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Güzin Özmen
Güzin Özmen
Selçuk Üniversitesi- Biyomedikal Mühendisliği
Verified email at selcuk.edu.tr
Title
Cited by
Cited by
Year
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
222018
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
102022
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
102020
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
72022
Servikal bölgede oluşan kas yorgunluğunun yüzey elektromiyogram bilgileri ile değerlendirilmesi
G Özmen
Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2013
52013
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
32022
Monitoring of electromyographic (EMG) signals with USB interface
G Özmen, Y Özbay
International Journal of Arts and Sciences 3 (1), 61-68, 2009
32009
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
22017
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
22016
İnsansız Hava Araçlarında Gömülü Sistem Üzerinden Derin Öğrenme ile Nesne Tespiti
Z SAYGILI, G ÖZMEN
Avrupa Bilim ve Teknoloji Dergisi, 292-298, 2022
12022
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
12014
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
12014
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
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