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 | 298 | 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 | 229 | 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 | 214 | 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 | 128 | 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 | 88 | 2019 |
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 | 86 | 2013 |
An Efficient Compression of ECG Signals Using Deep Convolutional Autoencoders O Yildirim, RS Tan, UR Acharya Cognitive Systems Research 52, 198-211, 2018 | 73 | 2018 |
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 | 72 | 2019 |
Face Recognition Based on Convolutional Neural Network M Coşkun, A Uçar, Ö Yıldırım, Y Demir | 70 | 2017 |
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 | 68 | 2014 |
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 | 44* | 2020 |
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 | 42 | 2019 |
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 | 38 | 2019 |
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 | 35 | 2019 |
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 | 34 | 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 | 27 | 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 | 26 | 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 | 25 | 2018 |
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 | 24 | 2019 |
Application of computational intelligence methods for the automated identification of paper-ink samples based on LIBS K Rzecki, T Sosnicki, M Baran, M Niedzwiecki, M Król, T Łojewski, ... Sensors 18 (11), 3670; doi:10.3390/s18113670, 2018 | 22 | 2018 |