1.3k citations · 1.6k across the 14 of their papers we have counts for
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eess.IV2018★ 7 cited
Autoencoders for Multi-Label Prostate MR Segmentation
Ard de Gelder, Henkjan Huisman
Organ image segmentation can be improved by implementing prior knowledge about the anatomy. One way of doing this is by training an autoencoder to learn a lowdimensional representa…
cs.CV2018★ 11 cited
Automatic segmentation of prostate zones
Germonda Mooij, Ines Bagulho, Henkjan Huisman
Convolutional networks have become state-of-the-art techniques for automatic medical image analysis, with the U-net architecture being the most popular at this moment. In this arti…