Yuta Hiasa

Orcid: 0000-0001-8799-4914

According to our database1, Yuta Hiasa authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2020
Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction.
J. Signal Process. Syst., 2020

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling.
IEEE Trans. Medical Imaging, 2020

Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework.
Comput. Methods Programs Biomed., 2020

2019
Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model.
Medical Image Anal., 2019

Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph.
CoRR, 2019

Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study.
CoRR, 2019

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model.
CoRR, 2019

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction.
CoRR, 2019

2018
Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size.
CoRR, 2018

Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018


  Loading...