Mehmet Fidan

According to our database, Mehmet Fidan authored at least 6 papers between 2006 and 2025.

Collaborative distances:

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

2025

Indifference subspace of deep features for lung nodule classification from CT images.

Mohamad M. A. Ashames, Ahmet Demir, Mehmet Koç, Mehmet Fidan, Semih Ergin, Mehmet Bilginer Gülmezoglu, Atalay Barkana, Ömer Nezih Gerek

Expert Syst. Appl., 2025

2023

Neural network representations for the inter- and intra-class common vector classifiers.

Rifat Edizkan, Atalay Barkana, Mehmet Koç, Mehmet Bilginer Gülmezoglu, Mohamad M. A. Ashames, Semih Ergin, Mehmet Fidan, Ahmet Demir, Cuneyt Calisir, Ömer Nezih Gerek

Digit. Signal Process., October, 2023

Low-Dose CT Image Enhancement Using Deep Learning.

Ahmet Demir, M. M. A. Shames, Ömer Nezih Gerek, Semih Ergin, Mehmet Fidan, Mehmet Koç, Mehmet Bilginer Gülmezoglu, Atalay Barkana, Cuneyt Calisir

CoRR, 2023

Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?

Mohamad M. A. Ashames, Ahmet Demir, Ömer Nezih Gerek, Mehmet Fidan, Mehmet Bilginer Gülmezoglu, Semih Ergin, Mehmet Koç, Atalay Barkana, Cuneyt Calisir

CoRR, 2023

2022

Parametric and nonparametric correlation ranking based supervised feature selection methods for skin segmentation.

Utku Kaya, Mehmet Fidan

J. Ambient Intell. Humaniz. Comput., 2022

2006

A time improvement over the Mycielski algorithm for predictive signal coding: Mycielski-78.

Ömer Nezih Gerek, Mehmet Fidan

Proceedings of the 14th European Signal Processing Conference, 2006