Publications
Research on medical imaging, computer vision, and explainable AI, mostly self-supervised and federated learning applied to diagnostic classification. Full list on Google Scholar.
- Citations
- 29
- h-index
- 3
- i10-index
- 1
Submitted / under review
Hi-TGNet: Hierarchical Tumor Guidance Network for Explainable Brain Tumor Classification
Scientific Reports (Nature): revision submitted · Undergraduate thesis
HybridMAE-Net: Lightweight Skin Lesion Classification with MAE-Inspired Auxiliary Masked Reconstruction
IEEE Access: under review
MIME: (Multi-Strategy) Imbalance Mitigation Engine for Skin Cancer Classification
TCCE 2025 (Springer), UTeM, Malaysia: accepted
Journal articles
T3SSLNet: Triple-method self-supervised learning for enhanced brain tumor classification in MRI
IEEE Access, vol. 13, pp. 127852–127867 · 2025 · 10 citations
KbFL-XAI: Explainable knowledge-based federated learning for eye disease diagnosis
Biomedical Engineering Advances, Elsevier · 2025 · 7 citations
Healthcare Technology Letters, IET & Wiley, vol. 13(1), e70067 · 2026 · 1 citations
Ethic-BERT: An Enhanced Deep Learning Model for Ethical and Non-Ethical Content Classification
arXiv:2510.12850 · 2025 · 0 citations
Dataset
Curated multi-class tumor MRI collection (gliomas, meningiomas, pituitary tumors, healthy controls): IEEE DataPort · 2024 · 9 citations
Conference proceedings
VisionOcular: Transfer Learning with Self-Attention for Multi-Class Ocular Diagnosis
ICQPAI · 2025 · 1 citations
SSChNet: Self Supervised Learning based pre-trained network for Child Speech Recognition
NCIM · 2025 · 1 citations
Towards Decentralized Brain Tumor Classification Using Federated Learning with Explainable AI
ICCIT · 2025 · 0 citations
ICCIT · 2025 · 0 citations
VARENet: Variance-Aware Residual Enhancement Network for Microscopic Fungal Classification
IEEE ICBME · 2025 · 0 citations