1 citations · 1 across the 5 of their papers we have counts for
5 papers
Super-Resolution Generative Adversarial Networks based Video Enhancement
Kağan Çetin, Hacer Akça, Ömer Nezih Gerek
This study introduces an enhanced approach to video super-resolution by extending ordinary Single-Image Super-Resolution (SISR) Super-Resolution Generative Adversarial Network (SRG…
Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings
Ghazal Al-Shwayyat, Omer Nezih Gerek
Arabic dialect recognition presents a significant challenge in speech technology due to the linguistic diversity of Arabic and the scarcity of large annotated datasets, particularl…
CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
Berat Kutay Uğraş, Ömer Nezih Gerek, İbrahim Talha Saygı
Accurate ECG interpretation is vital, yet complex cardiac data and "black-box" AI models limit clinical utility. Inspired by Transformer architectures' success in NLP for understan…
Low-Dose CT Image Enhancement Using Deep Learning
A. Demir, M. M. A. Shames, O. N. Gerek +6
The application of ionizing radiation for diagnostic imaging is common around the globe. However, the process of imaging, itself, remains to be a relatively hazardous operation. Th…
Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?
Mohamad M. A. Ashames, Ahmet Demir, Omer N. Gerek +6
Following the great success of various deep learning methods in image and object classification, the biomedical image processing society is also overwhelmed with their applications…