• Groene Loper, Building 15, Gemini-South 2.106, Secretary Rina van Dijck-Postma

    5612 AZ Eindhoven

    Netherlands

Research Output 1977 2019

2019

Approximation of a pipeline of unsupervised retina image analysis methods with a CNN

Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 15 Mar 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 7 p. 109491N. (Proceedings of SPIE; vol. 10949)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Biomarkers
Image analysis
Pipelines
Neural networks
Chemical activation

A survey of crowdsourcing in medical image analysis

Ørting, S., Doyle, A., Hirth, M., van Hilten, A., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 Feb 2019, In : arXiv. 12 p., 1902.09159

Research output: Contribution to journalArticleAcademic

Open Access
File
Image analysis
Astrophysics
Medical imaging
Metadata
Learning algorithms

Automatic cardiac landmark localization by a recurrent neural network

van Zon, M., Veta, M. & Li, S., 1 Jan 2019, Medical Imaging 2019: Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 13 p. 1094916. (Proceedings of SPIE; vol. 10949)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

landmarks
Recurrent neural networks
Mitral Valve
Magnetic Resonance Spectroscopy
Magnetic resonance

Automatic classification of focal liver lesions based on MRI and risk factors

Jansen, M. J. A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., Viergever, M. A. & Pluim, J. P. W., 2019, In : PLoS ONE. 14, 5, 13 p., e0217053

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
lesions (animal)
Liver
Magnetic resonance imaging
risk factors
liver

Benchmark on automatic 6-month-old infant brain segmentation algorithms: The iSeg-2017 Challenge

Wang, L., Nie, D., Li, G., Puybareau, E., Dolz, J., Zhang, Q., Wang, F., Xia, J., Wu, Z., Chen, J., Thung, K-H., Bui, T. D., Shin, J., Zeng, G., Zheng, G., Fonov, V. S., Doyle, A., Xu, Y., Moeskops, P., Pluim, J. P. W. & 9 othersDesrosiers, C., Ayed, I. B., Sanroma, G., Benkarim, O. M., Casamitjana, A., Vilaplana, V., Lin, W., Li, G. & Shen, D., 27 Feb 2019, In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticleAcademicpeer-review

Benchmarking
Brain
Magnetic resonance
Magnetic Resonance Spectroscopy
Cerebrospinal fluid

Cats or CAT scans: transfer learning from natural or medical image source data sets?

Cheplygina, V., Mar 2019, In : Current Opinion in Biomedical Engineering. 9, p. 21-27

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
learning
tomography
image analysis
train

Characteristics of the retinal microvasculature in association with cardiovascular risk markers in children with overweight, obesity and morbid obesity

Berendschot, T. T. J. M., Rijks, J., Vreugdenhil, A., Dorenbos, E., Karnebeek, K., Joris, P., Mensink, R. & Plat, J., 2019, In : Journal of Vascular Research. 56, S1, p. 13-13

Research output: Contribution to journalMeeting AbstractAcademic

Open Access

Comparing signal-to-noise ratio for prostate imaging at 7T and 3T

Steensma, B. R., Luttje, M., Voogt, I. J., Klomp, D. W. J., Luijten, P. R., van den Berg, C. A. T. & Raaijmakers, A. J. E., May 2019, In : Journal of Magnetic Resonance Imaging. 49, 5, p. 1446-1455

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Signal-To-Noise Ratio
Prostate
Volunteers
Neoplasms
Protons

Convolutional neural network-based regression for quantification of brain characteristics using MRI

Fernandes, J., Alves, V., Khalili, N., Benders, M. J. N. L., Išgum, I., Pluim, J. & Moeskops, P., 30 Mar 2019, New Knowledge in Information Systems and Technologies. Rocha, Á., Costanzo, S., Adeli, H. & Reis, L. P. (eds.). Berlin: Springer, Vol. 2, p. 577-586 10 p. (Advances in Intelligent Systems and Computing; vol. 931)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Magnetic resonance imaging
Brain
Neural networks
Rats
Tissue

Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images

de Vente, C., Veta, M., Razeghi, O., Niederer, S., Pluim, J., Rhode, K. & Karim, R., 14 Feb 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Li, S., McLeod, K., Young, A., Rhode, K., Pop, M., Zhao, J., Mansi, T. & Sermesant, M. (eds.). Cham: Springer, p. 348-356 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Gadolinium
Magnetic resonance
Convolution
Magnetic resonance imaging
Segmentation

Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D., Pietsch, M. & 11 othersChristiaens, D., Teixeira, R., Tournier, J-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. W. M., 2019 4 p.

Research output: Contribution to conferenceAbstractAcademic

Deep learning networks to segment and detect breast terminal duct lobular units, acini, and adipose tissue: a step toward the automated analysis of lobular involution as a marker for breast cancer risk

Onken, A., Wetstein, S., Pyle, M., Pluim, J., Schnitt, S., Baker, G., Collins, L., Tamimi, R., Veta, M. & Heng, Y., 2019, (Accepted/In press) United States and Canadian Academy of Pathology (USCAP).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Adipose Tissue
Breast
Learning
Breast Neoplasms
Physiological Phenomena

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk

Wetstein, S., Onken, A., Baker, G., Pyle, M., Pluim, J., Tamimi, R., Heng, Y. & Veta, M., 18 Mar 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). Bellingham, 7 p. 109560Q. (Proceedings of SPIE; vol. 10956)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Ducts
Labels
Masks
Health
Biomarkers
1 Citation (Scopus)

Early phacoemulsification after acute angle closure in patients with coexisting cataract

Romkens, H. C. S., Beckers, H. J. M., Schouten, J. S. A. G., Nuijts, R. M. M. A., Berendschot, T. T. J. M., Breusegem, C. M. & Webers, C. A. B., Feb 2019, In : Journal of Glaucoma. 28, 2, p. E34-E35

Research output: Contribution to journalLetterAcademicpeer-review

4 Citations (Scopus)

Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach

Li, Y., Cui, W. G., Huang, H., Guo, Y. Z., Li, K. & Tan, T., 15 Jan 2019, In : Knowledge-Based Systems. 164, p. 96-106

Research output: Contribution to journalArticleAcademicpeer-review

Radial basis function networks
Electroencephalography
Statistical tests
Model structures
Particle swarm optimization (PSO)

First generation versus second generation toric calculator for toric IOL implantations

Webers, V. S. C., Bauer, N. J. C., Visser, N., Berendschot, T. T. T. J. M., Saelens, I. E. Y., Beckers, H. J. M. & Nuijts, R. M. M. A., Mar 2019, In : Acta Ophthalmologica. 97, S262, p. 36-37 2 p.

Research output: Contribution to journalMeeting AbstractAcademic

1 Citation (Scopus)

Fourier transform on the homogeneous space of 3D positions and orientations for exact solutions to linear PDEs

Duits, R., Bekkers, E. J. & Mashtakov, A., 8 Jan 2019, In : Entropy. 21, 1, 38 p., 38

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
pulse detonation engines
quotients
rigid structures
robotics
image analysis

Habitual higher order aberrations affect Landolt but not Vernier acuity

Reiniger, J. L., Lobecke, A. C., Sabesan, R., Bach, M., Verbakel, F., de Brabander, J., Holz, F. G., Berendschot, T. T. J. M. & Harmening, W. M., 1 May 2019, In : Journal of Vision. 19, 5, 15 p., 11

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Hierarchical Bayesian myocardial perfusion quantification

Scannell, C. M., Chiribiri, A., Villa, A. D. M., Breeuwer, M. & Lee, J., 6 Jun 2019, In : arXiv. 2019, 37 p., 1906.02540

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Perfusion
Least-Squares Analysis
Noise
Markov Chains
Coronary Artery Disease
5 Citations (Scopus)

Increased high-density Lipoprotein levels associated with age-related macular degeneration: evidence from the EYE-RISK and European Eye Epidemiology Consortia

