most citedUnsupervised brain lesion segmentation from MRI using a convolutional autoencoder

46 citations · 46 across the 1 of their papers we have counts for

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1 paper

eess.IV2018★ 46 cited

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder

Hans E. Atlason, Askell Love, Sigurdur Sigurdsson +2

Lesions that appear hyperintense in both Fluid Attenuated Inversion Recovery (FLAIR) and T2-weighted magnetic resonance images (MRIs) of the human brain are common in the brains of…