Working Student (Data Science, Medical Image Processing)

Your mission

ImFusion's machine learning models are powering many medical imaging applications. Automatic segmentation of anatomical structures enables clinicians to easily plan and safely execute interventional procedures.

We are looking for a motivated and talented working student to join our Anatomy Plugins group. Our goal is to achieve high-quality automatic segmentation of various anatomical structures (spine, head, heart, ...), which requires large and high-quality datasets. We also need to be able to evaluate the quality of machine-learning models and have robust evaluation pipelines to measure progress.

The working student will focus on the following tasks:

• Curate and improve datasets from publicly available sources and in-house data using data science and our state-of-the-art software tools.
• Create automated and semi-automated reports on the quality of the data and model predictions.
• Define Python-based workflows to analy...