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 121, 103792, 2020 | 2625 | 2020 |
Arrhythmia detection using deep convolutional neural network with long duration ECG signals Ö Yıldırım, P Pławiak, RS Tan, UR Acharya Computers in biology and medicine 102, 411-420, 2018 | 751 | 2018 |
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification Ö Yildirim Computers in biology and medicine 96, 189-202, 2018 | 703 | 2018 |
Application of deep transfer learning for automated brain abnormality classification using MR images M Talo, UB Baloglu, Ö Yıldırım, UR Acharya Cognitive Systems Research 54, 176-188, 2019 | 510 | 2019 |
Classification of myocardial infarction with multi-lead ECG signals and deep CNN UB Baloglu, M Talo, O Yildirim, R San Tan, UR Acharya Pattern recognition letters 122, 23-30, 2019 | 403 | 2019 |
A new approach for arrhythmia classification using deep coded features and LSTM networks O Yildirim, UB Baloglu, RS Tan, EJ Ciaccio, UR Acharya Computer methods and programs in biomedicine 176, 121-133, 2019 | 322 | 2019 |
Face recognition based on convolutional neural network M Coşkun, A Uçar, Ö Yildirim, Y Demir 2017 international conference on modern electrical and energy systems (MEES …, 2017 | 317 | 2017 |
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 133, 232-239, 2020 | 302 | 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 78, 101673, 2019 | 283 | 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 120, 103726, 2020 | 252 | 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 16 (4), 599, 2019 | 229 | 2019 |
Automated depression detection using deep representation and sequence learning with EEG signals B Ay, O Yildirim, M Talo, UB Baloglu, G Aydin, SD Puthankattil, ... Journal of medical systems 43, 1-12, 2019 | 217 | 2019 |
An efficient compression of ECG signals using deep convolutional autoencoders O Yildirim, R San Tan, UR Acharya Cognitive Systems Research 52, 198-211, 2018 | 207 | 2018 |
A deep convolutional neural network model for automated identification of abnormal EEG signals Ö Yıldırım, UB Baloglu, UR Acharya Neural Computing and Applications 32 (20), 15857-15868, 2020 | 182 | 2020 |
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals O Yildirim, M Talo, B Ay, UB Baloglu, G Aydin, UR Acharya Computers in biology and medicine 113, 103387, 2019 | 141 | 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 | 132 | 2013 |
An overview of popular deep learning methods M Coşkun, Ö YILDIRIM, U Ayşegül, Y Demir European Journal of Technique (EJT) 7 (2), 165-176, 2017 | 126 | 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 | 100 | 2014 |
Deep learning model for automated kidney stone detection using coronal CT images K Yildirim, PG Bozdag, M Talo, O Yildirim, M Karabatak, UR Acharya Computers in biology and medicine 135, 104569, 2021 | 94 | 2021 |
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records O Yildirim, M Talo, EJ Ciaccio, R San Tan, UR Acharya Computer methods and programs in biomedicine 197, 105740, 2020 | 92 | 2020 |