Yoshinobu Sato | DeepAI

AI Chat

Featured Co-authors

Daniel Rueckert
199 publications
Jerry L. Prince
30 publications
Yi Gu
21 publications
Yoshito Otake
19 publications
Marius George Linguraru
11 publications
Masaki Takao
10 publications
Nobuhiko Sugano
10 publications
Ata Jodeiri
9 publications
Miguel Ángel González Ballester
9 publications
Hugues Talbot
8 publications
Yuta Hiasa
6 publications

∙ 07/26/2023

Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities

Purpose: Obtaining manual annotations to train deep learning (DL) models...

0 Ganping Li, et al. ∙

∙ 07/21/2023

Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography

Osteoporosis is a prevalent bone disease that causes fractures in fragil...

0 Yi Gu, et al. ∙

∙ 05/31/2023

MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume

Musculoskeletal diseases such as sarcopenia and osteoporosis are major o...

0 Yi Gu, et al. ∙

∙ 07/07/2022

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

We propose a method for estimating the bone mineral density (BMD) from a...

0 Yi Gu, et al. ∙

∙ 12/21/2020

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Purpose: To apply a convolutional neural network (CNN) to develop a syst...

5 Keisuke Uemura, et al. ∙

∙ 10/29/2019

Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph

With the increasing usage of radiograph images as a most common medical ...

0 Ata Jodeiri, et al. ∙

∙ 10/26/2019

Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study

Alignment of the bones in standing position provides useful information ...

0 Ata Jodeiri, et al. ∙

∙ 07/21/2019

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model

We propose a method for automatic segmentation of individual muscles fro...

3 Yuta Hiasa, et al. ∙

∙ 06/27/2019

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction

In total hip arthroplasty, analysis of postoperative medical images is i...

2 Mitsuki Sakamoto, et al. ∙

∙ 12/20/2018

Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review

The medical image analysis field has traditionally been focused on the d...

6 Juan J. Cerrolaza, et al. ∙

∙ 09/06/2018

Dynamic Block Matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences - Association with coronary arte

Purpose: The motion of the common carotid artery tissue layers along the...

0 Guillaume Zahnd, et al. ∙

∙ 03/18/2018

Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size

CT is commonly used in orthopedic procedures. MRI is used along with CT ...

0 Yuta Hiasa, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world