1 citations · 2 across the 2 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2022★ 1 cited
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
Boyeong Woo, Craig Engstrom, William Baresic +3
In medical image analysis, automated segmentation of multi-component anatomical structures, which often have a spectrum of potential anomalies and pathologies, is a challenging tas…
eess.IV2021★ 1 cited
Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from 3D magnetic resonance images
Jessica M. Bugeja, Ying Xia, Shekhar S. Chandra +7
Femoroacetabular impingement (FAI) cam morphology is routinely assessed using two-dimensional alpha angles which do not provide specific data on cam size characteristics. The purpo…