European Eye Epidemiology Consortium, EYE-RISK Consortium, Klaver, C. C. W. & Berendschot, T., 1 Mar 2019, In : Ophthalmology. 126, 3, p. 393-406 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

In reply: early phacoemulsification after acute angle closure in patients with coexisting cataract

Romkens, H. C. S., Beckers, H. J. M., Schouten, J. S. A. G., Nuijts, R. M. M. A., Berendschot, T. T. J. M., Breusegem, C. M. & Webers, C. A. B., Mar 2019, In : Journal of Glaucoma. 28, 3, p. e51-e51

Research output: Contribution to journalLetterAcademicpeer-review

Learning domain-invariant representations of histological images

Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J. & Veta, M., 16 Jul 2019, In : Frontiers in Medicine. 6, 11 p., 162

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Local sar assessment for multitransmit systems: a study on the peak local SAR value as a function of magnetic field strength

Raaijmakers, A. J. E. & Steensma, B. R., 2019, In : eMagRes. 8, 1, p. 1-10 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Magnetic Fields
Magnetic fields
Transceivers
Signal to noise ratio
Electric fields

Markers of microvascular dysfunction are associated with incident depressive symptoms: the Maastricht study

Geraets, A., van Agtmaal, M., Stehouwer, C. D. A., Sorensen, B., Berendschot, T., Schouten, J., Schaper, N., Henry, R., van der Kallen, C., Koster, A., Eussen, S., Kohler, S., Schram, M. T. & Houben, A. J. H. M., 2019, In : Journal of Vascular Research. 56, Suppl. 1, p. 38-39 2 p., 81

Research output: Contribution to journalMeeting AbstractAcademic

Open Access

Microvascular dysfunction is associated with worse cognitive performance: the Maastricht study

Rensma, S., van Sloten, T. T., Houben, A. J. H. M., van Boxtel, M. P. J., Berendschot, T. T. J. M., Jansen, J. F. A., Kroon, A. A., Koster, A., Backes, W. H., Schaper, N., Dinant, G. J., Schalkwijk, C. G., Henry, R. M. A., Wolfs, E. M. L., van Heumen, M. J. A., Schram, M. T. & Stehouwer, C. D. A., 2019, In : Journal of Vascular Research. 56, S1, p. 94 1 p., 203

Research output: Contribution to journalMeeting AbstractAcademic

Open Access

Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D., Pietsch, M. & 11 othersChristiaens, D., Teixeira, R., Tournier, J-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. W. M., 2019, Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). Cham: Springer, p. 217-224 (Mathematics and Visualization)

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Magnetic resonance imaging
Computational methods
Neural networks
1 Citation (Scopus)

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M. & Pluim, J. P. W., 29 Mar 2019, In : Medical Image Analysis. 54, p. 280-296 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

Medical imaging
Diagnostic Imaging
Image analysis
Learning algorithms
Learning systems

Prediabetes and type 2 diabetes are associated with wider retinal arterioles and venules

Li, W., Schram, M. T., Berendschot, T., Webers, C., Kroon, A. A., van der Kallen, C., Henry, R., Koster, A., Dagnelie, P., Schaper, N., Huang, F., Dashtbozorg, B., Tan, T., Zhang, J., Sureshjani, S. A., Romeny, B. T. H., Stehouwer, C. D. A. & Houben, A. J. H. M., 2019, In : Journal of Vascular Research. 56, Suppl. 1, p. 73 1 p., 157

Research output: Contribution to journalMeeting AbstractAcademic

Open Access
1 Citation (Scopus)

