Xiaoyang Li

Raysemble splits single-view bone reconstruction into shape and placement: it predicts each bone's shape on a normalized grid, then uses predicted depth and camera geometry to fix its center and scale in millimeters. On simulated frontal radiographs from 43 CT scans of 23 held-out patients, it averages 65.24% Dice, 9.09 mm HD95 and 3.32 mm ASSD before rigid alignment, leading 15 configurations; with identical inputs it beats VolumeNeRF by 5.86 Dice points.

Raysemble splits single-view bone reconstruction into shape and placement: it predicts each bone's shape on a normalized grid, then uses predicted depth and camera geometry to fix its center and scale in millimeters. On simulated frontal radiographs from 43 CT scans of 23 held-out patients, it averages 65.24% Dice, 9.09 mm HD95 and 3.32 mm ASSD before rigid alignment, leading 15 configurations; with identical inputs it beats VolumeNeRF by 5.86 Dice points.