Deep Learning Research & Implementation Repository

🎯 About This Repository

Welcome to my deep-learning research repository! Here, I'm open-sourcing implementations from my published research work to support the broader AI/ML community. The repository currently focuses on medical imaging and computer vision, featuring state-of-the-art classification algorithms and practical implementations.

📚 Research Projects

1. COVID-19 Classification from X-ray Images

Published in Expert Systems (DOI: 10.1111/exsy.12919)

• Deep feature extraction for COVID-19 diagnosis
• Computer-aided diagnosis system
• Performance analysis and validation
• Implementation details and usage guidelines

2. Early Alzheimer's Disease Diagnosis

Published in IEEE Access (DOI: 10.1109/ACCESS.2024.3418508)

• 18F-FDG PET image analysis
• Soften latent representation technique
• Model architecture and implementation
• Validation results and comparisons

3. Vision Transformer Analysis

• Comprehensive comparison of transformer architectures
• Technical implementation details
• Performance benchmarks

🔬 Research Interest

Computer Vision

• Classification
• Image segmentation
• Object detection
• Depth estimation

Hardware Integration

• Practical solutions combining software and hardware
• Optimization for embedded systems
• Real-world deployment strategies

🤝 Research Collaboration

I welcome collaboration opportunities in:

• Medical imaging analysis
• Computer vision applications
• Deep learning architecture design
• Hardware-software integration for practical applications Computer Vision
• Performance optimization

📫 Contact

For research collaboration or questions:

• Email me at [email protected]
• Connect on Linkedin

📚 Citations

If you use this code in your research, please cite our papers:

@article{aziz2022computer,
  title={Computer-aided diagnosis of COVID-19 disease from chest x-ray images integrating deep feature extraction},
  author={Aziz, Sumair and Khan, Muhammad Umar and Rehman, Abdul and Tariq, Zain and Iqtidar, Khushbakht},
  journal={Expert Systems},
  volume={39},
  number={5},
  pages={e12919},
  year={2022},
  publisher={Wiley Online Library}
}

@ARTICLE{10570178,
  author={Rehman, Abdul and Yi, Myung-Kyu and Majeed, Abdul and Hwang, Seong Oun},
  journal={IEEE Access}, 
  title={Early Diagnosis of Alzheimer’s Disease Using 18F-FDG PET With Soften Latent Representation}, 
  year={2024},
  volume={12},
  number={},
  pages={87923-87933},
  keywords={Feature extraction;Accuracy;Convolutional neural networks;Positron emission tomography;Brain modeling;Transformers;Alzheimer's disease;Deep learning;18F-FDG PET;Alzheimer’s disease;deep learning;global feature representation;local feature representation;MobileViT},
  doi={10.1109/ACCESS.2024.3418508}}

Thank you for visiting! Star this repository if you find it useful, and check back regularly for updates!