Maryam Fallahpoor

Research Projects

• Liver tumour segmentation from MR-Linac active

  This project focuses on liver tumor segmentation from magnetic resonance imaging (MRI), with a particular emphasis on the application of MR-Linac imaging data for clinically relevant treatment planning. The aim of this work is to develop robust and accurate deep learning–based segmentation approaches capable of delineating liver tumors in MR-guided radiotherapy settings, where challenges such as low soft-tissue contrast variability, motion artifacts, and anatomical deformation are common. By leveraging MR-Linac data, the research seeks to support adaptive radiotherapy workflows and improve the precision of radiation treatment delivery through reliable tumor localization and contouring in real-time or near real-time clinical environments.