FAIR Data and Reusable Methods
We embrace the Open Science movement and therefore aim to make as much of our data and method freely available.
However, as most of our data contain potentially identifying information, they cannot be made publicly available.
These data can, however, be shared with scientists after signing of a data transfer agreement to ensure the subject’s privacy.
Please contact our data access committee for more information.
Reuse our methods
- Kneepkens, Vught, Polling, Klaver, Tideman and Beenakker
American Journal of Ophthalmology (2025), doi: 10.1016/j.ajo.2025.06.013Open Methods:The methods to perform peripheral ray-tracing simulations have been made available through the ZOSpy repository. - Haasjes, Vu and Beenakker
Medical Physics (2025), doi: 10.1002/mp.17576Open Methods:The full methodology to map fundus images to ocular MR-images has been made available through the ZOSpy repository. - Pors, Haasjes, Vught, Hoes, Luyten, Rijn, Vu, Rasch, Horeweg and Beenakker
Investigative Opthalmology & Visual Science (2024), doi: 10.1167/iovs.65.1.43Open Methods:The PAROS methodology for calibrating fundus photographs is made available on GitHub. - Vught, Haasjes and Beenakker
Journal of Open Source Software (2024), doi: 10.21105/joss.05756Open Methods:We published ZOSPy open-source on GitHub, so you cannot only use it, but also contribute to it. - Klaassen, Jaarsma-Coes, Verbist, Vu, Marinkovic, Rasch, Luyten and Beenakker
Physics and Imaging in Radiation Oncology (2022), doi: 10.1016/j.phro.2022.11.001Open Methods:The Python code to calculate the tumour prominence and basal diameter can be found in Appendix C. - Rozendal, Vught, Luyten and Beenakker
Optometry and Vision Science (2022), doi: 10.1097/opx.0000000000001918Open Methods:The Python code to digitize the visual field data is shared through GitHub. - Keene, Beenakker, Hooijmans, Naarding, Niks, Otto, Pol, Tannemaat, Kan and Froeling
Magnetic Resonance in Medicine (2020), doi: 10.1002/mrm.28290Open Methods:The multi-component EPG fitting algorithm is provided for Mathematica, Matlab and Python. - Ferreira, Fonk, Jaarsma-Coes, Haren, Marinkovic and Beenakker
Cancers (2019), doi: 10.3390/cancers11030377Open Methods:An extensive description of the MRI protocol for intra-ocular pathology can be found here.
Reuse our data
- Mulder, Vu, Ferreira, Klaassen and Beenakker
Neuroradiology (2026), doi: 10.1007/s00234-026-04069-7Open Data:The perfusion metrics, T1 values and FAG classification of individual patients are made available as supplementary materials. - Janssen, Ferreira, Vu, Beenakker and Klaassen
Ocular Oncology and Pathology (2026), doi: 10.1159/000552801Open Data:The perfusion and diffusion metrics as well as MRI-based prominence measurements of both centers of all patients are made available as supplementary materials. - Keene, Nie, Brink, Notting, Verschuuren, Kan, Beenakker and Tannemaat
Journal of Neurology, Neurosurgery & Psychiatry (2023), doi: 10.1136/jnnp-2022-329859Open Data:The orthoptic measurements of all patients are made available for reuse. - Keene, Notting, Verschuuren, Voermans, Keizer, Beenakker, Tannemaat and Kan
Journal of Neuromuscular Diseases (2023), doi: 10.3233/jnd-230023Open Data:The quantitative MRI data of the extra-ocular muscles are provided as supplementary materials. - Tang, Ferreira, Marinkovic, Jaarsma-Coes, Klaassen, Vu, Creutzberg, Rodrigues, Horeweg, Klaver, Rasch, Luyten and Beenakker
Neuroradiology (2023), doi: 10.1007/s00234-023-03166-1Open Data:Both the MRI and ultrasound measurements of all individual patients are made available. - Klaassen, Jaarsma-Coes, Verbist, Vu, Marinkovic, Rasch, Luyten and Beenakker
Physics and Imaging in Radiation Oncology (2022), doi: 10.1016/j.phro.2022.11.001Open Data:The MRI and ultrasound measurements of all individual patients are available in Appendix D.Open Methods:The Python code to calculate the tumour prominence and basal diameter can be found in Appendix C. - Vught, Que, Luyten and Beenakker
Journal of Cataract & Refractive Surgery (2022), doi: 10.1097/j.jcrs.0000000000001054Open Data:The resulting ND and control eye model, both with a biconvex IOL, are made available through ZOSPy. - Jaarsma-Coes, Ferreira, Houdt, Heide, Luyten and Beenakker
Magnetic Resonance Materials in Physics, Biology and Medicine (2022), doi: 10.1007/s10334-021-00961-wOpen Data:The perfusion metrics and T1 values of individual patients are made available as supplementary materials. - Islamaj, Vught, Jordaan-Kuip, Vermeer, Ferreira, Waard, Lemij and Beenakker
PLoS ONE (2022), doi: 10.1371/journal.pone.0276527Open Data:The MRI metrics (eg. bleb volume) and ophthalmic data (eg. ocular motility restrictions) of all patient can be found in the supplementary materials.
