Faseela Abdullakutty

According to our database, Faseela Abdullakutty authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Denoising diffusion probabilistic model as a GAN generator for breast cancer histology images segmentation.

Younes Akbari, Faseela Abdullakutty, Omar Elharrouss, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

Neural Comput. Appl., March, 2026

Integrating histopathology and genomic data: a comparative study of fusion methods for breast cancer survival prediction.

Younes Akbari, Faseela Abdullakutty, Somaya Ali Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

Complex Intell. Syst., 2026

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection.

Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Rafif Al-Saady, Ahmed Bouridane, Rifat Hamoudi

Comput. Medical Imaging Graph., 2026

Dynamic model scaling based on segmented tumor size for breast cancer detection.

Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

Biomed. Signal Process. Control., 2026

Attention-enhanced Mixture of Experts for multimodal breast cancer detection.

Faseela Abdullakutty, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Rafif Al-Saady, Hadi Mohamad Abu Rasheed

Biomed. Signal Process. Control., 2026

2025

Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation.

Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

Cogn. Comput., June, 2025

Beyond Static Fusion: A Mixture-of-Experts Framework for Multimodal Breast Cancer Classification.

Faseela Abdullakutty, Younes Akbari, Somaya Ali Al-Máadeed, Rafif Al-Saady, Hadi Mohamad Abu Rasheed

Proceedings of the Fourteenth International Conference on Image Processing, 2025

Multi-Layer Deep Feature Ensemble for Multiclass Fruit and Vegetable Freshness Classification.

Ahmed Abdulhakim Zaid Baker AlSalahi, Sumaya Ali S. A. Al-Máadeed, Faseela Abdullakutty

Proceedings of the 13th European Workshop on Visual Information Processing, 2025

2024

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability.

Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi

CoRR, 2024

Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis.

Faseela Abdullakutty, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis.

Faseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem

Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024

Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification.

Faseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Fusion Methods for Face Presentation Attack Detection.

Faseela Abdullakutty, Pamela Johnston, Eyad Elyan

Sensors, 2022

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston, Adamu Ali-Gombe

Cogn. Comput., 2022

2021

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Inf. Fusion, 2021

Face Spoof Detection: An Experimental Framework.

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021