qurAI

Our PUBLICATIONS

journal articles

5TOTAL RESOURCES
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.
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.
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.
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.
de Vente, Coen and Vos, Pieter and Hosseinzadeh, Matin and Pluim, Josien and Veta, Mitko, "Deep learning regression for prostate cancer detection and grading in bi-parametric MRI", IEEE Transactions on Biomedical Engineering, 2020; 68 (2): 374-383.

inproceedings

2TOTAL RESOURCES
de Vente, Coen and Vos, Pieter and Pluim, Josien and Veta, Mitko, "Simultaneous detection and grading of prostate cancer in multi-parametric MRI", International Conference on Medical Imaging with Deep Learning--Extended Abstract Track, 2019.
de Vente, Coen and Veta, Mitko and Razeghi, Orod and Niederer, Steven and Pluim, Josien and Rhode, Kawal and Karim, Rashed, "Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images", International Workshop on Statistical Atlases and Computational Models of the Heart, 2018: 348-356.

abstracts

6TOTAL RESOURCES
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.
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.
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.

preprint

1TOTAL RESOURCES
C. de Vente, L. H. Boulogne, K. V. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. I. Sánchez and B. van Ginneken, "Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study", arXiv:200.909.725, 2020.