no code implementations • 25 Mar 2024 • Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin Menten, Tamara Mueller, Daniel Rueckert
Anatomical atlases are widely used for population analysis.
1 code implementation • 26 Sep 2023 • Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
We conclude that static graph construction approaches are potentially insufficient for the task of brain age estimation and make recommendations for alternative research directions.
no code implementations • 28 Aug 2023 • Sophie Starck, Vasiliki Sideri-Lampretsa, Jessica J. M. Ritter, Veronika A. Zimmer, Rickmer Braren, Tamara T. Mueller, Daniel Rueckert
We demonstrate different applications of these atlases, using the differences between subjects with medical conditions such as diabetes and cardiovascular diseases and healthy subjects from the atlas space.
1 code implementation • 9 Aug 2023 • Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
In a qualitative analysis, we demonstrate that our learned ECG embeddings incorporate information from CMR image regions of interest.
no code implementations • 14 Jul 2023 • Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara Mueller
We utilise the Grad-CAM interpretability method to determine the body areas most predictive of a person's age.
no code implementations • 13 Jul 2023 • Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Body fat volume and distribution can be a strong indication for a person's overall health and the risk for developing diseases like type 2 diabetes and cardiovascular diseases.
no code implementations • 13 Jul 2023 • Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
In this work, we introduce extended graph assessment metrics (GAMs) for regression tasks and continuous adjacency matrices.