| 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 | 116 | 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 | 68 | 2021 |
| Arrhythmic heartbeat classification using 2d convolutional neural networks M Degirmenci, MA Ozdemir, E Izci, A Akan Irbm 43 (5), 422-433, 2022 | 46 | 2022 |
| EEG based emotional state estimation using 2-D deep learning technique MA Ozdemir, M Degirmenci, O Guren, A Akan 2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019 | 27 | 2019 |
| Emotion recognition from EEG signals by using empirical mode decomposition M Degirmenci, MA Ozdemir, R Sadighzadeh, A Akan 2018 Medical Technologies National Congress (TIPTEKNO), 1-4, 2018 | 24 | 2018 |
| Evaluation of Wigner-Ville distribution features to estimate steady-state visual evoked potentials' stimulation frequency M Değirmenci, M Degirmenci, E Sayılgan, E Sayilgan, Y İşler, Y Isler Akıllı Sistemler ve Uygulamaları Dergisi 4 (2), 133-136, 2021 | 13 | 2021 |
| ECG arrhythmia detection with deep learning E İzci, M Değirmenci, MA Özdemir, A Akan 2020 28th signal processing and communications applications conference (SIU …, 2020 | 12 | 2020 |
| Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs M Degirmenci, YK Yuce, M Perc, Y Isler Frontiers in Human Neuroscience 17, 2023 | 7 | 2023 |
| Motor Imaginary Task Classification using Statistically Significant Time Domain and Frequency Domain EEG features Istatistiksel olarak Anlamlı EEG Zaman Alanı ve Frekans Alanı … M Degirmenci, YK Yuce, Y Isler | 7 | 2022 |
| Motor imaginary task classification using statistically significant time-domain EEG features M Degirmenci, YK Yuce, Y Isler 2022 30th Signal Processing and Communications Applications Conference (SIU …, 2022 | 6 | 2022 |
| EEG based Epileptic Seizures Detection using Intrinsic Time-Scale Decomposition M Degirmenci, A Aydin 2020 Medical Technologies Congress (TIPTEKNO), 1-4, 2020 | 5 | 2020 |
| Classification of multi-class motor imaginary tasks using Poincare measurements extracted from EEG signals M Değirmenci, M Degirmenci, YK Yüce, YK Yuce, Y İşler, Y Isler Akıllı Sistemler ve Uygulamaları Dergisi 5 (2), 74-78, 2022 | 4 | 2022 |
| ECG Heartbeat Classification based on Signal-to-Image Transformation Using Convolutional Neural Networks M Degirmenci, MA Ozdemir, E Izci, A Akan | 1 | 2020 |
| EEG-based finger movement classification with intrinsic time-scale decomposition M Degirmenci, YK Yuce, M Perc, Y Isler Frontiers in Human Neuroscience 18, 1362135, 2024 | | 2024 |
| Durağan Durum Görsel Uyarılmış Potansiyellerin Uyarı Frekansını Kestirmek için Wigner-Ville Dağılım Özniteliklerinin Değerlendirilmesi Evaluation of Wigner-Ville Distribution … M Degirmenci, E Sayilgan, Y Isler | | |
| İstatistiksel anlamlı zaman alanı EEG özniteliklerinden el parmak hareketlerinin sınıflandırılması M Değirmenci, Y Yüce, Y İşler Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 39 (3), 1597-1610, 0 | | |
| Derin Öğrenme ile EKG Aritmi Tespiti ECG Arrhythmia Detection with Deep Learning E İZCİ, M DEĞİRMENCİ, MA ÖZDEMIR, A AKAN | | |
| 1Department of Biomedical Technologies, Institute of Science, Izmir Katip Celebi University, Cigli, Izmir, Turkey M Degirmenci, E Sayilgan, Y Isler | | |
| Classification of Multi-Class Motor Imaginary Tasks using Poincare Measurements Extracted from EEG Signals EEG Sinyallerinden Çıkarılan Poincare Ölçümlerini Kullanarak Çok … M Degirmenci, YK Yuce, Y Isler | | |
