COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images. - Hatice Catal Reis; Veysel Turk (Artif. Intell. Medicine, 2022)

InSiNet: a deep convolutional approach to skin cancer detection and segmentation. - Hatice Catal Reis; Veysel Turk; Kourosh Khoshelham; Serhat Kaya (Medical Biol. Eng. Comput., 2022)

Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database. - Hatice Catal Reis; Veysel Turk (J. Digit. Imaging, 2023)

Detection of forest fire using deep convolutional neural networks with transfer learning approach. - Hatice Catal Reis; Veysel Turk (Appl. Soft Comput., 2023)

MediNet: transfer learning approach with MediNet medical visual database. - Hatice Catal Reis; Veysel Turk; Kourosh Khoshelham; Serhat Kaya (Multim. Tools Appl., 2023)

Fusion of transformer attention and CNN features for skin cancer detection. - Hatice Catal Reis; Veysel Turk (Appl. Soft Comput., 2024)

Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks. - Hatice Catal Reis; Veysel Turk (Eng. Appl. Artif. Intell., 2024)

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection. - Hatice Catal Reis; Veysel Turk (Comput. Biol. Medicine, 2025)

DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection. - Hatice Catal Reis; Veysel Turk (Pattern Recognit., 2025)

Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration. - Hatice Catal Reis; Veysel Turk; Mustafa Ustuner; Cagla Melisa Kaya Yildiz; Ramazan Tatli (Earth Sci. Informatics, 2025)

Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification. - Hatice Catal Reis; Veysel Turk (Expert Syst. Appl., 2026)