Christian Hinge

Graduate Student Mathematical Modelling @ DTU   |   Research Assistent @ CAAI, Rigshospitalet


As a master’s student in mathematical modeling and computation at the Technical University of Denmark, I am passionate about using cutting-edge technologies to solve real-world problems. My current work at the Clinically Applied Artificial Intelligence section at Rigshospitalet, Denmark involves the application of deep learning methods to assist clinicians in medical imaging routines. My interests lie in the areas of unsupervised deep learning, multimodal representation learning, model predictive control and medical imaging, including whole-body PET/CT and brain PET/MRI. I am particularly interested in the development of digital twins for personalized treatment and assessment of patients.

I am excited to be at the forefront of developing new technologies and techniques to improve patient care and optimize clinical workflow. Through my work, I hope to contribute to the advancement of medical imaging and AI-assisted diagnosis, making healthcare more efficient and effective for patients. My ultimate goal is to make a positive impact on society by developing innovative solutions that will benefit patients and clinicians alike.


Nov 24, 2022 Our paper on personalized analysis of FDG-PET has been published.


    1. A zero-dose synthetic baseline for the personalized analysis of [18F]FDG-PET: Application in Alzheimer’s disease
      Christian Hinge, Otto Mølby Henriksen, Ulrich Lindberg, and 5 more authors
      Frontiers in Neuroscience, Dec 2022