Muhammad Ayoub

Orcid: 0009-0007-2464-1207

According to our database1, Muhammad Ayoub authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model.
Expert Syst. J. Knowl. Eng., May, 2025

NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images.
Neurocomputing, 2025

AI-driven social media text analysis during crisis: A review for natural disasters and pandemics.
Appl. Soft Comput., 2025

Re-Thinking the Nature of Planning for Safe and Personalized Treatment Management Planning Using Large Language Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Region-Wise MRI Analysis Reveals Posterior Parietal Atrophy as an Early Dementia Biomarker and Highlights Nonlinear Progression Across Cognitive Stages.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis.
Proceedings of the Advances in Computer Graphics, 2024

2023
The synergy of cybernetical intelligence with medical image analysis for deep medicine: A methodological perspective.
Comput. Methods Programs Biomed., October, 2023

HViT: Hybrid vision inspired transformer for the assessment of carotid artery plaque by addressing the cross-modality domain adaptation problem in MRI.
Comput. Medical Imaging Graph., October, 2023

End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography.
Comput. Medical Imaging Graph., October, 2023

Brain image segmentation of the corpus callosum by combining Bi-Directional Convolutional LSTM and U-Net using multi-slice CT and MRI.
Comput. Methods Programs Biomed., August, 2023

2022
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response.
Expert Syst. Appl., 2022

Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach.
Expert Syst. Appl., 2022


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