most citedSimultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2019★ 12 cited

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…