ATLAS: Automated Tissue and Lesions Analysis System

Research internship on automated segmentation pipelines for lesioned brain MRI.

Overview

During a six-week research internship (summer 2024) at the Medical Imaging Research Center (MIRC), KU Leuven, I worked on automated parcellation of lesioned brain images.

Context

  • Institution: Medical Imaging Research Center (MIRC), KU Leuven
  • Supervisors: Prof. Frederik Maes and Dr. Ahmed Radwan
  • Domain: Clinical MRI analysis and segmentation

Contribution

I contributed to the implementation and evaluation of segmentation pipelines for magnetic resonance imaging (MRI) data, with a focus on robust methodology development and testing on clinical imaging datasets.

Outcome

The work supported ongoing research outputs, including manuscript preparation with collaborators.

Focus Areas

  • Medical image segmentation
  • MRI pipeline implementation and evaluation
  • Reproducible methodology for clinical imaging data