Publications

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2026

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

A Theoretical Prediction of CT-based Radiomics Feature Variance to Improve the Performance Classification Models Honorable Mention Proceedings Article Forthcoming

In: International Conference on Image Formation in X-Ray Computed Tomography, Forthcoming, (Accepted. Top 4 Scoring Abstract!).

BibTeX | Tags: -Awards-, Analysis, Radiomics

Li, Patrick; Yuan, Yijie; Wang, Xin; Din, Huay; Lin, Cheng Ting; Kim, Grace; McNitt-Gray, Michael; Stayman, J. Webster; Gang, Grace

A Generative Model of Lung Patches Conditioned on Radiomics Features Proceedings Article

In: SPIE Medical Imaging, 2026.

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

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

Using a physics-based approach to standardize radiomics values: experimental validation in an anthropomorphic phantom on a clinical CT scanner using a range of dose levels and reconstruction kernels Proceedings Article

In: SPIE Medical Imaging, 2026.

Links | BibTeX | Tags: Radiomics

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 Proceedings Article

In: SPIE Medical Imaging, pp. 134062B, 2025.

Links | 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 Proceedings Article

In: SPIE Medical Imaging, pp. 134100B, 2025.

Links | 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

In: IEEE Trans. Biomedical Engineering, vol. 72, no. 1, pp. 286-296, 2024.

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 Proceedings Article

In: AAPM Annual Meeting, 2024.

Links | 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 Proceedings Article

In: Proc SPIE Medical Imaging, pp. 129271C, 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, Cheng 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