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Featured Co-authors

Jerry L. Prince
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∙ 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. ∙

∙ 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. ∙

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