Özal Yildirim

32 papers C 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Arrhythmia detection in multi-channel ECG images: vision transformer and explainable approaches. Knowl. Based Syst. Fatma Murat Duranay, Ender Murat, Oguzhan Katar, Yakup Demir, Ru-San Tan, Özal Yildirim, U. Rajendra Acharya
2025	J	`jnl`	Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System. IEEE Access Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalçin, Serpil Aslan, Niranjana Sampathila, Özal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya
2025	J	`jnl`	Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion. CoRR Mert Sehri, Merve Ertagrin, Özal Yildirim, Ahmet Orhan, Patrick Dumond
2025	J	`jnl`	The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach. IEEE Access Seyda Özdemir, Yakup Demir, Özal Yildirim
2024	J	`jnl`	Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. IEEE Access Dilek Ozkan, Oguzhan Katar, Murat Ak, Mugahed A. Al-antari, Nehir Yasan-Ak, Özal Yildirim, Hasan Saeed Mir, Ru-San Tan, U. Rajendra Acharya
2023	J	`jnl`	Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak
2022	J	`jnl`	Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model. Int. J. Imaging Syst. Technol. Faruk Oztekin, Oguzhan Katar, Ferhat Sadak, Murat Aydogan, Tuba Talo Yildirim, Pawel Plawiak, Özal Yildirim, Muhammed Talo, Murat Karabatak
2022	J	`jnl`	Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru-San Tan
2022	J	`jnl`	Efficient deep neural network model for classification of grasp types using sEMG signals. J. Ambient Intell. Humaniz. Comput. Musab Coskun, Özal Yildirim, Yakup Demir, U. Rajendra Acharya
2022	J	`jnl`	Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. IEEE Access Omer Sadak, Ferhat Sadak, Özal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Ooi Chui Ping, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam
2021	—	`conf`	Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. CinC Özal Yildirim, Ulas Baran Baloglu, Muhammed Talo, Prasanth Ganesan, Jagteshwar S. Tung, Guson Kang, James E. Tooley, Mahmood I. Alhusseini, Tina Baykaner, Paul J. Wang, Marco V. Perez, Larisa Tereshchenko, Sanjiv M. Narayan, Albert J. Rogers
2021	J	`jnl`	Deep learning model for automated kidney stone detection using coronal CT images. Comput. Biol. Medicine Kadir Yildirim, Pinar Gundogan Bozdag, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya
2021	J	`jnl`	Exploring deep features and ECG attributes to detect cardiac rhythm classes. Knowl. Based Syst. Fatma Murat, Özal Yildirim, Muhammed Talo, Yakup Demir, Ru-San Tan, Edward J. Ciaccio, U. Rajendra Acharya
2020	J	`jnl`	A deep convolutional neural network model for automated identification of abnormal EEG signals. Neural Comput. Appl. Özal Yildirim, Ulas Baran Baloglu, U. Rajendra Acharya
2020	J	`jnl`	Accurate deep neural network model to detect cardiac arrhythmia on more than 10, 000 individual subject ECG records. Comput. Methods Programs Biomed. Özal Yildirim, Muhammed Talo, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya
2020	J	`jnl`	Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review. Comput. Biol. Medicine Fatma Murat, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Yakup Demir, U. Rajendra Acharya
2020	J	`jnl`	Automated detection of COVID-19 cases using deep neural networks with X-ray images. Comput. Biol. Medicine Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya
2020	J	`jnl`	Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images. Pattern Recognit. Lett. Yusuf Çelik, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya
2019	J	`jnl`	A new approach for arrhythmia classification using deep coded features and LSTM networks. Comput. Methods Programs Biomed. Özal Yildirim, Ulas Baran Baloglu, Ru-San Tan, Edward J. Ciaccio, U. Rajendra Acharya
2019	C	`conf`	An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. INISTA Recen Özaln, Çagri Kaymak, Özal Yildirim, Aysegül Uçar, Yakup Demir, Cüneyt Güzelis
2019	J	`jnl`	Application of deep transfer learning for automated brain abnormality classification using MR images. Cogn. Syst. Res. Muhammed Talo, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya
2019	J	`jnl`	Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. J. Medical Syst. Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya
2019	J	`jnl`	Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Comput. Biol. Medicine Özal Yildirim, Muhammed Talo, Betül Ay Karakus, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya
2019	J	`jnl`	Classification of myocardial infarction with multi-lead ECG signals and deep CNN. Pattern Recognit. Lett. Ulas Baran Baloglu, Muhammed Talo, Özal Yildirim, Ru-San Tan, U. Rajendra Acharya
2019	J	`jnl`	Convolutional neural networks for multi-class brain disease detection using MRI images. Comput. Medical Imaging Graph. Muhammed Talo, Özal Yildirim, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya
2019	J	`jnl`	Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions. Neural Comput. Appl. Nihat Daldal, Özal Yildirim, Kemal Polat
2018	J	`jnl`	A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Medicine Özal Yildirim
2018	J	`jnl`	An efficient compression of ECG signals using deep convolutional autoencoders. Cogn. Syst. Res. Özal Yildirim, Ru-San Tan, U. Rajendra Acharya
2018	J	`jnl`	Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. Sensors Krzysztof Rzecki, Tomasz Sosnicki, Mateusz Baran, Michal Niedzwiecki, Malgorzata Król, Tomasz Lojewski, U. Rajendra Acharya, Özal Yildirim, Pawel Plawiak
2018	J	`jnl`	Arrhythmia detection using deep convolutional neural network with long duration ECG signals. Comput. Biol. Medicine Özal Yildirim, Pawel Plawiak, Ru-San Tan, U. Rajendra Acharya
2015	—	`conf`	An FPGA based power quality monitoring system. SIU Özal Yildirim, Belkis Eristi, Hüseyin Eristi, Sencer Unal, Yavuz Erol, Yakup Demir
2012	—	`conf`	Classification of power quality event using wavelet transform and associaton rules. SIU Hüseyin Eristi, Özal Yildirim, Belkis Eristi, Yakup Demir