Publications

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2025

Jiang, Xiao; Gang, Grace; Stayman, J. Webster

Joint Estimation of Anatomy and Implants using a Mixed Prior Model Conference Forthcoming

SPIE Medical Imaging, Forthcoming.

BibTeX | Tags: CBCT, Machine Learning/Deep Learning, Metal Artifacts, Regularization Design

Teng, Peiqing; Jiang, Xiao; Cai, Liang; Lee, Tzu-Cheng; Zhang, Ruoqiao; Zhou, Jian; Stayman, J. Webster

3D Diffusion Posterior Sampling for CT Reconstruction Conference Forthcoming

SPIE Medical Imaging, Forthcoming.

BibTeX | Tags: Machine Learning/Deep Learning, MBIR, Regularization Design

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

Lorenzon, Altea; Jiang, Xiao; Gang, Grace; Stayman, J. Webster

Joint Reconstruction and Scatter Estimation in Cone-beam CT using Diffusion Posterior Sampling Conference Forthcoming

SPIE Medical Imaging, Forthcoming.

BibTeX | Tags: Artifact Correction, CBCT, Machine Learning/Deep Learning, Scatter Estimation

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; Gang, Grace; Stayman, J. Webster

Deep Learning CT Image Restoration using System Blur and Noise Models Journal Article Forthcoming

In: TBD, Forthcoming.

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

Li, Shudong; Jiang, Xiao; Tivnan, Matt; Gang, Grace; Shen, Yuan; Stayman, J. Webster

Diffusion Posterior Sampling for Nonlinear CT Reconstruction Honorable Mention Journal Article

In: Journal of Medical Imaging, vol. 11, iss. 4, pp. 043504 , 2024, (** Featured on Cover **).

Links | BibTeX | Tags: -Awards-, High-Fidelity Modeling, Machine Learning/Deep Learning, MBIR

Li, Shudong; Jiang, Xiao; Shen, Yuan; Stayman, J. Webster

CT Reconstruction using Nonlinear Diffusion Posterior Sampling with Detector Blur Modeling Conference

8th International Conference on Image Formation in X-Ray Computed Tomography, vol. 8, 2024.

Links | BibTeX | Tags: High-Fidelity Modeling, High-Resolution CT, Machine Learning/Deep Learning

Jiang, Xiao; Gang, Grace; Stayman, J. Webster

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling Journal Article Forthcoming

In: Forthcoming.

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

Lau, Benjamin; Lin, Chen Ting; Roshkovan, Leonid; Sagreiya, Hersh; Hsu, Wen-Chi; Jamal, Faisal; Dako, Farouk; Kamona, Aws; Katz, Sharyn; Stayman, J. Webster; Gang, Grace

Simulating Pulmonary Nodules in Healthy Lung CT with Diffusion Networks Conference Forthcoming

AAPM Annual Meeting, Forthcoming.

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

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

Jiang, Xiao; Li, Shudong; Teng, Peiqing; Gang, Grace; Stayman, J. Webster

Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model Journal Article Forthcoming

In: TBD, Forthcoming.

Links | BibTeX | Tags: Fast Algorithms, Machine Learning/Deep Learning, MBIR

Jiang, Xiao; Gang, Grace; Stayman, J. Webster

CT Material Decomposition using Spectral Diffusion Posterior Sampling Conference Forthcoming

8th International Conference on Image Formation in X-Ray Computed Tomography, vol. 8, Forthcoming.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Spectral X-ray/CT

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

Liu, Anqi; Gang, Grace; Stayman, J. Webster

Fourier diffusion for sparse CT reconstruction Conference

Proc SPIE Medical Imaging, vol. 12925, 2024.

Links | BibTeX | Tags: High-Fidelity Modeling, Machine Learning/Deep Learning, Mammography, Sparse Sampling

Li, Shudong; Tivnan, Matt; Stayman, J. Webster

Diffusion posterior sampling for nonlinear CT reconstruction Conference

Proc SPIE Medical Imaging, vol. 12925, 2024.

