Özal Yildirim

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 25

Top Topics

Convolutional Neural Network

Top Venues

Comput. Biol. Medicine

Cogn. Syst. Res.

Comput. Methods Programs Biomed.

Neural Comput. Appl.

Publications

Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. 640 (2023)
Faruk Oztekin, Oguzhan Katar, Ferhat Sadak, Murat Aydogan, Tuba Talo Yildirim, Pawel Plawiak, Özal Yildirim, Muhammed Talo, Murat Karabatak
Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model. Int. J. Imaging Syst. Technol. 32 (6) (2022)
Omer Sadak, Ferhat Sadak, Özal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Ooi Chui Ping, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam
Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. IEEE Access 10 (2022)
Musab Coskun, Özal Yildirim, Yakup Demir, U. Rajendra Acharya
Efficient deep neural network model for classification of grasp types using sEMG signals. J. Ambient Intell. Humaniz. Comput. 13 (9) (2022)
Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru San Tan
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR (2022)
Fatma Murat, Özal Yildirim, Muhammed Talo, Yakup Demir, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
Exploring deep features and ECG attributes to detect cardiac rhythm classes. Knowl. Based Syst. 232 (2021)
Özal Yildirim, Ulas Baran Baloglu, Muhammed Talo, Prasanth Ganesan, Jagteshwar S. Tung, Guson Kang, James Tooley, Mahmood I. Alhusseini, Tina Baykaner, Paul J. Wang, Marco V. Perez, Larisa Tereshchenko, Sanjiv M. Narayan, Albert J. Rogers
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. CinC (2021)
Kadir Yildirim, Pinar Gundogan Bozdag, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya
Deep learning model for automated kidney stone detection using coronal CT images. Comput. Biol. Medicine 135 (2021)
Fatma Murat, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Yakup Demir, U. Rajendra Acharya
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review. Comput. Biol. Medicine 120 (2020)
Özal Yildirim, Ulas Baran Baloglu, U. Rajendra Acharya
A deep convolutional neural network model for automated identification of abnormal EEG signals. Neural Comput. Appl. 32 (20) (2020)
Özal Yildirim, Muhammed Talo, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya
Accurate deep neural network model to detect cardiac arrhythmia on more than 10, 000 individual subject ECG records. Comput. Methods Programs Biomed. 197 (2020)
Yusuf Çelik, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images. Pattern Recognit. Lett. 133 (2020)
Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya
Automated detection of COVID-19 cases using deep neural networks with X-ray images. Comput. Biol. Medicine 121 (2020)
Recen Özaln, Çagri Kaymak, Özal Yildirim, Aysegül Uçar, Yakup Demir, Cüneyt Güzelis
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. INISTA (2019)
Ulas Baran Baloglu, Muhammed Talo, Özal Yildirim, Ru San Tan, U. Rajendra Acharya
Classification of myocardial infarction with multi-lead ECG signals and deep CNN. Pattern Recognit. Lett. 122 (2019)
Özal Yildirim, Muhammed Talo, Betül Ay Karakus, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Comput. Biol. Medicine 113 (2019)
Muhammed Talo, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya
Application of deep transfer learning for automated brain abnormality classification using MR images. Cogn. Syst. Res. 54 (2019)
Nihat Daldal, Özal Yildirim, Kemal Polat
Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions. Neural Comput. Appl. 31 (6) (2019)
Muhammed Talo, Özal Yildirim, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya
Convolutional neural networks for multi-class brain disease detection using MRI images. Comput. Medical Imaging Graph. 78 (2019)
Özal Yildirim, Ulas Baran Baloglu, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
A new approach for arrhythmia classification using deep coded features and LSTM networks. Comput. Methods Programs Biomed. 176 (2019)
Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. J. Medical Syst. 43 (7) (2019)
Özal Yildirim, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya
Arrhythmia detection using deep convolutional neural network with long duration ECG signals. Comput. Biol. Medicine 102 (2018)
Krzysztof Rzecki, Tomasz Sosnicki, Mateusz Baran, Michal Niedzwiecki, Malgorzata Król, Tomasz Lojewski, U. Rajendra Acharya, Özal Yildirim, Pawel Plawiak
Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. Sensors 18 (11) (2018)
Özal Yildirim
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Medicine 96 (2018)
Özal Yildirim, Ru San Tan, U. Rajendra Acharya
An efficient compression of ECG signals using deep convolutional autoencoders. Cogn. Syst. Res. 52 (2018)
Özal Yildirim, Belkis Eristi, Hüseyin Eristi, Sencer Unal, Yavuz Erol, Yakup Demir
An FPGA based power quality monitoring system. SIU (2015)
Hüseyin Eristi, Özal Yildirim, Belkis Eristi, Yakup Demir
Classification of power quality event using wavelet transform and associaton rules. SIU (2012)