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Murat Seçkin Ayhan
Murat Seçkin Ayhan
University College London and Moorfields Eye Hospital
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Leveraging uncertainty information from deep neural networks for disease detection
C Leibig, V Allken, MS Ayhan, P Berens, S Wahl
Scientific Reports 7, 2017
3402017
Natural Image Bases to Represent Neuroimaging Data
A Gupta, MS Ayhan, AS Maida
The 30th International Conference on Machine Learning (ICML 2013), 2013
2322013
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks
MS Ayhan, P Berens
International conference on Medical Imaging with Deep Learning (MIDL) 2018, 2018
892018
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 64, 101724, 2020
292020
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
62013
Proprietary data formats block health research
P Berens, MS Ayhan
Nature 565 (7740), 429-429, 2019
52019
Composite kernels for automatic relevance determination in computerized diagnosis of Alzheimer’s disease
MS Ayhan, RG Benton, VV Raghavan, S Choubey
International Conference on Brain and Health Informatics, 126-137, 2013
52013
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
42012
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
42010
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 77, 102364, 2022
32022
Interpretable gender classification from retinal fundus images using BagNets
I Ilanchezian, D Kobak, H Faber, F Ziemssen, P Berens, MS Ayhan
International Conference on Medical Image Computing and Computer-Assisted …, 2021
32021
Towards Indefinite Gaussian Processes
MS Ayhan, CHH Chu
NIPS 2012 Modern Nonparametric Methods in Machine Learning Workshop, 2012
32012
Potential of methods of artificial intelligence for quality assurance
P Berens, SM Waldstein, MS Ayhan, L Kuemmerle, H Agostini, A Stahl, ...
Der Ophthalmologe: Zeitschrift der Deutschen Ophthalmologischen Gesellschaft …, 2020
2*2020
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
22013
Multiple kernel learning and automatic subspace relevance determination for high-dimensional neuroimaging data
MS Ayhan, V Raghavan
arXiv preprint arXiv:1706.00856, 2017
12017
Multi-task learning for activity detection in neovascular age-related macular degeneration
MS Ayhan, H Faber, L Kuehlewein, W Inhoffen, G Aliyeva, F Ziemssen, ...
medRxiv, 2022
2022
Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data
MS Ayhan, V Raghavan
International Conference on Brain Informatics, 226-238, 2018
2018
A Probabilistic Biomarker for Alzheimer's Disease
MS Ayhan
University of Louisiana at Lafayette, 2015
2015
Determining Relevant Features based on 3D-SSP to Detect Dementia Caused by Alzheimer's Disease
MS Ayhan, RG Benton, VV Raghavan, S Choubey
Biotechnology and Bioinformatics Symposium (BIOT-2010), 2010
2010
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