| Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-ray Images T Ozturk, M Talo, EA Yildirim, UB Baloglu, O Yildirim, UR Acharya Computers in Biology and Medicine, 2020 | 711 | 2020 |
| A Novel Wavelet Sequence Based on Deep Bidirectional LSTM Network Model for ECG Signal Classification O Yildirim Computers in Biology and Medicine 96, 189-202, 2018 | 302 | 2018 |
| Arrhythmia Detection Using Deep Convolutional Neural Network With Long Duration ECG Signals O Yildirim, P Plawiak, RS Tan, UR Acharya Computers in Biology and Medicine 102, 411-420, 2018 | 291 | 2018 |
| Application of deep transfer learning for automated brain abnormality classification using MR images M Talo, UB Baloglu, O Yildirim, UR Acharya Cognitive Systems Research 54, 176-188, 2019 | 200 | 2019 |
| Classification of Myocardial Infarction with Multi-Lead ECG Signals and Deep CNN UB Baloglu, M Talo, O Yildirim, RS Tan, UR Acharya Pattern Recognition Letters 122, 23-30, 2019 | 129 | 2019 |
| A New Approach for Arrhythmia Classification Using Deep Coded Features and LSTM Networks O Yildirim, UB Baloglu, RS Tan, JE Ciaccio, UR Acharya Computer Methods and Programs in Biomedicine, 121-133, 2019 | 113 | 2019 |
| Face Recognition Based on Convolutional Neural Network M Coşkun, A Uçar, Ö Yıldırım, Y Demir | 112 | 2017 |
| Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines H Erişti, Ö Yıldırım, B Erişti, Y Demir International Journal of Electrical Power & Energy Systems 49, 95-103, 2013 | 99 | 2013 |
| An Efficient Compression of ECG Signals Using Deep Convolutional Autoencoders O Yildirim, RS Tan, UR Acharya Cognitive Systems Research 52, 198-211, 2018 | 95 | 2018 |
| Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images Y Celik, M Talo, O Yildirim, M Karabatak, UR Acharya Pattern Recognition Letters, 2020 | 88 | 2020 |
| Convolutional neural networks for multi-class brain disease detection using MRI images M Talo, O Yildirim, UB Baloglu, G Aydin, UR Acharya Computerized Medical Imaging and Graphics, 2019 | 86 | 2019 |
| Automatic recognition system of underlying causes of power quality disturbances based on S-Transform and Extreme Learning Machine H Erişti, Ö Yıldırım, B Erişti, Y Demir International Journal of Electrical Power & Energy Systems 61, 553-562, 2014 | 77 | 2014 |
| A deep learning model for automated sleep stages classification using PSG signals O Yildirim, UB Baloglu, UR Acharya International Journal of Environmental Research and Public Health, 2019 | 66 | 2019 |
| A Deep Convolutional Neural Network Model for Automated Identification of Abnormal EEG Signals O Yildirim, UB Baloglu, UR Acharya Neural Computing and Applications, 15857–15868, 2020 | 60 | 2020 |
| Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals Ö Yildirim, M Talo, B Ay, UB Baloglu, G Aydin, UR Acharya Computers in Biology and Medicine 113, 2019 | 54 | 2019 |
| Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals B Ay, O Yildirim, M Talo, UB Baloglu, G Aydin, S D.P, UR Acharya Journal of Medical Systems, 2019 | 46 | 2019 |
| Application of deep learning techniques for heartbeats detection using ECG signals-Analysis and Review F Murat, O Yildirim, M Talo, UB Baloglu, Y Demir, UR Acharya Computers in Biology and Medicine, 2020 | 40 | 2020 |
| An Overview of Popular Deep Learning Methods M Coskun, O Yildirim, A Ucar, Y Demir European Journal of Technic 7 (2), 165-176, 2017 | 37 | 2017 |
| A New Embedded Power Quality Event Classification System Based on the Wavelet Transform B Eristi, O Yildirim, H Eristi, Y Demir International Transactions on Electrical Energy Systems 28 (9), 2018 | 28 | 2018 |
| Fpga-Based Online Power Quality Monitoring System For Electrical Distribution Network O Yildirim, B Eristi, H Eristi, S Unal, Y Erol, Y Demir Measurement 121, 109-121, 2018 | 28 | 2018 |
U Rajendra Acharya (SCI Highly Cited...Ngee Ann, Singapore University of Social Science, University of Malaya, Malaysianp.edu.sg üzerinde doğrulanmış e-posta adresine sahip
