activity
20222024
most citedAutomatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2024

Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image

Yi Gu, Yoshito Otake, Keisuke Uemura +6

While most vision tasks are essentially visual in nature (for recognition), some important tasks, especially in the medical field, also require quantitative analysis (for quantific…

eess.IV20231 cited

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…

eess.IV2023

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…

eess.IV2022

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Yi Gu, Yoshito Otake, Keisuke Uemura +4

We propose a method for estimating the bone mineral density (BMD) from a plain x-ray image. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT) provid…