Skip to content
View imamahasane's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report imamahasane

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
imamahasane/README.md

Md Imam Ahasan - Computer Science Student

Hello! I'm Md Imam Ahasan, a master's student in Computer Science at Chongqing University, specializing in Generative Adversarial Networks (GANs) for medical image reconstruction. My research focuses on enhancing low-dose CT and MRI scans to boost diagnostic accuracy and solve real-world healthcare challenges using AI and deep learning. I’m passionate about bridging the gap between innovative technology and human well-being.


🚀 Key Skills

Here’s a snapshot of my technical expertise:

  • Programming: Python, NumPy, OpenCV, Matplotlib
  • ML Frameworks: TensorFlow, PyTorch
  • Technologies: GANs, Machine Learning, Deep Learning, Medical Imaging
  • Tools: Git, GitHub, Jupyter Notebooks

📌 Pinned Repositories

coming soon ....


🌟 Projects

Check out some of my key projects on GitHub:

1. GANs Framework for Low-Dose Medical Image Reconstruction (In Progress)

  • Description: Developing a GAN-based model to reconstruct high-quality medical images from low-resolution inputs, improving diagnostic accuracy.
  • Dataset: LoDoPaB-CT
  • Impact: Enhances image clarity and reduces noise, aiding radiologists in better decision-making.
  • Tech Stack: PyTorch, TensorFlow, OpenCV
  • Repo: GitHub Repository

📚 Blog

Stay updated with my latest insights and research work on my blog:
📖 My Blog - Covering AI, ML, and medical imaging research.

Check out some of my featured articles:
"Understanding GANs for Medical Image Processing" - Read Here
"Low-Dose CT Image Denoising with AI" - Read Here


🌐 Connect with Me

Let’s collaborate or chat about AI, machine learning, or anything tech-related! Reach me through:


🎨 Personal Touch

  • Fun Fact: I love playing badminton, running, and exploring new challenges both in life and in code!
  • Inspiration: The potential of AI to revolutionize healthcare drives me. Every line of code I write brings us closer to making medical diagnostics more accessible and accurate.

🙌 Let's Build Something Amazing Together!

Feel free to explore my repositories, connect with me, or drop me a message. I’m always open to exciting opportunities, collaborations, or just sharing knowledge. Let’s innovate and make a difference!


GitHub streak stats


Pinned Loading

  1. LightGAN-LD LightGAN-LD Public

    End-to-end reproducible LightGAN-LD: a PyTorch framework for low-dose CT denoising and reconstruction.

    Jupyter Notebook 1