5 papers
Physics-Embedded Feature Learning for AI in Medical Imaging
Pulock Das, Al Amin, Kamrul Hasan +3
Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, yet most existing approaches operate as black boxes and ignore the physical proces…
Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
Al Amin, Kamrul Hasan, Liang Hong +1
Collaborative machine learning across healthcare institutions promises improved diagnostic accuracy by leveraging diverse datasets, yet privacy regulations such as HIPAA prohibit d…
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
Al Amin, Kamrul Hasan, Sharif Ullah +1
In the era of data-driven decision-making, ensuring the privacy and security of shared data is paramount across various domains. Applying existing deep neural networks (DNNs) to en…
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
Al Amin, Kamrul Hasan, Sharif Ullah +1
Privacy-preserving and secure data sharing are critical for medical image analysis while maintaining accuracy and minimizing computational overhead are also crucial. Applying exist…
Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4
Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic d…