Moritz Jokeit

Moritz Jokeit is a Ph.D. candidate at the Institute for Biomechanics of the ETH Zurich. He studied Civil Engineering and Computational Mechanics at the Technical University of Munich (TUM) and the Polytechnic University of Catalunya (UPC). After the completion of his master’s degree in 2020, he co-authored a book about deep learning in computational mechanics. In early 2021 Moritz joined the spine biomechanics group where he pursues his research towards the development of patient-specific biomechanical models and machine-learning-based approaches in medical imaging.


  • Balzer, I., Mühlemann, M., Jokeit, M., Rawal, I.S., Snedeker, J.G., Farshad, M., Widmer, J., 2022. A deep learning pipeline for automatized assessment of spinal MRI. Computer Methods and Programs in Biomedicine Update 2, 100081.
  • Fasser, M.-R., Jokeit, M., Kalthoff, M., Gomez Romero, D.A., Trache, T., Snedeker, J.G., Farshad, M., Widmer, J., 2021. Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine. Frontiers in Bioengineering and Biotechnology 9.
  • Jokeit, M., Kim, J.H., Snedeker, J.G., Farshad, M., Widmer, J., 2022. Mesh-based 3D Reconstruction from Bi-planar Radiographs. Presented at the Medical Imaging with Deep Learning.