Li-Yueh Hsu

Orcid: 0000-0002-0826-7290

According to our database1, Li-Yueh Hsu authored at least 22 papers between 1999 and 2022.

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

Timeline

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Bibliography

2022
Real-time echocardiography image analysis and quantification of cardiac indices.
Medical Image Anal., 2022

DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation.
Frontiers Artif. Intell., 2022

2021
Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance.
IEEE Access, 2021

2020
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset.
Comput. Biol. Medicine, 2020

Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography.
IEEE Access, 2020

Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2016
Comparison of lossless video and image compression codecs for medical computed tomography datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Quantitative assessment of myocardial fibrosis in an age-related rat model by ex vivo late gadolinium enhancement magnetic resonance imaging with histopathological correlation.
Comput. Biol. Medicine, 2015

Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic nonrigid motion correction for quantitative first-pass cardiac MR perfusion imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013
Textural analysis of diffuse myocardial fibrosis in aging rats: A late gadolinium enhancement magnetic resonance imaging study.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
Simultaneous detection of landmarks and key-frame in cardiac perfusion MRI using a joint spatial-temporal context model.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

2008
Correcting surface coil intensity inhomogeneity improves quantitative analysis of cardiac magnetic resonance images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2004
Enhancement of lung nodule detection in temporal thoracic CT.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
Classification of lung nodules in diagnostic CT: an approach based on 3D vascular features, nodule density distribution, and shape features.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Surface Coil Intensity Correction and Non-linear Intensity Normalization Improve Pixel-Resolution Parametric Maps of Myocardial MRI Perfusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2001
Fully automatic 3D feature-based registration of multi-modality medical images.
Image Vis. Comput., 2001

2000
Evaluation of the accuracy of an edge-based approach for multimodality brain image registration.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Multimodality image registration based on hierarchical shape representation.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Hierarchical approach for automated segmentation of the brain volume from MR images.
Proceedings of the Medical Imaging 1999: Image Processing, 1999


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