12 citations · 19 across the 4 of their papers we have counts for
4 papers
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph
Richard McKinley, Christian Rummel
The thickness of the cortical band is linked to various neurological and psychiatric conditions, and is often estimated through surface-based methods such as Freesurfer in MRI stud…
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
Richard McKinley, Lorenz Grunder, Rik Wepfer +12
The detection of new or enlarged white-matter lesions in multiple sclerosis is a vital task in the monitoring of patients undergoing disease-modifying treatment for multiple sclero…
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks
Richard McKinley, Michael Rebsamen, Raphael Meier +3
In applications of supervised learning applied to medical image segmentation, the need for large amounts of labeled data typically goes unquestioned. In particular, in the case of…
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Richard McKinley, Rik Wepfer, Fabian Aschwanden +10
Segmentation of white matter lesions and deep grey matter structures is an important task in the quantification of magnetic resonance imaging in multiple sclerosis. In this paper w…