Murat Seçkin Ayhan

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Philipp BerensHertie Institute for AI in Brain Health, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Focke ZiemssenUniversity LeipzigEmail yang diverifikasi di medizin.uni-leipzig.de
Christian LeibigAI/ML science & engineeringEmail yang diverifikasi di minimal-entropy.com
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceEmail yang diverifikasi di cs.ucl.ac.uk
Siegfried WagnerUniversity College LondonEmail yang diverifikasi di ucl.ac.uk
Andre AltmannUCLEmail yang diverifikasi di ucl.ac.uk
Yukun ZhouResearch Fellow, UCL Institute of Ophthalmology, CMIC, Moorfields Eye HospitalEmail yang diverifikasi di ucl.ac.uk
Pearse KeaneUKRI Future Leaders Fellow / University College London / Moorfields Eye HospitalEmail yang diverifikasi di ucl.ac.uk
Mateo Gende LozanoResearcher, Universidade da Coruña, Instituto de Investigación Biomédica INIBICEmail yang diverifikasi di udc.es
Mark ChiaUniversity College London | Royal Victorian Eye & Ear HospitalEmail yang diverifikasi di ucl.ac.uk
Anthony S. MaidaSchool of Computing and Informatics, UL LafayetteEmail yang diverifikasi di louisiana.edu
Louis B. KümmerlePhD student, Helmholtz Center MunichEmail yang diverifikasi di helmholtz-muenchen.de
Indu IlanchezianDoctoral Student, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Lisa Margret KochUniversity of Bern and University of TübingenEmail yang diverifikasi di unibe.ch
Matthias HeinProfessor of Computer Science, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Valentyn BoreikoUniversity of TübingenEmail yang diverifikasi di uni-tuebingen.de
Dmitry KobakUniversity of TübingenEmail yang diverifikasi di uni-tuebingen.de
Sarah MüllerUniversity of TübingenEmail yang diverifikasi di uni-tuebingen.de
Ziwei HuangHertie Institute for AI in Brain Health, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Cheehung henry ChuUniversity of Louisiana at LafayetteEmail yang diverifikasi di louisiana.edu

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Murat Seçkin Ayhan

Nama lainnyaMurat S. Ayhan, Murat Seckin Ayhan

University College London and Moorfields Eye Hospital

Email yang diverifikasi di ucl.ac.uk - Beranda

Computer Science Machine Learning Medical Image Analysis


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Leveraging uncertainty information from deep neural networks for disease detection C Leibig, V Allken, MS Ayhan, P Berens, S Wahl Scientific Reports, 2017	578	2017
A foundation model for generalizable disease detection from retinal images Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ... Nature, 2023	365	2023
Natural Image Bases to Represent Neuroimaging Data A Gupta, MS Ayhan, AS Maida ICML 2013, 2013	314	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	247	2018
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	84	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	44	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	21	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	14	2022
Proprietary data formats block health research P Berens, MS Ayhan Nature, 2019	9	2019
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	8	2023
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	7	2013
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	6*	2020
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	5	2013
Towards Indefinite Gaussian Processes MS Ayhan, CHH Chu NIPS 2012 Modern Nonparametric Methods in Machine Learning Workshop, 2012	5	2012
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	4	2024
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	4	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	4	2010
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	3	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	3	2013
Multiple kernel learning and automatic subspace relevance determination for high-dimensional neuroimaging data MS Ayhan, V Raghavan arXiv preprint arXiv:1706.00856, 2017	1	2017

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