Hatice Catal Reis

According to our database, Hatice Catal Reis authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification.

Hatice Catal Reis, Veysel Turk

Expert Syst. Appl., 2026

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, January, 2025

DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection.

Hatice Catal Reis, Veysel Turk

Pattern Recognit., 2025

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

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

Fusion of transformer attention and CNN features for skin cancer detection.

Hatice Catal Reis, Veysel Turk

Appl. Soft Comput., 2024

2023

MediNet: transfer learning approach with MediNet medical visual database.

Hatice Catal Reis, Veysel Turk, Kourosh Khoshelham, Serhat Kaya

Multim. Tools Appl., October, 2023

Detection of forest fire using deep convolutional neural networks with transfer learning approach.

Hatice Catal Reis, Veysel Turk

Appl. Soft Comput., August, 2023

Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.

Hatice Catal Reis, Veysel Turk

J. Digit. Imaging, February, 2023

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

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