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Our PUBLICATIONS

journal articles

8TOTAL RESOURCES
C. de Vente, P. Valmaggia, C. B. Hoyng, F. G. Holz, M. M. Islam, C. C. W. Klaver, C. J. F. Boon, S. Schmitz-Valckenberg, A. Tufail, M. Saßmannshausen, C. I. Sánchez, MACUSTAR Consortium, "Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report", Translational Vision Science & Technology, 2024; 13 (9): 11.
DOI | PMID
C. de Vente, B. van Ginneken, C. B. Hoyng, C. C. W. Klaver, C. I. Sánchez, "Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography", Medical Image Analysis, 2024; 10 (1): 103259.
DOI | PMID | ALGORITHM
H. G. Lemij, C. de Vente, C. I. Sánchez, K. A. Vermeer, "Characteristics of a large, labeled data set for the training of artificial intelligence for glaucoma screening with fundus photographs", Ophthalmology Science, 2023; 3 (3): 100300.
DOI | PMID
C. de Vente, K. A. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T.-D. Le, A. Galdran, M. Á. González Ballester, G. Carneiro, RG Devika, PS Hrishikesh, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Ángel Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. C. Lee, H. B. Cho, Y. H. Choi, A. Qayyum, I. Razzak, B. van Ginneken, H. G. Lemij, C. I. Sánchez, "AIROGS: Artificial Intelligence for robust glaucoma screening challenge", IEEE Transactions on Medical Imaging, 2023; 43 (1): 542-557.
DOI | PMID
R. Schwartz, H. Khalid, S. Liakopoulos, Y. Ouyang, C. de Vente, C. González-Gonzalo, A.Y. Lee, R. Guymer, E.Y. Chew and C. Egan, "A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography", Translational Vision Science & Technology, 2022; 11 (12): 3-Mar.
DOI | PMID
C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison", IEEE Transactions on Artificial Intelligence, 2021; 3 (2): 129-138.
DOI | PMID | ALGORITHM
N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. J. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021; 298 (1): E18-E28.
DOI | PMID | ALGORITHM
Z. Xiong, Q. Xia, Z. Hu, N. Huang, C. Bian, Y. Zheng, S. Vesal, N. Ravikumar, A. Maier, X. Yang, P. Heng, D. Ni, C. Li, Q. Tong, W. Si, E. Puybareau, Y. Khoudli, T. Géraud, C. Chen, W. Bai, D. Rueckert, L. Xu, X. Zhuang, X. Luo, S. Jia, M. Sermesant, Y. Liu, K. Wang, D. Borra, A. Masci, C. Corsi, C. de Vente, M. Veta, R. Karim, C. J. Preetha, S. Engelhardt, M. Qiao, Y. Wang, Q. Tao, M. Nuñez-Garcia, O. Camara, N. Savioli, P. Lamata, J. Zhao, "A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging", Medical Image Analysis, 2021; 67.
DOI | PMID

inproceedings

2TOTAL RESOURCES
M. M. Islam, C. de Vente, B. Liefers, C. Klaver, E. J. Bekkers, C. I. Sánchez, "Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions", Medical Imaging with Deep Learning, 2024.
URL
C. de Vente, M. M. Islam, P. Valmaggia, C. Hoyng, A. Tufail, C. I. Sánchez (on behalf of the MACUSTAR consortium), "Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution", NeurIPS 2024 Workshop on GenAI for Health, 2024.
URL

abstracts

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R. Schwartz, A. Olvera-Barrios, A. N. Warwick, H. Khalid, S. Phatak, M. Jhingan, C. de Vente, P. Valmaggia, C. I. Sánchez, C. A. Egan, A. Tufail, "Increasing Stroke Risk Correlated with Higher Reticular Pseudodrusen Counts: Evidence from the UK Biobank", Association for Research in Vision and Ophthalmology, 2024.
URL
C. de Vente, A. Tufail, S. Schmitz-Valckenberg, M. Sassmannshausen, C. C. B. Hoyng, C. I. Sánchez, "OCT Super-Resolution for Data Standardization using AI: A MACUSTAR report", Association for Research in Vision and Ophthalmology, 2023.
URL
Schwartz, Roy and Khalid, Hagar and Liakopoulos, Sandra and Ouyang, Yanling and de Vente, Coen and Gonzalo, Cristina González and Lee, Aaron Y and Egan, Catherine A and Sánchez, Clara and Tufail, Adnan, "A deep learning pipeline for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography", Investigative Ophthalmology & Visual Science, 2022.
Lemij, Hans G and de Vente, Coen and Sánchez, Clara I and Cuadros, Jorge and Jaccard, Nicolas and Vermeer, Koen, "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 for glaucoma screening", Investigative Ophthalmology & Visual Science, 2022.
C. de Vente, C. González-Gonzalo, E. F. Thee, M. van Grinsven, C. C. W. Klaver and C. I. Sánchez, "Making AI Transferable Across OCT Scanners from Different Vendors", Association for Research in Vision and Ophthalmology, 2021.
URL
C. González-Gonzalo, E. F. Thee, B. Liefers, C. de Vente, C. C. W. Klaver and C. I. Sánchez, "Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen", Association for Research in Vision and Ophthalmology, 2021.
URL
C. de Vente, M. van Grinsven, S. De Zanet, A. Mosinska, R. Sznitman, C. Klaver and C. I. Sánchez, "Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography", Association for Research in Vision and Ophthalmology, 2020.
A. Ardu, B. Liefers, C. de Vente, C. González-Gonzalo, C. Klaver and C. I. Sánchez, "Artificial Intelligence for the Classification and Quantification of Reticular Pseudodrusen in Multimodal Retinal Images", European Society of Retina Specialists, 2020.