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

2023

Jiang, Xiao; Zhang, Xiaoxuan; Stayman, J. Webster; Gang, Grace

Multi-material Decomposition with Triple Layer Flat-Panel Detector CBCT using Model-based and Deep Learning Approaches Honorable Mention Conference

Proceedings of the 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, vol. 17, 2023, (Poster Award).

Links | BibTeX | Tags: -Awards-, Machine Learning/Deep Learning, MBIR, Spectral X-ray/CT

Teneggi, Jacopo; Tivnan, Matt; Stayman, J. Webster; Sulam, Jeremias

How to trust your diffusion model: A convex optimization approach to conformal risk control Conference

International Conference on Machine Learning, 2023.

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

Tivnan, Matt; Gang, Grace; Wang, Wenying; Noël, Peter; Sulam, Jeremias; Stayman, J. Webster

Tunable neural networks for CT image formation Journal Article

In: Journal of Medical Imaging, vol. 10, iss. 3, pp. 033501-033501, 2023.

Links | BibTeX | Tags: High-Fidelity Modeling, Machine Learning/Deep Learning, Task-Driven Imaging

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

Deep learning CT image restoration using system blur models Conference

Proc SPIE Medical Imaging, vol. 12463, SPIE, 2023.

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

Jiang, Xiao; Stayman, J. Webster; Gang, Grace

Approaches for three material decomposition using a triple-layer flat-panel detector Conference

Proc SPIE Medical Imaging, vol. 12463, SPIE, 2023.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Spectral X-ray/CT

Tivnan, Matt; Lee, Tzu-Cheng; Zhang, Ruoqiao; Boedeker, Kirsten; Cai, Liang; Sulam, Jeremias; Stayman, J. Webster

Task-driven CT image quality optimization for low-contrast lesion detectability with tunable neural networks Conference

Proc SPIE Medical Imaging, vol. 12463, SPIE, 2023.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Task-Driven Imaging

Tivnan, Matt; Teneggi, Jacopo; Lee, Tzu-Cheng; Zhang, Ruoqiao; Boedeker, Kirsten; Cai, Liang; Gang, Grace; Sulam, Jeremias; Stayman, J. Webster

Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation Journal Article Forthcoming

In: arXiv, Forthcoming.

Links | BibTeX | Tags: High-Fidelity Modeling, Machine Learning/Deep Learning, Task-Driven Imaging

2022

Li, Junyuan; Wang, Wenying; Tivnan, Matt; Sulam, Jeremias; Prince, Jerry L.; McNitt-Gray, Michael; Stayman, J. Webster; Gang, Grace

Local linearity analysis of deep learning CT denoising algorithms Conference

7th International Conference on Image Formation in X-Ray Computed Tomography, vol. 12304, SPIE, 2022.

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

Wang, Wenying; Tivnan, Matt; Li, Junyuan; Stayman, J. Webster; Gang, Grace

Data-dependent nonlinearity analysis in CT denoising CNNs Proceedings Article

In: SPIE Medical Imaging, SPIE, 2022.

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

Li, Junyuan; Wang, Wenying; Tivnan, Matt; Stayman, J. Webster; Gang, Grace

Performance assessment framework for neural network denoising Proceedings Article

In: SPIE Medical Imaging, 2022.

Links | BibTeX | Tags: Analysis, Machine Learning/Deep Learning, System Assessment

Russ, Tom; Ma, Yiqun; Golla, Alena-Kathrin; Bauer, Dominik F; Reynolds, Tess; Toennes, Christian; Hatamikia, Sepideh; Schad, Lothar R.; Zöllner, Frank G; Gang, Grace; Wang, Wenying; Stayman, J. Webster

Fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits Proceedings Article

In: SPIE Medical Imaging, 2022.

Links | BibTeX | Tags: CBCT, Customized Acquisition, Fast Algorithms, Machine Learning/Deep Learning

Tivnan, Matt; Wang, Wenying; Gang, Grace; Noël, Peter; Stayman, J. Webster

Control of variance and bias in CT image processing with variational training of deep neural networks Honorable Mention Proceedings Article

In: SPIE Medical Imaging, 2022, (Wagner Award Finalist and 2nd Place Best Student Paper).

