Search Results for author: Sophie Starck

Found 7 papers, 2 papers with code

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression

1 code implementation26 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.

Age Estimation Graph Attention +1

Constructing Population-Specific Atlases from Whole Body MRI: Application to the UKBB

no code implementations28 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.

Atlas-Based Interpretable Age Prediction In Whole-Body MR Images

no code implementations14 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.

Body Fat Estimation from Surface Meshes using Graph Neural Networks

no code implementations13 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.

Extended Graph Assessment Metrics for Graph Neural Networks

no code implementations13 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.

regression

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