40 citations · 41 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
Jue Jiang, Jun Hong, Kathryn Tringale +4
Method: ProRSeg was trained using 5-fold cross-validation with 110 T2-weighted MRI acquired at 5 treatment fractions from 10 different patients, taking care that same patient scans…
eess.IV2022★ 40 cited
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
Jue Jiang, Neelam Tyagi, Kathryn Tringale +2
Vision transformers, with their ability to more efficiently model long-range context, have demonstrated impressive accuracy gains in several computer vision and medical image analy…