1 code implementation • 3 Nov 2023 • Emma A. M. Stanley, Raissa Souza, Anthony Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
In this article, we introduce a novel analysis framework for systematically and objectively investigating the impact of biases in medical images on AI models.
no code implementations • 26 Nov 2020 • Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
Brain aging is a widely studied longitudinal process throughout which the brain undergoes considerable morphological changes and various machine learning approaches have been proposed to analyze it.
no code implementations • 5 Dec 2017 • Andre Mastmeyer, Matthias Wilms, Heinz Handels
Virtual reality (VR) training simulators of liver needle insertion in the hepatic area of breathing virtual patients currently need 4D data acquisitions as a prerequisite.
no code implementations • 26 Jul 2017 • Andre Mastmeyer, Matthias Wilms, Heinz Handels
Then the methodology shown here allows the transfer of existing reference respiratory motion models of a 4D reference patient to a new static 3D patient.