research
∙
05/01/2023
Towards a Phenomenological Understanding of Neural Networks: Data
A theory of neural networks (NNs) built upon collective variables would ...
share
research
∙
08/05/2020
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
Purpose: To enable fast and reliable assessment of subcutaneous and visc...
research
∙
09/17/2018
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Motion artifacts are a primary source of magnetic resonance (MR) image q...
research
∙
06/25/2018
A Machine-learning framework for automatic reference-free quality assessment in MRI
Magnetic resonance (MR) imaging offers a wide variety of imaging techniq...
research
∙
06/17/2018
