Background and aims Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Rationale and objectives We evaluate the automatic identification of type 2 diabetes from
neck-to-knee, two-point Dixon MRI scans with 3D convolutional neural networks on a large …

Background Computed tomography (CT) is an imaging modality commonly used for studies
of internal body structures and very useful for detailed studies of body composition. The aim …

Background and aims: Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Obesity is associated with an increased risk of morbidity and mortality. Achieving a healthy
body composition, which involves maintaining a balance between fat and muscle mass, is …

Early and accurate prediction of clinical outcomes holds great potential for patient
prognostics and personalized treatment planning. Development of automated methods for …

Tobias Haueise1,2,3, Fritz Schick1,2,3, Jürgen Machann1,2,3 Page 1 Towards Fast Estimation
of Adipose Tissue Volumes from Whole-Body MRI Tobias Haueise1,2,3, Fritz Schick1,2,3 …