1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs
Masachika Masuda, Mazen Soufi, Yoshito Otake +9
Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal stage. The severity of hip OA…
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Yi Gu, Yoshito Otake, Keisuke Uemura +6
Osteoporosis is a prevalent bone disease that causes fractures in fragile bones, leading to a decline in daily living activities. Dual-energy X-ray absorptiometry (DXA) and quantit…
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Ganping Li, Yoshito Otake, Mazen Soufi +7
Purpose: Manual annotations for training deep learning (DL) models in auto-segmentation are time-intensive. This study introduces a hybrid representation-enhanced sampling strategy…
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume
Yi Gu, Yoshito Otake, Keisuke Uemura +7
Musculoskeletal diseases such as sarcopenia and osteoporosis are major obstacles to health during aging. Although dual-energy X-ray absorptiometry (DXA) and computed tomography (CT…