| Project | Description | Tech | Link |
|---|---|---|---|
| 🧠 Deep Learning MRI Reconstruction | U-Net encoder-decoder for accelerated MRI reconstruction — SSIM 0.718→0.766, PSNR 28.4→30.99 dB | Python, TensorFlow, Keras, fastMRI | GitHub |
| 📈 MRI Pulse Sequence Development | Designed scanner-ready GRE pulse sequence — k-space trajectory, hardware validation, image reconstruction via FFT | Python, PyPulseq, NumPy | GitHub |
| ⚙️ Pulseq .seq File Parser | Reads scanner .seq files back — block timeline, RF/gradient/ADC libraries, 5 validation checks; C++ and Python verified identical |
C++17, Python, Make | GitHub |
| 🔬 Deep Learning Classifier | Neural network for MRI tissue classification (97% accuracy) | Python, TensorFlow, Keras | GitHub |
| 📡 3T MRI RF Coil Simulation | Electromagnetic simulation of 3T surface coil — S11 = −34.27 dB, B1+/B1− field maps, SAR10g analysis, current density (95 A/m) | CST Studio Suite, MATLAB, LaTeX | GitHub |
| 🏥 hazen Contribution | Bug fix PR merged into NHS MRI QA tool | Python, Git | PR #516 |
| 🌐 MRI Web App | Live interactive MRI brain analysis tool | Python, Streamlit | GitHub · 🌍 Live Demo |
Earlier foundational work: MRI brain viewer · tissue segmentation · quantitative analysis and reporting