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Seonyeong Park

Showing results (1-10 of 23) with videos related to

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Pathogens (Basel, Switzerland)|August 28, 2025
Risk Factors for Latent Tuberculosis Identified Using Epidemiological Investigation in Congregate Settings of Gyeongsan City, Republic of Korea (2014-2023)Seonyeong Park, Kwan Lee
Arxiv|November 19, 2025
A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast PhantomsSeonyeong Park, Gangwon Jeong, Umberto Villa, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 14, 2021
3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed TomographyFu Li, Umberto Villa, Seonyeong Park, et al.
IEEE Journal of Translational Engineering in Health and Medicine|May 13, 2016
Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep LearningSeonyeong Park, Suk Jin Lee, Elisabeth Weiss, et al.
Photoacoustics|February 2, 2026
Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomographyRefik Mert Cam, Seonyeong Park, Umberto Villa, et al.
IEEE Journal of Translational Engineering in Health and Medicine|June 25, 2021
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRISeonyeong Park, H Michael Gach, Siyong Kim, et al.
IEEE Transactions on Medical Imaging|April 4, 2017
A Novel Method of Cone Beam CT Projection Binning Based on Image RegistrationSeonyeong Park, Siyong Kim, Byongyong Yi, et al.
Arxiv|February 6, 2026
Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic DatasetsPanpan Chen, Seonyeong Park, Gangwon Jeong, et al.
Journal of Biomedical Optics|March 16, 2022
Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breastSeonyeong Park, Frank J Brooks, Umberto Villa, et al.
Journal of Biomedical Optics|June 22, 2023
Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancerSeonyeong Park, Umberto Villa, Fu Li, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Pathogens (Basel, Switzerland)|August 28, 2025
Risk Factors for Latent Tuberculosis Identified Using Epidemiological Investigation in Congregate Settings of Gyeongsan City, Republic of Korea (2014-2023)Seonyeong Park, Kwan Lee
Arxiv|November 19, 2025
A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast PhantomsSeonyeong Park, Gangwon Jeong, Umberto Villa, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 14, 2021
3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed TomographyFu Li, Umberto Villa, Seonyeong Park, et al.
IEEE Journal of Translational Engineering in Health and Medicine|May 13, 2016
Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep LearningSeonyeong Park, Suk Jin Lee, Elisabeth Weiss, et al.
Photoacoustics|February 2, 2026
Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomographyRefik Mert Cam, Seonyeong Park, Umberto Villa, et al.
IEEE Journal of Translational Engineering in Health and Medicine|June 25, 2021
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRISeonyeong Park, H Michael Gach, Siyong Kim, et al.
IEEE Transactions on Medical Imaging|April 4, 2017
A Novel Method of Cone Beam CT Projection Binning Based on Image RegistrationSeonyeong Park, Siyong Kim, Byongyong Yi, et al.
Arxiv|February 6, 2026
Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic DatasetsPanpan Chen, Seonyeong Park, Gangwon Jeong, et al.
Journal of Biomedical Optics|March 16, 2022
Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breastSeonyeong Park, Frank J Brooks, Umberto Villa, et al.
Journal of Biomedical Optics|June 22, 2023
Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancerSeonyeong Park, Umberto Villa, Fu Li, et al.
Pageof 3