most citedLearning Disentangled Representations in the Imaging Domain

100 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CV2021★ 100 cited

Learning Disentangled Representations in the Imaging Domain

Xiao Liu, Pedro Sanchez, Spyridon Thermos +2

Disentangled representation learning has been proposed as an approach to learning general representations even in the absence of, or with limited, supervision. A good general repre…

cs.CV2018★ 3 cited

Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data

Alison Q O'Neil, Antanas Kascenas, Joseph Henry +8

We present an efficient neural network method for locating anatomical landmarks in 3D medical CT scans, using atlas location autocontext in order to learn long-range spatial contex…