| Cardiac arrhythmia detection from 2d ecg images by using deep learning technique E Izci, MA Ozdemir, M Degirmenci, A Akan 2019 medical technologies congress (TIPTEKNO), 1-4, 2019 | 114 | 2019 |
| EEG-based emotion recognition with deep convolutional neural networks MA Ozdemir, M Degirmenci, E Izci, A Akan Biomedical Engineering/Biomedizinische Technik 66 (1), 43-57, 2021 | 64 | 2021 |
| Arrhythmic heartbeat classification using 2d convolutional neural networks M Degirmenci, MA Ozdemir, E Izci, A Akan Irbm 43 (5), 422-433, 2022 | 44 | 2022 |
| Arrhythmia detection on ECG signals by using empirical mode decomposition E Izci, MA Ozdemir, R Sadighzadeh, A Akan 2018 Medical Technologies National Congress (TIPTEKNO), 1-4, 2018 | 40 | 2018 |
| ECG arrhythmia detection with deep learning E İzci, M Değirmenci, MA Özdemir, A Akan 2020 28th signal processing and communications applications conference (SIU …, 2020 | 11 | 2020 |
| Synthesis, characterization and investigation of thermal, mechanical and antibacterial properties of boric acid-incorporated polyurethane foams S Sürdem, Aİ Yörükoğlu, S Öztürk, Eİ İzcİ, G Yilmaz Bulletin of Materials Science 45, 1-12, 2022 | 1 | 2022 |
| An EEG and machine learning based method for the detection of major depressive disorder E İzcı, MA Özdemır, A Akan, MA Özçoban, MK Arikan 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | 1 | 2021 |
| Majör depresif bozukluğunun tespiti için çok kanallı EEG sinyallerinin analizi E İzci PQDT-Global, 2021 | | 2021 |
