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Veysel Turk
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InSiNet: a deep convolutional approach to skin cancer detection and segmentation
HC Reis, V Turk, K Khoshelham, S Kaya
Medical & Biological Engineering & Computing, 1-20, 2022
1152022
Detection of forest fire using deep convolutional neural networks with transfer learning approach
HC Reis, V Turk
Applied Soft Computing 143, 110362, 2023
542023
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
HC Reis, V Turk
Artificial Intelligence in Medicine 134, 102427, 2022
362022
Transfer learning approach and nucleus segmentation with medclnet colon cancer database
HC Reis, V Turk
Journal of Digital Imaging 36 (1), 306-325, 2023
242023
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
HC Reis, V Turk
Engineering Applications of Artificial Intelligence 133, 108307, 2024
232024
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
HC Reis, V Turk
Microchemical Journal 197, 109790, 2024
172024
MediNet: transfer learning approach with MediNet medical visual database
HC Reis, V Turk, K Khoshelham, S Kaya
Multimedia Tools and Applications 82 (25), 39211-39254, 2023
102023
Fusion of transformer attention and CNN features for skin cancer detection
HC Reis, V Turk
Applied Soft Computing 164, 112013, 2024
62024
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
HC Reis, V Turk, S Karacur, AM Kurt
Structures 62, 106179, 2024
42024
Automatic prediction of covid-19 from chest-computed tomography (CT) images using deep learning architectures
V Türk, HÇ Reis, S Kaya
Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 76-88, 2022
12022
DSCIMABNet: A Novel Multi-Head Attention Depthwise Separable CNN Model for Skin Cancer Detection
H Catal Reis, V Turk
Available at SSRN 4596632, 0
1
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
HC Reis, V Turk
Pattern Recognition 159, 111182, 2025
2025
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration
HC Reis, V Turk, M Ustuner, CM Kaya Yildiz, R Tatli
Earth Science Informatics 18 (1), 133, 2025
2025
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
HC Reis, V Turk
Neural Computing and Applications, 1-35, 2024
2024
Detection of COVID-19 infection from CT images using the medical photogrammetry technique
HÇ Reis, V Türk, S Kaya
Mersin Photogrammetry Journal 5 (2), 42-54, 2023
2023
AN ENSEMBLE LEARNING MODEL FOR EARLY DETECTION OF DEMENTIA FROM MRI IMAGES
V Turk, H Arslan, HC Reis
2023
Sentinel-2A uydu görüntüsü kullanarak denetimsiz sınıflandırma ile sel alanı çıkarma: Bozkurt (Kastamonu) örneği
A Güllüce, HÇ Reis, V Türk
TMMOB 7. Coğrafi Bilgi Sistemleri Kongresi, 1-2, 2022
2022
Covid-19 Detection from Computerized Tomography Images with Deep Learning Models: AlexNet, CNN, Bi-LSTM
HC Reis, V Turk, S Kaya
2022
RS-DSINET: TAVSİYE SİSTEMLERİ DERECELENDİRME PROBLEMİ İÇİN GELİŞTİRİLMİŞ YENİ BİR DERİN ÖĞRENME MODELİ
V Türk
2022
Machine Learning Applications to Predict Coronavirus Disease 2019 (COVID-19)
HC Reis, S Kaya, V Turk
INTERNATIONAL ONLINE CONFERENCES ON ENGINEERING AND NATURAL SCIENCES 21, 187, 2021
2021
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Articles 1–20