Links | BibTeX | Tags: -Awards-, Analysis, Machine Learning/Deep Learning, Regularization Design

Tivnan, Matt; Gang, Grace; Zhang, Ruoqiao; Noël, Peter; Sulam, Jeremias; Stayman, J. Webster

Tunable neural networks for multi-material image formation from spectral CT measurements Conference

7th International Conference on Image Formation in X-Ray Computed Tomography, vol. 12304, SPIE, 2022.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Spectral X-ray/CT

2021

Russ, Tom; Wang, Wenying; Golla, Alena-Kathrin; Bauer, Dominik F; Tivnan, Matt; Toennes, Christian; Ma, Yiqun; Reynolds, Tess; Hatamikia, Sepideh; Schad, Lothar R.; Zöllner, Frank G; Gang, Grace; Stayman, J. Webster

Fast reconstruction of non-circular CBCT orbits using CNNs Proceedings Article

In: 16th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, 2021.

Links | BibTeX | Tags: CBCT, Customized Acquisition, Machine Learning/Deep Learning

Sisniega, Alejandro; Huang, Heyuan; Zbijewski, Wojciech; Stayman, J. Webster; Weiss, Clifford; Ehtiati, Tina; Siewerdsen, Jeffrey H.

Deformable image-based motion compensation for interventional cone-beam CT with learned autofocus metrics Proceedings Article

In: SPIE Medical Imaging, pp. 115950W, International Society for Optics and Photonics, 2021.

Links | BibTeX | Tags: CBCT, Machine Learning/Deep Learning, Motion Compensation

Li, Junyuan; Gang, Grace; Stayman, J. Webster

Mitigating unknown biases in CT data using machine learning Proceedings Article

In: SPIE Medical Imaging, pp. 1159541, International Society for Optics and Photonics, 2021.

Links | BibTeX | Tags: Artifact Correction, Machine Learning/Deep Learning

Tivnan, Matt; Stayman, J. Webster

Manifold reconstruction of differences: a model-based iterative statistical estimation algorithm with a data-driven prior Proceedings Article

In: SPIE Medical Imaging, pp. 115951R, International Society for Optics and Photonics, 2021.

Links | BibTeX | Tags: Machine Learning/Deep Learning, MBIR, Prior Images, Regularization Design

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

Wang, Wenying; Gang, Grace; Stayman, J. Webster

A CT denoising neural network with image properties parameterization and control Proceedings Article

In: SPIE Medical Imaging, pp. 115950K, International Society for Optics and Photonics, 2021.

Links | BibTeX | Tags: Machine Learning/Deep Learning, Regularization Design, Task-Driven Imaging

2020

Wang, Wenying; Gang, Grace; Tivnan, Matt; Stayman, J. Webster

Perturbation Response of Model-based Material Decomposition with Edge-Preserving Penalties Proceedings Article

In: International Conference on Image Formation in X-Ray Computed Tomography, 2020.

Links | BibTeX | Tags: Analysis, Machine Learning/Deep Learning, MBIR, Regularization Design

Sisniega, Alejandro; Capostagno, Sarah; Zbijewski, Wojciech; Stayman, J. Webster; Ehtiati, Tina; Siewerdsen, Jeffrey H.

Estimation of local deformable motion in image-based motion compensation for interventional cone-beam CT Proceedings Article

In: SPIE Medical Imaging, pp. 113121M, International Society for Optics and Photonics, 2020.

Links | BibTeX | Tags: CBCT, Image Guided Surgery, Image Registration, Machine Learning/Deep Learning

2019

Gang, Grace; Guo, Xueqi; Stayman, J. Webster

Performance analysis for nonlinear tomographic data processing Proceedings Article

In: SPIE Proceedings, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 110720W-1-5, 2019.

Links | BibTeX | Tags: Analysis, Machine Learning/Deep Learning, MBIR, System Assessment

Gang, Grace; Cheng, Kailun; Guo, Xueqi; Stayman, J. Webster

Generalized prediction framework for reconstructed image properties using neural networks Proceedings Article

In: Proc. SPIE Medical Imaging, pp. 109480L-1-6, 2019.

Links | BibTeX | Tags: Analysis, Machine Learning/Deep Learning, MBIR, System Assessment