PROJECT LEADER
AMI
Automated analysis of multimodal retinal imaging in advanced AMD to provide clinicians with treatment decision support.
FINISHED
2016
|
2020
RESEARCH AREAS
About project
In this project, an ophthalmology application was developed for the automated analysis of multimodal retinal imaging examinations in order to assess treatment response in patients with advanced wet AMD and provide treatment decision support to clinicians: CIRRUS Ophthalmology. Deep learning algorithms were developed that can accurately analyze and quantify changes in follow-up optical coherence tomography scans and multimodal retinal images.
Automatic segmentation of geographic atrophy in color fundus images.
Members
Our publications & software
Publications
Journal articlesB. Liefers, P. Taylor, A. Alsaedi, C. Bailey, K. Balaskas, N. Dhingra, C. A. Egan, F. G. Rodrigues, C. González-Gonzalo, T. F. C. Heeren, A. Lotery, P. L. Muller, A. Olvera-Barrios, B. Paul, R. Schwartz, D. S. Thomas, A. N. Warwick, A. Tufail and C. I. Sánchez, "Quantification of key retinal features in early and late age-related macular degeneration using deep learning", American Journal of Ophthalmology, 2021.
PreprintP. L. Muller, B. Liefers, T. Treis, F. Gomes Rodrigues, A. Olvera-Barrios, B. Paul, N. Dhingra, A. Lotery, C. Bailey, P. Taylor, C. I. Sánchez and A. Tufail, "Reliability of retinal pathology quantification in age-related macular degeneration: Implications for clinical trials and machine learning applications", 2020.
B. Liefers, J. M. Colijn, C. González-Gonzalo, T. Verzijden, J. J. Wang, N. Joachim, P. Mitchell, C. B. Hoyng, B. van Ginneken, C. C. Klaver and C. I. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology, 2020; 127 (8): 1086-1096.
AbstractsB. Liefers, P. Taylor, C. González-Gonzalo, A. Tufail and C. I. Sánchez, "Achieving expert level performance in quantifying 13 distinctive features of neovascular age-related macular degeneration on optical coherence tomography", European Society of Retina Specialists, 2020.
D. Valkenburg, E. Runhart, B. Liefers, S. Lambertus, C. I. Sánchez, F. P. Cremers, B. Nathalie M and C. C. B. Hoyng, "Familial discordance in disease phenotype in siblings with Stargardt disease", Association for Research in Vision and Ophthalmology, 2019.
D. Valkenburg, E. H. Runhart, N. M. Bax, B. Liefers, S. L. Lambertus, C. I. Sánchez, F. P. Cremers and C. B. Hoyng, "Highly variable disease courses in siblings with Stargardt disease", Ophthalmology, 2019; 126: 1712-1721.
InproceedingsB. Liefers, C. González-Gonzalo, C. Klaver, B. van Ginneken and C. I. Sánchez, "Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography", Medical Imaging with Deep Learning, 2019; 102: 337-346.
B. Liefers, J. Colijn, C. González-Gonzalo, A. Vaidyanathan, H. van Zeeland, P. Mitchell, C. Klaver and C. I. Sánchez, "Prediction of areas at risk of developing geographic atrophy in color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2019.
B. Liefers, J. M. Colijn, C. González-Gonzalo, T. Verzijden, P. Mitchell, C. B. Hoyng, B. van Ginneken, C. C. Klaver and C. I. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", arXiv:190.805.621, 2019.
T. J. Heesterbeek, E. K. de Jong, I. E. Acar, J. M. M. Groenewoud, B. Liefers, C. I. Sánchez, T. Peto, C. B. Hoyng, D. Pauleikhoff, H. W. Hense and A. I. den Hollander, "Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration", Nature Scientific Reports, 2019; 9: 6611.
B. Liefers, F. G. Venhuizen, T. Theelen, C. Hoyng, B. van Ginneken and C. I. Sánchez, "Fovea Detection in Optical Coherence Tomography using Convolutional Neural Networks", Medical Imaging, 2017; 10133: 1013302.
B. Liefers, F. G. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, T. Theelen and C. I. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
B. Liefers, F. G. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, S. Fauser, T. Theelen and C. I. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Biomedical Optics Express, 2017; 8 (11): 5160-5178.
B. Liefers, V. Schreur, T. Theelen and C. I. Sánchez, "Registration and grading of micro-aneurysms in Fluorescein Angiography and OCT Angiography", 4th International Congress on OCT Angiography and Advances in OCT, 2016.
Software