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ORCIDÖzal Yildirim
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2020 – today
- 2024
[j23]Dilek Ozkan
, Oguzhan Katar, Murat Ak, Mugahed A. Al-antari, Nehir Yasan-Ak, Özal Yildirim, Hasan S. Mir, Ru San Tan, U. Rajendra Acharya:
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. IEEE Access 12: 127879-127902 (2024)- 2023
- [j22]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: 119005 (2023) - 2022
- [j21]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: 98633-98648 (2022) - [j20]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): 1990-2001 (2022) - [j19]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): 4437-4450 (2022) - [i1]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 abs/2210.14253 (2022) - 2021
- [j18]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: 104569 (2021) - [j17]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: 107473 (2021) - [c4]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:
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. CinC 2021: 1-4 - 2020
- [j16]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: 103726 (2020) - [j15]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: 103792 (2020) - [j14]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: 105740 (2020) - [j13]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): 15857-15868 (2020) - [j12]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: 232-239 (2020)
2010 – 2019
- 2019
- [j11]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) - [j10]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) - [j9]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: 121-133 (2019) - [j8]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: 176-188 (2019) - [j7]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): 205:1-205:12 (2019) - [j6]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): 1967-1981 (2019) - [j5]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: 23-30 (2019) - [c3]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: 1-5 - 2018
- [j4]Özal Yildirim:
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Medicine 96: 189-202 (2018) - [j3]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: 411-420 (2018) - [j2]Özal Yildirim, Ru San Tan, U. Rajendra Acharya:
An efficient compression of ECG signals using deep convolutional autoencoders. Cogn. Syst. Res. 52: 198-211 (2018) - [j1]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): 3670 (2018) - 2015
- [c2]Özal Yildirim, Belkis Eristi, Hüseyin Eristi, Sencer Unal, Yavuz Erol, Yakup Demir:
An FPGA based power quality monitoring system. SIU 2015: 1292-1295 - 2012
- [c1]Hüseyin Eristi, Özal Yildirim, Belkis Eristi, Yakup Demir:
Classification of power quality event using wavelet transform and associaton rules. SIU 2012: 1-4
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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