2026
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!).
A Generative Model of Lung Patches Conditioned on Radiomics Features Proceedings Article
In: SPIE Medical Imaging, 2026.
In: SPIE Medical Imaging, 2026.
2025
Recovery of GLRLM Features in Degraded Images using Deep Learning and Image Property Models Proceedings Article
In: SPIE Medical Imaging, pp. 134062B, 2025.
A conditional generative diffusion model of trabecular bone with tunable microstructure Proceedings Article
In: SPIE Medical Imaging, pp. 134100B, 2025.
2024
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.
End-to-End Deep Learning Restoration of GLCM Features from Blurred and Noisy Images Proceedings Article
In: AAPM Annual Meeting, 2024.
End-to-end deep learning restoration of GLCM features from blurred and noisy images Proceedings Article
In: Proc SPIE Medical Imaging, pp. 129271C, 2024.
2021
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.
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.
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 ).