Murat Seçkin Ayhan
Murat Seçkin Ayhan
Other namesMurat S. Ayhan, Murat Seckin Ayhan
University College London and Moorfields Eye Hospital
Verified email at - Homepage
Cited by
Cited by
Leveraging uncertainty information from deep neural networks for disease detection
C Leibig, V Allken, MS Ayhan, P Berens, S Wahl
Scientific Reports, 2017
Natural Image Bases to Represent Neuroimaging Data
A Gupta, MS Ayhan, AS Maida
ICML 2013, 2013
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks
MS Ayhan, P Berens
Medical Imaging with Deep Learning (MIDL) 2018, 2018
A foundation model for generalizable disease detection from retinal images
Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ...
Nature, 2023
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection
MS Ayhan, L Kühlewein, G Aliyeva, W Inhoffen, F Ziemssen, P Berens
Medical Image Analysis, 2020
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology
MS Ayhan, LB Kümmerle, L Kühlewein, W Inhoffen, G Aliyeva, ...
Medical Image Analysis, 2022
Interpretable gender classification from retinal fundus images using BagNets
I Ilanchezian, D Kobak, H Faber, F Ziemssen, P Berens, MS Ayhan
MICCAI 2021, 2021
Visual explanations for the detection of diabetic retinopathy from retinal fundus images
V Boreiko, I Ilanchezian, MS Ayhan, S Müller, LM Koch, H Faber, ...
MICCAI 2022, 2022
Proprietary data formats block health research
P Berens, MS Ayhan
Nature, 2019
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer’s disease
MS Ayhan, RG Benton, VV Raghavan, S Choubey
International Journal of Data Mining and Bioinformatics 7 (2), 146-165, 2013
Composite kernels for automatic relevance determination in computerized diagnosis of Alzheimer’s disease
MS Ayhan, RG Benton, VV Raghavan, S Choubey
Brain and Health Informatics: International Conference, BHI 2013, Maebashi …, 2013
Towards Indefinite Gaussian Processes
MS Ayhan, CHH Chu
NIPS 2012 Modern Nonparametric Methods in Machine Learning Workshop, 2012
Potential of methods of artificial intelligence for quality assurance
P Berens, SM Waldstein, MS Ayhan, L Kuemmerle, H Agostini, A Stahl, ...
Der Ophthalmologe 117, 320-325, 2020
Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease
MS Ayhan, RG Benton, VV Raghavan, S Choubey
2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012
Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels
MS Ayhan, RG Benton, VV Raghavan, S Choubey
2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2010
Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration
MS Ayhan, H Faber, L Kühlewein, W Inhoffen, G Aliyeva, F Ziemssen, ...
Translational Vision Science & Technology (TVST), 2023
Evaluation of Autoencoders for Bases to Represent Neuroimaging Data
A Gupta, MS Ayhan, AS Maida
NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging, 2013
Multiple kernel learning and automatic subspace relevance determination for high-dimensional neuroimaging data
MS Ayhan, V Raghavan
arXiv preprint arXiv:1706.00856, 2017
Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks
MS Ayhan, J Neubauer, MM Uzel, F Gelisken, P Berens
Scientific Reports, 2024
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models
I Ilanchezian, V Boreiko, L Kühlewein, Z Huang, MS Ayhan, M Hein, ...
arXiv preprint arXiv:2311.11629, 2023
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