Hatice Catal Reis

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-scale context-aware deep learning framework for medical disease diagnosis.
Biomed. Signal Process. Control.
Hatice Catal Reis, Veysel Turk
2026 J jnl
Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification.
Expert Syst. Appl.
Hatice Catal Reis, Veysel Turk
2025 J jnl
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection.
Comput. Biol. Medicine
Hatice Catal Reis, Veysel Turk
2025 J jnl
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods.
Neural Comput. Appl.
Hatice Catal Reis, Veysel Turk
2025 J jnl
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection.
Pattern Recognit.
Hatice Catal Reis, Veysel Turk
2025 J jnl
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration.
Earth Sci. Informatics
Hatice Catal Reis, Veysel Turk, Mustafa Ustuner, Cagla Melisa Kaya Yildiz, Ramazan Tatli
2024 J jnl
Fusion of transformer attention and CNN features for skin cancer detection.
Appl. Soft Comput.
Hatice Catal Reis, Veysel Turk
2024 J jnl
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks.
Eng. Appl. Artif. Intell.
Hatice Catal Reis, Veysel Turk
2023 J jnl
Detection of forest fire using deep convolutional neural networks with transfer learning approach.
Appl. Soft Comput.
Hatice Catal Reis, Veysel Turk
2023 J jnl
MediNet: transfer learning approach with MediNet medical visual database.
Multim. Tools Appl.
Hatice Catal Reis, Veysel Turk, Kourosh Khoshelham, Serhat Kaya
2023 J jnl
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.
J. Digit. Imaging
Hatice Catal Reis, Veysel Turk
2022 J jnl
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
Hatice Catal Reis, Veysel Turk
2022 J jnl
InSiNet: a deep convolutional approach to skin cancer detection and segmentation.
Medical Biol. Eng. Comput.
Hatice Catal Reis, Veysel Turk, Kourosh Khoshelham, Serhat Kaya