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Sobia Khan

Research Topic: Machine Learning in Magnetic Resonance Imaging of the Spinal Cord and Brachial Plexus.

Supervisors: Dr Nishant Ravikumar, Ms Grainne Bourke, Dr Irvin Teh, Dr Ryckie Wade.

About Sobia: I hold a bachelor's degree in Software Engineering from The University of Huddersfield in 2019. I then continued to work as a Software Developer for about three years in the industry before deciding to join CDT program at The University of Leeds. Currently undertaking master's year of the CDT program.

Project Description: This project aims to leverage artificial intelligence (AI) techniques to streamline the segmentation and registration processes of diffusion-weighted MRI data. By employing AI algorithms, the project seeks to develop a clinically oriented approach for joint segmentation and registration of the brachial plexus, facilitating rapid microstructural modelling for clinical reporting. The ultimate goal is to enhance early diagnosis, treatment planning, and patient management for individuals with brachial plexus injuries, leading to improved functional outcomes and quality of life. Moreover, the project's potential impact extends beyond the health sector, with the possibility of industry partnerships to integrate AI-driven methods into MRI systems for enhanced clinical workflows and patient care.