MIC-HACK 2026
Cardiff Medical Image Computing Hackathon

Outputs from Previous Years

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🔬 microTorch

A team led by Snigdha Sen developed microTorch, a new open-source framework for microstructure imaging that leverages the computational power of modern GPUs. The project has since progressed into a final repository repository.

📊 Realistic Noise Synthesis for Medical Imaging AI

A team led by Bradley Karat and Maëliss Jallais developed a novel approach for realistic noise synthesis and demonstrated its importance in reducing bias and improving precision in supervised medical image inference tasks. The work is now available as a preprint.

📱 NIfTI Viewer

A team led by Joshua Mawuli Ametepe created NIfTI Viewer, a smartphone application that enables direct visualisation of NIfTI files on phones and tablets. The app also supports on-device quantitative analyses, including Diffusion Tensor Imaging (DTI). Watch Joshua’s demo here.

🩺 AI-Assisted Labelling of Pathology Reports

A team led by Thomas Greatrix developed a new approach for automatically labelling pathology reports using ensembles of large language models. The work progressed into a peer-reviewed conference publication at the 2025 International Conference on Artificial Intelligence in Healthcare.

💗 Pulsatile Motion in Ultra-Low-Field Diffusion MRI

A team led by James Gholam investigated the impact of pulsatile motion on ultra-low-field diffusion-weighted MRI, demonstrating the importance of accounting for physiological motion in this emerging imaging modality. The work was presented at the 2026 ISMRM Annual Meeting. Chek it out here.