🎓 M.Sc. in Computer Science | Chongqing University, China
🧠 Medical Imaging • Low-Dose CT • Diffusion Models • GANs • Computational Imaging

I am a computer vision and medical imaging researcher passionate about building AI-driven solutions that enhance diagnostic accuracy, reduce radiation dose, and improve healthcare accessibility.
My work primarily focuses on:

• Low-Dose CT Reconstruction
• Diffusion Models & GANs
• Retinal Vessel Segmentation
• Physics-Guided Deep Learning
• Contrastive Learning for Medical Imaging

I have authored and co-authored multiple papers, including one accepted at PRCV 2025, and several journal and conference submissions to IEEE TMI, CVPR, PeerJ Computer Science, and BIBM.

• GeGLUNet: Retinal vessel segmentation using Attention-Gated GeGLU and contrastive supervision (PRCV 2025, Accepted)
• Dose-Aware Cold Diffusion (DCD): Physics-consistent diffusion model for generalizable low-dose CT reconstruction (IEEE TMI, Under Review)
• LightGAN-LD: Lightweight GAN for efficient low-dose CT reconstruction with sinogram encoding and edge-aware learning (PeerJ Computer Science, Under Review)
• MTF-Net: Multi-modal temporal feature fusion network for pedestrian intention prediction (CVPR 2026, Under Review)
• LightGAN-LD: Lightweight GAN framework for high-fidelity low-dose CT reconstruction (BIBM Workshop 2025, Under Review)
• Geometry and Dose-Aware Diffusion: Generalizable CT reconstruction across geometries & dose (Scientific Reports, Nature Portfolio, Preparing)
• Bayesian Diffusion with Differentiable Radon Priors: Bayesian diffusion models for low-dose CT reconstruction (Results in Engineering, Preparing)

Programming: Python, NumPy, Pandas, OpenCV
Deep Learning: PyTorch, TensorFlow
Research: Medical Imaging, GANs, Diffusion Models, Image Reconstruction
Tools: Git, GitHub, Jupyter Notebooks, LaTeX
Others: Data Visualization, Image Processing

I regularly share insights on AI, deep learning, and medical imaging.
📚 Blog: https://medium.com/@imamahasan

Featured articles:

• Understanding GANs for Medical Image Processing
• Low-Dose CT Denoising with AI
• Physics-Guided Diffusion Models in Imaging

• LinkedIn: https://www.linkedin.com/in/imamahasane
• GitHub: https://github.com/imamahasane
• Medium: https://medium.com/@imamahasan
• HackerRank: https://www.hackerrank.com/profile/imamahasan
• Email: emamahasane@gmail.com

• 🏸 I enjoy badminton, running, and photography.
• 🌱 I believe AI can transform global healthcare accessibility.
• 🔍 Currently preparing for my PhD in medical imaging & generative AI.