Ishak Paçal - RankMe

34 papers Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive comparison of convolutional neural network and visual transformer models on skin cancer classification. Comput. Biol. Chem. Ibrahim Aruk, Ishak Paçal, Ahmet Nusret Toprak
2026	J	`jnl`	Attention-enhanced ConvNeXt for accurate, efficient, and interpretable crack detection. Expert Syst. Appl. Burhanettin Ozdemir, Fethi Sermet, Ishak Paçal
2026	J	`jnl`	Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification. Biomed. Signal Process. Control. Omneya Attallah, Ishak Paçal
2025	J	`jnl`	A novel CNN-ViT-based deep learning model for early skin cancer diagnosis. Biomed. Signal Process. Control. Ishak Paçal, Burhanettin Ozdemir, Javanshir Zeynalov, Huseyn Gasimov, Nurettin Pacal
2025	J	`jnl`	A novel hybrid ConvNeXt-based approach for enhanced skin lesion classification. Expert Syst. Appl. Ibrahim Aruk, Ishak Paçal, Ahmet Nusret Toprak
2025	J	`jnl`	Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection. IEEE Access Burhanettin Ozdemir, Emrah Aslan, Ishak Paçal
2025	J	`jnl`	Efficient and autonomous detection of olive leaf diseases using AI-enhanced MetaFormer. Artif. Intell. Rev. Ishak Paçal, Serhat Kiliçarslan, Burhanettin Ozdemir, Muhammet Deveci, Seifedine Kadry
2025	J	`jnl`	Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction. Knowl. Based Syst. Ishak Paçal, Omneya Attallah
2025	J	`jnl`	InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis. Biomed. Signal Process. Control. Ishak Paçal, Omneya Attallah
2025	J	`jnl`	Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification. Neural Comput. Appl. Ishak Paçal, Gültekin Isik
2024	J	`jnl`	A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System. J. Imaging Inform. Medicine Mohammed Lubbad, Ikbal Leblebicioglu Kurtulus, Dervis Karaboga, Kerem Kilic, Alper Bastürk, Bahriye Akay, Özkan U. Nalbantoglu, Ozden Melis Durmaz Yilmaz, Mustafa Ayata, Serkan Yilmaz, Ishak Paçal
2024	—	`conf`	A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR. CENTERIS/ProjMAN/HCist Inês Castro Fernandes, Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha
2024	J	`jnl`	A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images. Int. J. Mach. Learn. Cybern. Ishak Paçal
2024	J	`jnl`	A systematic review of deep learning techniques for plant diseases. Artif. Intell. Rev. Ishak Paçal, Ismail Kunduracioglu, Mehmet Hakki Alma, Muhammet Deveci, Seifedine Nimer Kadry, Jan Nedoma, Vlastimil Slany, Radek Martinek
2024	J	`jnl`	Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification. Clust. Comput. Ishak Paçal, Omer Celik, Bilal Bayram, António Cunha
2024	J	`jnl`	Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. IEEE Access Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha
2024	J	`jnl`	Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP. J. Imaging Inform. Medicine Ishak Paçal, Melek Alaftekin, Ferhat D. Zengul
2024	J	`jnl`	Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model. Expert Syst. Appl. Ishak Paçal
2024	J	`jnl`	Few-shot classification of ultrasound breast cancer images using meta-learning algorithms. Neural Comput. Appl. Gültekin Isik, Ishak Paçal
2024	J	`jnl`	Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review. Neural Comput. Appl. Mohammed Lubbad, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan U. Nalbantoglu, Ishak Paçal
2024	J	`jnl`	MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection. Knowl. Based Syst. Ishak Paçal
2024	J	`jnl`	Real-time sign language recognition based on YOLO algorithm. Neural Comput. Appl. Melek Alaftekin, Ishak Paçal, Kenan Cicek
2023	J	`jnl`	A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. Turkish J. Electr. Eng. Comput. Sci. Damla Coskun, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Serap Dogan, Ishak Paçal, Meryem Altin Karagöz
2023	—	`conf`	Automatic Detection of Polyps Using Deep Learning. MobiHealth Francisco Oliveira, Dalila Barbosa, Ishak Paçal, Danilo Leite, António Cunha
2023	—	`conf`	Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR. MobiHealth Rodrigo Fernandes, Marta Salgado, Ishak Paçal, António Cunha
2023	J	`jnl`	Deep learning-based approaches for robust classification of cervical cancer. Neural Comput. Appl. Ishak Paçal, Serhat Kiliçarslan
2023	—	`conf`	Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha
2023	—	`conf`	Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha
2023	J	`jnl`	Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. Appl. Intell. Ahmet Karaman, Dervis Karaboga, Ishak Paçal, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin
2023	J	`jnl`	Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC). Expert Syst. Appl. Ahmet Karaman, Ishak Paçal, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin, Dervis Karaboga
2022	J	`jnl`	An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput. Biol. Medicine Ishak Paçal, Ahmet Karaman, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun
2022	—	`—`	Derin öğrenme tabanlı gerçek zamanlı polip tespit yöntemlerinin geliştirilmesi ve incelenmesi (Development and investigation of deep learning based real-time polyp detection methods) Ishak Paçal
2021	J	`jnl`	A robust real-time deep learning based automatic polyp detection system. Comput. Biol. Medicine Ishak Paçal, Dervis Karaboga
2020	J	`jnl`	A comprehensive review of deep learning in colon cancer. Comput. Biol. Medicine Ishak Paçal, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu