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BURAK TAŞCI
BURAK TAŞCI
Fırat Üniversitesi, Associate Professor
在 firat.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals
G Tasci, HW Loh, PD Barua, M Baygin, B Tasci, S Dogan, T Tuncer, ...
Knowledge-Based Systems 260, 110190, 2023
432023
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data
F Demir, Y Akbulut, B Taşcı, K Demir
Biomedical Signal Processing and Control 81, 104424, 2023
392023
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
I Tasci, B Tasci, PD Barua, S Dogan, T Tuncer, EE Palmer, H Fujita, ...
Information Fusion 96, 252-268, 2023
382023
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
S Dogan, M Baygin, B Tasci, HW Loh, PD Barua, T Tuncer, RS Tan, ...
Cognitive Neurodynamics 17 (3), 647-659, 2023
362023
An effective and robust approach based on r-cnn+ lstm model and ncar feature selection for ophthalmological disease detection from fundus images
F Demir, B Taşcı
Journal of Personalized Medicine 11 (12), 1276, 2021
362021
An accurate multiple sclerosis detection model based on exemplar multiple parameters local phase quantization: ExMPLPQ
G Macin, B Tasci, I Tasci, O Faust, PD Barua, S Dogan, T Tuncer, RS Tan, ...
Applied Sciences 12 (10), 4920, 2022
322022
Deep feature extraction based brain image classification model using preprocessed images: PDRNet
B Tasci, I Tasci
Biomedical Signal Processing and Control 78, 103948, 2022
242022
A review of deep reinforcement learning algorithms and comparative results on inverted pendulum system
R Özalp, NK Varol, B Taşci, A Uçar
Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020
202020
Automated ischemic acute infarction detection using pre-trained CNN models’ deep features
B Tasci
Biomedical Signal Processing and Control 82, 104603, 2023
162023
QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals
G Tasci, MV Gun, T Keles, B Tasci, PD Barua, I Tasci, S Dogan, M Baygin, ...
Chaos, Solitons & Fractals 172, 113472, 2023
132023
A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset
B Taşcı, MR Acharya, PD Barua, AM Yildiz, MV Gun, T Keles, S Dogan, ...
Applied Acoustics 196, 108897, 2022
132022
A novel ternary pattern-based automatic psychiatric disorders classification using ECG signals
B Tasci, G Tasci, S Dogan, T Tuncer
Cognitive Neurodynamics 18 (1), 95-108, 2024
122024
Attention deep feature extraction from brain MRIs in explainable mode: Dgxainet
B Taşcı
Diagnostics 13 (5), 859, 2023
92023
ASNET: A Novel AI Framework for Accurate Ankylosing Spondylitis Diagnosis from MRI
N Tas, O Kaya, G Macin, B Tasci, S Dogan, T Tuncer
Biomedicines 11 (9), 1-15, 2023
92023
Classification of Skin Lesion Images Using Feature Selection Algorithm in Pre-Trained Convolutional Neural Network Models
B Tasci
Fırat Üniversitesi Mühendislik Bilimleri Dergisi 34 (2), 541-552, 2022
6*2022
A new dataset for EEG abnormality detection MTOUH
İ Taşcı, B Taşcı, S Doğan, T Tuncer
Turkish Journal of Science and Technology 17 (1), 135-141, 2022
62022
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
S Tatli, G Macin, I Tasci, B Tasci, PD Barua, M Baygin, T Tuncer, S Dogan, ...
Expert Systems with Applications 236, 121314, 2024
52024
InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
B Tasci, MR Acharya, M Baygin, S Dogan, T Tuncer, SB Belhaouari
International Journal of Applied Earth Observation and Geoinformation 123 …, 2023
52023
Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis
T Ekmekyapar, B Taşcı
Diagnostics 13 (19), 3030, 2023
42023
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
B Tasci, G Tasci, H Ayyildiz, AP Kamath, PD Barua, T Tuncer, S Dogan, ...
Multimedia Tools and Applications 83 (14), 42735-42763, 2024
32024
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