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Su Hyun Lyu

Showing results (1-10 of 8) with videos related to

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Medical Physics|December 28, 2023
Microcalcification detectability in breast CT images using CNN observersSu Hyun Lyu, Craig K Abbey, Andrew M Hernandez, et al.
Medical Physics|August 30, 2023
Pre-whitened matched filter and convolutional neural network based model observer performance for mass lesion detection in non-contrast breast CTSu Hyun Lyu, Craig K Abbey, Andrew M Hernandez, et al.
Medical Physics|August 28, 2023
Model observer performance in contrast-enhanced lesions in breast CT: The influence of contrast concentration on detectabilitySu Hyun Lyu, Andrew M Hernandez, Shadi Aminololama Shakeri, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2021
High resolution microcalcification signal profiles for dedicated breast CTAndrew M Hernandez, Amy E Becker, Su Hyun Lyu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 26, 2021
High-resolution <math></math> imaging for characterizing microcalcification detection performance in breast CTAndrew M Hernandez, Amy E Becker, Su Hyun Lyu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 7, 2025
Hybrid simulation of breast CT for assessing microcalcification detectabilitySu Hyun Lyu, Andrey Makeev, Dan Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 2, 2021
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic featuresMarco Caballo, Andrew M Hernandez, Su Hyun Lyu, et al.
Medical Physics|November 24, 2020
Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imagingMarco Caballo, Domenico R Pangallo, Wendelien Sanderink, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Physics|December 28, 2023
Microcalcification detectability in breast CT images using CNN observersSu Hyun Lyu, Craig K Abbey, Andrew M Hernandez, et al.
Medical Physics|August 30, 2023
Pre-whitened matched filter and convolutional neural network based model observer performance for mass lesion detection in non-contrast breast CTSu Hyun Lyu, Craig K Abbey, Andrew M Hernandez, et al.
Medical Physics|August 28, 2023
Model observer performance in contrast-enhanced lesions in breast CT: The influence of contrast concentration on detectabilitySu Hyun Lyu, Andrew M Hernandez, Shadi Aminololama Shakeri, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 1, 2021
High resolution microcalcification signal profiles for dedicated breast CTAndrew M Hernandez, Amy E Becker, Su Hyun Lyu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 26, 2021
High-resolution <math></math> imaging for characterizing microcalcification detection performance in breast CTAndrew M Hernandez, Amy E Becker, Su Hyun Lyu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 7, 2025
Hybrid simulation of breast CT for assessing microcalcification detectabilitySu Hyun Lyu, Andrey Makeev, Dan Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 2, 2021
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic featuresMarco Caballo, Andrew M Hernandez, Su Hyun Lyu, et al.
Medical Physics|November 24, 2020
Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imagingMarco Caballo, Domenico R Pangallo, Wendelien Sanderink, et al.
Pageof 1