Additional file 1: of Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images

Hasenstab, Kyle; Cunha, Guilherme; Higaki, Atsushi; Ichikawa, Shintaro; Wang, Kang; Delgado, Timo; Brunsing, Ryan; Schlein, Alexandra; Bittencourt, Leornado; Schwartzman, Armin; Fowler, Katie; Hsiao, Albert; Sirlin, Claude

doi:10.6084/m9.figshare.10057796.v1

41747_2019_120_MOESM1_ESM.docx (10.14 MB)

Additional file 1: of Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images

journal contribution

posted on 2019-10-27, 06:37 authored by Kyle Hasenstab, Guilherme Cunha, Atsushi Higaki, Shintaro Ichikawa, Kang Wang, Timo Delgado, Ryan Brunsing, Alexandra Schlein, Leornado Bittencourt, Armin Schwartzman, Katie Fowler, Albert Hsiao, Claude Sirlin

S1. Fully-automated affine registration algorithm. S2. Reader confidence study for qualitative image similarity assessment. Table S1. Paired comparisons for the small-scale reader substudy. Figure S1. Reader confidence scores for qualitative image similarity assessment. (DOCX 10388 kb)