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2020 – today
- 2025
[j8]Hatice Catal Reis
, Veysel Turk:
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection. Pattern Recognit. 159: 111182 (2025)- 2024
- [j7]Hatice Catal Reis, Veysel Turk:
Fusion of transformer attention and CNN features for skin cancer detection. Appl. Soft Comput. 164: 112013 (2024) - [j6]Hatice Catal Reis, Veysel Turk:
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks. Eng. Appl. Artif. Intell. 133: 108307 (2024) - 2023
- [j5]Hatice Catal Reis, Veysel Turk:
Detection of forest fire using deep convolutional neural networks with transfer learning approach. Appl. Soft Comput. 143: 110362 (2023) - [j4]Hatice Catal Reis, Veysel Turk:
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database. J. Digit. Imaging 36(1): 306-325 (2023) - [j3]Hatice Catal Reis, Veysel Turk, Kourosh Khoshelham, Serhat Kaya:
MediNet: transfer learning approach with MediNet medical visual database. Multim. Tools Appl. 82(25): 39211-39254 (2023) - 2022
- [j2]Hatice Catal Reis, Veysel Turk:
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images. Artif. Intell. Medicine 134: 102427 (2022) - [j1]Hatice Catal Reis, Veysel Turk, Kourosh Khoshelham, Serhat Kaya:
InSiNet: a deep convolutional approach to skin cancer detection and segmentation. Medical Biol. Eng. Comput. 60(3): 643-662 (2022)
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