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ORCIDIshak Paçal
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2020 – today
- 2026
[j32]Ishak Pacal
, Tathagat Banerjee:
Towards accurate and interpretable brain tumor diagnosis: T-FSPANNet with Tri-Attribute and pyramidal attention-based feature fusion. Biomed. Signal Process. Control. 113: 108852 (2026)- [j31]Omneya Attallah, Ishak Paçal:
Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification. Biomed. Signal Process. Control. 113: 108973 (2026) - [j30]Ishak Pacal, Ali Algarni, Ismail Kunduracioglu:
Adaptive and efficient deep learning model for automated ischemic stroke lesion segmentation. Biomed. Signal Process. Control. 118: 109658 (2026) - [j29]Büsra Karaagaç Eskibaglar, Yelda Polat Yavuz, Gizem Karagöz Dogan, Ali Algarni, Yigitcan Cakmak, Ishak Pacal:
Denta-HybridoNet: a hybrid CNN-transformer architecture for automated detection of developmental dental anomalies in pediatric panoramic radiographs. Biomed. Signal Process. Control. 118: 109784 (2026) - [j28]Ibrahim Aruk, Ishak Paçal, Ahmet Nusret Toprak:
A comprehensive comparison of convolutional neural network and visual transformer models on skin cancer classification. Comput. Biol. Chem. 120: 108713 (2026) - [j27]Shahid Mohammad Ganie, Ishak Pacal:
DiSCNet: Directional Split Convolution for compute-efficient brain tumor diagnosis. Comput. Biol. Chem. 124: 109066 (2026) - [j26]Burhanettin Ozdemir, Fethi Sermet, Ishak Paçal:
Attention-enhanced ConvNeXt for accurate, efficient, and interpretable crack detection. Expert Syst. Appl. 296: 129165 (2026) - 2025
- [j25]Burhanettin Ozdemir, Emrah Aslan, Ishak Paçal:
Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection. IEEE Access 13: 27050-27069 (2025) - [j24]Ishak Paçal, Serhat Kiliçarslan, Burhanettin Ozdemir, Muhammet Deveci, Seifedine Kadry:
Efficient and autonomous detection of olive leaf diseases using AI-enhanced MetaFormer. Artif. Intell. Rev. 58(10): 303 (2025) - [j23]Ishak Paçal, Burhanettin Ozdemir, Javanshir Zeynalov, Huseyn Gasimov, Nurettin Pacal:
A novel CNN-ViT-based deep learning model for early skin cancer diagnosis. Biomed. Signal Process. Control. 104: 107627 (2025) - [j22]Ishak Paçal, Omneya Attallah:
InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis. Biomed. Signal Process. Control. 110: 108116 (2025) - [j21]Ibrahim Aruk, Ishak Paçal, Ahmet Nusret Toprak:
A novel hybrid ConvNeXt-based approach for enhanced skin lesion classification. Expert Syst. Appl. 283: 127721 (2025) - [j20]Ishak Paçal, Omneya Attallah:
Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction. Knowl. Based Syst. 319: 113625 (2025) - [j19]Ishak Paçal, Gültekin Isik:
Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification. Neural Comput. Appl. 37(4): 2479-2496 (2025) - 2024
- [j18]Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. IEEE Access 12: 79428-79444 (2024) - [j17]Ishak Paçal, Ismail Kunduracioglu, Mehmet Hakki Alma, Muhammet Deveci, Seifedine Nimer Kadry, Jan Nedoma, Vlastimil Slany, Radek Martinek:
A systematic review of deep learning techniques for plant diseases. Artif. Intell. Rev. 57(11) (2024) - [j16]Ishak Paçal, Omer Celik, Bilal Bayram, António Cunha:
Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification. Clust. Comput. 27(8): 11187-11212 (2024) - [j15]Ishak Paçal:
Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model. Expert Syst. Appl. 238(Part E): 122099 (2024) - [j14]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:
A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System. J. Imaging Inform. Medicine 37(5): 2559-2580 (2024) - [j13]Ishak Paçal, Melek Alaftekin, Ferhat D. Zengul:
Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP. J. Imaging Inform. Medicine 37(6): 3174-3192 (2024) - [j12]Ishak Paçal:
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection. Knowl. Based Syst. 289: 111482 (2024) - [j11]Ishak Paçal:
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images. Int. J. Mach. Learn. Cybern. 15(9): 3579-3597 (2024) - [j10]Mohammed Lubbad, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan U. Nalbantoglu, Ishak Paçal:
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review. Neural Comput. Appl. 36(12): 6355-6379 (2024) - [j9]Melek Alaftekin, Ishak Paçal, Kenan Cicek:
Real-time sign language recognition based on YOLO algorithm. Neural Comput. Appl. 36(14): 7609-7624 (2024) - [j8]Gültekin Isik, Ishak Paçal:
Few-shot classification of ultrasound breast cancer images using meta-learning algorithms. Neural Comput. Appl. 36(20): 12047-12059 (2024) - [c5]Inês Castro Fernandes, Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR. CENTERIS/ProjMAN/HCist 2024: 1108-1115 - 2023
- [j7]Ahmet Karaman, Dervis Karaboga, Ishak Paçal, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin:
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. 53(12): 15603-15620 (2023) - [j6]Damla Coskun, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Serap Dogan, Ishak Paçal, Meryem Altin Karagöz:
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. Turkish J. Electr. Eng. Comput. Sci. 31(7): 1294-1313 (2023) - [j5]Ahmet Karaman, Ishak Paçal, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin, Dervis Karaboga:
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. 221: 119741 (2023) - [j4]Ishak Paçal, Serhat Kiliçarslan:
Deep learning-based approaches for robust classification of cervical cancer. Neural Comput. Appl. 35(25): 18813-18828 (2023) - [c4]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 1653-1661 - [c3]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 2065-2073 - [c2]Rodrigo Fernandes, Marta Salgado, Ishak Paçal, António Cunha:
Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR. MobiHealth 2023: 195-207 - [c1]Francisco Oliveira, Dalila Barbosa, Ishak Paçal, Danilo Leite, António Cunha:
Automatic Detection of Polyps Using Deep Learning. MobiHealth 2023: 254-263 - 2022
- [b1]Ishak Paçal:
Derin öğrenme tabanlı gerçek zamanlı polip tespit yöntemlerinin geliştirilmesi ve incelenmesi (Development and investigation of deep learning based real-time polyp detection methods). Erciyes University, Turkey, 2022 - [j3]Ishak Paçal, Ahmet Karaman, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun:
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput. Biol. Medicine 141: 105031 (2022) - 2021
- [j2]Ishak Paçal, Dervis Karaboga:
A robust real-time deep learning based automatic polyp detection system. Comput. Biol. Medicine 134: 104519 (2021) - 2020
- [j1]Ishak Paçal, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu:
A comprehensive review of deep learning in colon cancer. Comput. Biol. Medicine 126: 104003 (2020)
Coauthor Index
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