A new denoising method for fMRI based on weighted three-dimensional wavelet transform G Özmen, S Özşen Neural Computing and Applications 29, 263-276, 2018 | 22 | 2018 |
Neuroscience and architecture: What does the brain tell to an emotional experience of architecture via a functional MR study? N Khaleghimoghaddam, HA Bala, G Özmen, Ş Öztürk Frontiers of Architectural Research 11 (5), 877-890, 2022 | 10 | 2022 |
Follicle detection for polycystic ovary syndrome by using image processing methods PG YILMAZ, G ÖZMEN International Journal of Applied Mathematics Electronics and Computers 8 (4 …, 2020 | 10 | 2020 |
Machine learning-based detection of sleep-disordered breathing type using time and time-frequency features M Balci, S Tasdemir, G Ozmen, A Golcuk Biomedical Signal Processing and Control 73, 103402, 2022 | 7 | 2022 |
Servikal bölgede oluşan kas yorgunluğunun yüzey elektromiyogram bilgileri ile değerlendirilmesi G Özmen Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2013 | 5 | 2013 |
Sound Analysis to Recognize Cattle Vocalization in a Semi-open Barn G Özmen, İA OZKAN, I Seref, S TASDEMIR, ÇAM Mustafa, E ARSLAN Gazi Mühendislik Bilimleri Dergisi 8 (1), 158-167, 2022 | 3 | 2022 |
Monitoring of electromyographic (EMG) signals with USB interface G Özmen, Y Özbay International Journal of Arts and Sciences 3 (1), 61-68, 2009 | 3 | 2009 |
Classification of Cervical Disc Herniation Disease using Muscle Fatigue based surface EMG signals by Artificial Neural Networks G Ozmen, AH Ekmekci International Journal of Intelligent Systems and Applications in Engineering …, 2017 | 2 | 2017 |
Denoising MR images with weighted 3D discrete wavelet transform G Ozmen, S Ozsen, B Yilmaz Proceeding of the 4th International Conference on Advanced Technology …, 2016 | 2 | 2016 |
İnsansız Hava Araçlarında Gömülü Sistem Üzerinden Derin Öğrenme ile Nesne Tespiti Z SAYGILI, G ÖZMEN Avrupa Bilim ve Teknoloji Dergisi, 292-298, 2022 | 1 | 2022 |
The evaluation of the muscle fatigue using frequency features in the cervical region G Özmen, Y Özbay, AH Ekmekci 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 1 | 2014 |
EMG Sinyallerinde Kas Yorgunluğunun YSA ile Sınıflandırılması Muscle Fatigue Classification with ANN in EMG signals G ÖZMEN, Y ÖZBAY, AH EKMEKCİ Kapadokya: Perissia Hotel & Convention Center, 2014 | 1 | 2014 |
Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method G Özmen, S Özşen, Y Paksoy, Ö Güler, R Tekdemir Multimedia Tools and Applications 83 (4), 11805-11829, 2024 | | 2024 |
CNN Based Determination of Polycystic Ovarian Syndrome using Automatic Follicle Detection Methods PG YILMAZ, G ÖZMEN, H ALPTEKİN Journal of Polytechnic 1 (Erken Görünüm), 2023 | | 2023 |
Detection of Fetal QRS from Single-Channel Abdominal ECG using Spectrogram and ResNet18 G Özmen International Conference on Intelligent Systems and New Applications …, 2023 | | 2023 |
Prediction of Cervical Disc Herniating Disease Utilizing Trapezius sEMG Signals with Machine Learning Techniques Based on Frequency Domain Feature Extraction B YILMAZ, G ÖZMEN, H EKMEKCİ Konya Journal of Engineering Sciences 11 (1), 205-219, 2023 | | 2023 |
Quantitative evaluation of the cerebellum in patients with depression and healthy adults by VolBrain method G ÖZMEN, DA SAYGIN, İİ UYSAL, S ÖZŞEN, Y PAKSOY, Ö GÜLER Anatomy 15 (3), 207-215, 2022 | | 2022 |
İnsansız Hava Araçları Sürülerinin Akıllı Hedef Tespit Yöntemi Z SAYGILI, G ÖZMEN FiveZero 2 (1), 13-18, 2022 | | 2022 |
Parkinson Hastalarının Dikkat Fonksiyonlarının Cinsiyet Açısından Değerlendirilmesi: Bir fMRG Çalışması N Yılmaz, G Özmen Avrupa Bilim ve Teknoloji Dergisi, 843-848, 2021 | | 2021 |
Brain Image Segmentation Using Multistable Cellular Neural Networks B Yılmaz, A Durdu, G Özmen | | 2018 |