Publications

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2025

Yuan, Yijie; Din, Huay; Kim, Grace; McNitt-Gray, Michael; Stayman, J. Webster; Gang, Grace

Recovery of GLRLM Features in Degraded Images using Deep Learning and Image Property Models Conference Forthcoming

SPIE Medical Imaging, Forthcoming.

BibTeX | Tags: High-Fidelity Modeling, Machine Learning/Deep Learning, Radiomics

Wang, Xin; Stayman, J. Webster; Zbijewski, Wojciech

A conditional generative diffusion model of trabecular bone with tunable microstructure Conference Forthcoming

SPIE Medical Imaging, Forthcoming.

BibTeX | Tags: Machine Learning/Deep Learning, Phantoms, Radiomics

2024

Li, Junyuan; Pan, Shaoyan; Zhang, Xiaoxuan; Stayman, J. Webster; Gang, Grace

Generative Adversarial Networks with Radiomics Supervision for Lung Lesion Generation Journal Article Forthcoming

In: IEEE Trans. Biomedical Engineering, Forthcoming.

Links | BibTeX | Tags: Lungs, Machine Learning/Deep Learning, Phantoms, Radiomics

Yuan, Yijie; Stayman, J. Webster; Gang, Grace

End-to-End Deep Learning Restoration of GLCM Features from Blurred and Noisy Images Conference Forthcoming

AAPM Annual Meeting, Forthcoming.

BibTeX | Tags: Machine Learning/Deep Learning, Radiomics

Yuan, Yijie; Stayman, J. Webster; Gang, Grace

End-to-end deep learning restoration of GLCM features from blurred and noisy images Conference

Proc SPIE Medical Imaging, vol. 12927, 2024.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Radiomics

2021

Gang, Grace; Deshpande, Radhika; Stayman, J. Webster

Standardization of histogram- and gray-level co-occurrence matrices-based radiomics in the presence of blur and noise Journal Article

In: Physics in Medicine and Biology, vol. 66, no. 7, pp. 074004, 2021.

Links | BibTeX | Tags: Analysis, Radiomics

Gang, Grace; Deshpande, Radhika; Stayman, J. Webster

End-to-end modeling for predicting and estimating radiomics: application to gray level co-occurrence matrices in CT Proceedings Article

In: SPIE Medical Imaging, pp. 1159509, International Society for Optics and Photonics, 2021.

Links | BibTeX | Tags: Analysis, Radiomics

Pan, Shaoyan; Flores, Jessica; Lin, Chen Ting; Stayman, J. Webster; Gang, Grace

Generative adversarial networks and radiomics supervision for lung lesion synthesis Best Paper Proceedings Article

In: SPIE Medical Imaging, pp. 115950O, International Society for Optics and Photonics, 2021, (Robert F. Wagner All-conference Best Student Paper Award ).

Links | BibTeX | Tags: -Awards-, Lungs, Machine Learning/Deep Learning, Radiomics, System Assessment