Paper accepted in ISBI 2021

Our paper entitled “InvNet: A Deep Learning Approach to Invert Complex Deformation Fields”, by Marek Wodzinski and Henning Müller, has been accepted for presentation at ISBI 2021, the IEEE International Symposium on Biomedical Imaging to be held virtually on April 13-16, 2021.

Visualization of the results of the proposed deep learning-based algorithm for inverting complex, nonrigid deformation fields based on a modified U-Net architecture and the symmetric inverse consistency