1 citations · 1 across the 5 of their papers we have counts for
5 papers
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
Yi Gu, Yoshito Otake, Keisuke Uemura +6
Radiography is widely used in orthopedics for its affordability and low radiation exposure. 3D reconstruction from a single radiograph, so-called 2D-3D reconstruction, offers the p…
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…
A foundation for exact binarized morphological neural networks
Theodore Aouad, Hugues Talbot
Training and running deep neural networks (NNs) often demands a lot of computation and energy-intensive specialized hardware (e.g. GPU, TPU...). One way to reduce the computation a…
On the detection of Out-Of-Distribution samples in Multiple Instance Learning
Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis +2
The deployment of machine learning solutions in real-world scenarios often involves addressing the challenge of out-of-distribution (OOD) detection. While significant efforts have…
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…