Murat Seçkin Ayhan

According to our database, Murat Seçkin Ayhan authored at least 11 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models.

Indu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, Ziwei Huang, Murat Seçkin Ayhan, Matthias Hein, Lisa M. Koch, Philipp Berens

CoRR, 2023

2022

Clinical validation of saliency maps for understanding deep neural networks in ophthalmology.

Murat Seçkin Ayhan, Louis Benedikt Kümmerle, Laura Kühlewein, Werner Inhoffen, Gulnar Aliyeva, Focke Ziemssen, Philipp Berens

Medical Image Anal., 2022

Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images.

Valentyn Boreiko, Indu Ilanchezian, Murat Seçkin Ayhan, Sarah Müller, Lisa M. Koch, Hanna Faber, Philipp Berens, Matthias Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Interpretable Gender Classification from Retinal Fundus Images Using BagNets.

Indu Ilanchezian, Dmitry Kobak, Hanna Faber, Focke Ziemssen, Philipp Berens, Murat Seçkin Ayhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection.

Murat Seçkin Ayhan, Laura Kühlewein, Gulnar Aliyeva, Werner Inhoffen, Focke Ziemssen, Philipp Berens

Medical Image Anal., 2020

2018

Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data.

Murat Seçkin Ayhan, Vijay Raghavan

Proceedings of the Brain Informatics - International Conference, 2018

2017

Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data.

Murat Seckin Ayhan, Vijay V. Raghavan

CoRR, 2017

2013

Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Int. J. Data Min. Bioinform., 2013

Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the Brain and Health Informatics - International Conference, 2013

2012

Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2010

Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010