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ORCIDFaseela Abdullakutty
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2020 – today
- 2026
[j9]Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi
:
Dynamic model scaling based on segmented tumor size for breast cancer detection. Biomed. Signal Process. Control. 113: 109118 (2026)- [j8]Faseela Abdullakutty, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Rafif Al-Saady, Hadi Mohamad Abu Rasheed:
Attention-enhanced Mixture of Experts for multimodal breast cancer detection. Biomed. Signal Process. Control. 118: 109576 (2026) - [j7]Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Rafif Al-Saady, Ahmed Bouridane, Rifat Hamoudi:
A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection. Comput. Medical Imaging Graph. 127: 102687 (2026) - [j6]Younes Akbari, Faseela Abdullakutty, Somaya Ali Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Integrating histopathology and genomic data: a comparative study of fusion methods for breast cancer survival prediction. Complex Intell. Syst. 12(1) (2026) - [j5]Younes Akbari, Faseela Abdullakutty, Omar Elharrouss, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Denoising diffusion probabilistic model as a GAN generator for breast cancer histology images segmentation. Neural Comput. Appl. 38(5): 139 (2026) - 2025
- [j4]Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation. Cogn. Comput. 17(3): 114 (2025) - [c7]Ahmed Abdulhakim Zaid Baker AlSalahi, Sumaya Ali S. A. Al-Máadeed, Faseela Abdullakutty:
Multi-Layer Deep Feature Ensemble for Multiclass Fruit and Vegetable Freshness Classification. EUVIP 2025: 1-6 - [c6]Faseela Abdullakutty, Younes Akbari, Somaya Ali Al-Máadeed, Rafif Al-Saady, Hadi Mohamad Abu Rasheed:
Beyond Static Fusion: A Mixture-of-Experts Framework for Multimodal Breast Cancer Classification. IPTA 2025: 1-6 - 2024
- [c5]Faseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem:
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification. ICDM (Workshops) 2024: 137-145 - [c4]Faseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem:
Prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis. WISE (PhD Symposium, Demos and Workshops) 2024: 285-298 - [c3]Faseela Abdullakutty, Usman Naseem:
Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis. WWW (Companion Volume) 2024: 1681-1689 - [i1]Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability. CoRR abs/2406.12897 (2024) - 2023
- [c2]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. IJCNN 2023: 1-8 - 2022
- [j3]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston, Adamu Ali-Gombe:
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection. Cogn. Comput. 14(6): 2223-2233 (2022) - [j2]Faseela Abdullakutty, Pamela Johnston, Eyad Elyan:
Fusion Methods for Face Presentation Attack Detection. Sensors 22(14): 5196 (2022) - 2021
- [j1]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods. Inf. Fusion 75: 55-69 (2021) - [c1]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Face Spoof Detection: An Experimental Framework. EANN 2021: 293-304
Coauthor Index
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