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Veta, M., Heng, Y. J., Stathonikos, N., Bejnordi, B. E., Beca, F., Wollmann, T., Rohr, K., Shah, M. A., Wang, D., Rousson, M., Hedlund, M., Tellez, D., Ciompi, F., Zerhouni, E., Lanyi, D., Viana, M., Kovalev, V., Liauchuk, V., Phoulady, H. A., Qaiser, T. & 13 othersGraham, S., Rajpoot, N., Sjöblom, E., Molin, J., Paeng, K., Hwang, S., Park, S., Jia, Z., Chang, E. I-C., Xu, Y., Beck, A. H., van Diest, P. J. & Pluim, J. P. W., 27 Feb 2019, In : Medical Image Analysis. 54, p. 111-121 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Tumors
Breast Neoplasms
Neoplasms
Mitosis
Image analysis

Preface

Bankhead, P., Janowczyk, A., Reyes-Aldasoro, C. C., Sirinukunwattana, K. & Veta, M., 1 Jan 2019, Digital Pathology. Reyes-Aldasoro, C. C., Veta, M., Janowczyk, A., Bankhead, P. & Sirinukunwattana, K. (eds.). Cham: Springer, p. v-vi 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11435)

Research output: Chapter in Book/Report/Conference proceedingForeword/postscriptAcademic

Open Access

Progressively growing convolutional networks for end-to-end deformable image registration

Eppenhof, K., Lafarge, M. & Pluim, J., 15 Mar 2019, Medical Imaging 2019 Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 7 p. 109491C. (Proceedings of SPIE; vol. 10949)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Image registration
Neural networks

Pulmonary CT registration through supervised learning with convolutional neural networks

Eppenhof, K. A. J. & Pluim, J. P. W., 2 May 2019, In : IEEE Transactions on Medical Imaging. 38, 5, p. 1097-1105 9 p., 8510836

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Supervised learning
Parameterization
Learning
Neural networks
Lung

Quality of vision after ultrathin descemet stripping automated endothelial keratoplasty: a multicentre randomized clinical trial

Dickman, M. M., Dunker, S. L., Kruit, P. J., Remeijer, L., van Rooij, J., van der Lelij, A., Wijdh, R. H. J., van den Biggelaar, F. J. H. M., Berendschot, T. T. J. M., van den Berg, T. J. T. P. & Nuijts, R. M. M. A., Jun 2019, In : Acta Ophthalmologica. 97, 4, p. E671-E672 2 p.

Research output: Contribution to journalLetterAcademicpeer-review

Reducing distortions in echo-planar breast imaging at ultrahigh field with high-resolution off-resonance maps

van Rijssel, M. J., Zijlstra, F., Seevinck, P. R., Luijten, P. R., Gilhuijs, K. G. A., Klomp, D. W. J. & Pluim, J. P. W., Jul 2019, In : Magnetic Resonance in Medicine. 82, 1, p. 425-435 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Echo-Planar Imaging
Breast
Nonparametric Statistics
Artifacts
Healthy Volunteers

Response: early phacoemulsification after acute angle closure in patients with coexisting cataract

Romkens, H. C. S., Beckers, H. J. M., Schouten, J. S. A. G., Nuijts, R. M. M. A., Berendschot, T. T. J. M., Breusegem, C. M. & Webers, C. A. B., Jun 2019, In : Journal of Glaucoma. 28, 6, 1 p., e108

Research output: Contribution to journalLetterAcademicpeer-review

Retinal microvascular biomarker extraction on fundus images from the Maastricht study using supervised deep learning

Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M. & Veta, M., Apr 2019, In : Journal of Vascular Research. 56, suppl. 1, p. 120-120 1 p., 261

Research output: Contribution to journalMeeting AbstractAcademic

Open Access

Robust non-rigid motion compensation of free-breathing myocardial perfusion MRI data

Scannell, C. M., Villa, A. D. M., Lee, J., Breeuwer, M. & Chiribiri, A., 1 Aug 2019, In : IEEE Transactions on Medical Imaging. 38, 8, p. 1812-1820

Research output: Contribution to journalArticleAcademicpeer-review

Motion compensation
Magnetic Resonance Angiography
Magnetic resonance
Compensation and Redress
Respiration
1 Citation (Scopus)

The dual-mode dipole: A new array element for 7T body imaging with reduced SAR

Solomakha, G., Leeuwen, C. V., Raaijmakers, A., Simovski, C., Popugaev, A., Abdeddaim, R., Melchakova, I. & Glybovski, S., 1 Feb 2019, In : Magnetic Resonance in Medicine. 81, 2, p. 1459-1469

Research output: Contribution to journalArticleAcademicpeer-review

Prostate
Volunteers
1 Citation (Scopus)

The European Eye Epidemiology spectral-domain optical coherence tomography classification of macular diseases for epidemiological studies

European Eye Epidemiology Consortium, Gattoussi, S. & Berendschot, T., 1 Jun 2019, In : Acta Ophthalmologica. 97, 4, p. 364-371 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

2018
Open Access
Biomarkers
Blood Vessels
Retina
Retinal Vessels
Pipelines
7 Citations (Scopus)

An 8-channel Tx/Rx dipole array combined with 16 Rx loops for high-resolution functional cardiac imaging at 7 T

Steensma, B. R., Voogt, I. J., Leiner, T., Luijten, P. R., Habets, J., Klomp, D. W. J., van den Berg, C. A. T. & Raaijmakers, A. J. E., 1 Feb 2018, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 31, 1, p. 7-18 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Signal-To-Noise Ratio
Electromagnetic Phenomena
Healthy Volunteers
1 Citation (Scopus)

Analysis of retinal vascular biomarkers for early detection of diabetes

Zhang, J., Dashtbozorg, B., Huang, F., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, ViPIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 811-817 7 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Biomarkers
Medical problems
Fractal dimension
Statistical methods
Computer aided diagnosis

Analysis of vascular biomarkers on retinal images for early eye disease detection

Huang, F., 12 Sep 2018, Eindhoven: Technische Universiteit Eindhoven. 219 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File
1 Citation (Scopus)

An improved U-net architecture for simultaneous arteriole and venule segmentation in fundus image

Xu, X., Tan, T. & Xu, F., 21 Aug 2018, Medical Image Understanding and Analysis - 22nd Conference, Proceedings. Nixon, M., Mahmoodi, S. & Zwiggelaar, R. (eds.). Cham: Springer, p. 333-340 8 p. (Communications in Computer and Information Science; vol. 894)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Segmentation
Vessel
Misclassification Rate
Error Propagation
Labels
7 Citations (Scopus)

Artery/vein classification using reflection features in retina fundus images

Huang, F., Dasht Bozorg, B. & ter Haar Romeny, B. M., 1 Jan 2018, In : Machine Vision and Applications. 29, 1, p. 23-34 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Biomarkers
Image analysis
Classifiers
Pixels
Association reactions
1 Citation (Scopus)

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: a feasibility study

Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 245-248 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Automatic emphysema detection using weakly labeled HRCT lung images

Pena, I. P., Cheplygina, V., Paschaloudi, S., Vuust, M., Carl, J., Weinreich, U. M., Ostergaard, L. R. & de Bruijne, M., 15 Oct 2018, In : PLoS ONE. 13, 10, 17 p., e0205397

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Burden of disease of people with epilepsy during an optimized diagnostic trajectory: costs and quality of life

Wijnen, B. F. M., Schat, S. L., de Kinderen, R. J. A., Colon, A. J., Ossenblok, P. P. W. & Evers, S. M. A. A., 1 Oct 2018, In : Epilepsy Research. 146, p. 87-93 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Epilepsy
Quality of Life
Costs and Cost Analysis
Delivery of Health Care
Health Care Costs

Cataract surgery in eyes with a pre-existent posterior capsule rupture after intravitreal anti-VEGF injections

Spekreijse, L. S., Berendschot, T. T. J. M., Beckers, H. J. M., Visser, N., Saelens, I. E. Y., de Crom, R. M. P. C., Webers, C. A. B. & Nuijts, R. M. M. A., Mar 2018, In : Acta Ophthalmologica. 96, p. 32-32

Research output: Contribution to journalMeeting AbstractAcademic

Open Access
File