor, Informatics Institute, University of AmsterdamPatvirtintas el. paštas uva.nl
