@conference{Li2026,

title = {A Generative Model of Lung Patches Conditioned on Radiomics Features},

author = {Patrick Li and J. Webster Stayman and Grace Gang},

year  = {2026},

date = {2026-02-15},

note = {Submitted},

keywords = {Lungs, Machine Learning/Deep Learning, Radiomics},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Liu2026,

title = {Evaluation of Fluence Reduction versus Sparsity for Diffusion Posterior Sampling Reconstruction in Low-Dose CT},

author = {Zimo Liu and Xin Wang and Xiao Jiang and Altea Lorenzon and Grace Gang and J. Webster Stayman},

year  = {2026},

date = {2026-02-15},

note = {Submitted},

keywords = {Machine Learning/Deep Learning, MBIR, Sparse Sampling, System Assessment},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Fan2026,

title = {One-Step Material Decomposition using Spectral Diffusion Posterior Sampling in Sparse-View Dual-Layer CT},

author = {Yue Fan and Xin Wang and Zimo Liu and Grace Gang and J. Webster Stayman},

year  = {2026},

date = {2026-02-15},

note = {Submitted},

keywords = {Machine Learning/Deep Learning, MBIR, Spectral X-ray/CT},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Teng2026,

title = {Diffusion Posterior Sampling for Tomographic Reconstruction with Mixed Resolution Priors},

author = {Peiqing Teng and J. Webster Stayman},

year  = {2026},

date = {2026-02-15},

booktitle = {SPIE Medical Imaging Conference},

note = {Submitted},

keywords = {High-Resolution CT, Machine Learning/Deep Learning, MBIR},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{nokey,

title = {Joint Estimation of Scatter and Material Density in Volumetric Dual-Layer Cone-Beam CT},

author = {Xiao Jiang and Yue Fan and Altea Lorenzon and Grace Gang and J. Webster Stayman},

year  = {2026},

date = {2026-02-15},

urldate = {2026-02-15},

booktitle = {SPIE Medical Imaging Conference},

note = {Submitted},

keywords = {Artifact Correction, Machine Learning/Deep Learning, MBIR, Scatter Estimation, Spectral X-ray/CT},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{nokey,

title = {Simultaneous Material Decomposition and Detector Calibration in Photon-Counting CT},

author = {Xiao Jiang and Grace Gang and J. Webster Stayman},

year  = {2025},

date = {2025-11-01},

booktitle = {IEEE Medical Imaging Conference},

keywords = {Artifact Correction, High-Fidelity Modeling, Machine Learning/Deep Learning, MBIR, Spectral X-ray/CT},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{nokey,

title = {3D Diffusion Posterior Sampling CT Reconstruction},

author = {Peiqing Teng and Xiao Jiang and Liang Cai and Tzu-Cheng Lee and Ruoqiao Zhang and Jian Zhou and J. Webster Stayman},

year  = {2025},

date = {2025-11-01},

booktitle = {IEEE Medical Imaging Conference},

keywords = {Machine Learning/Deep Learning, MBIR},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Teneggi2025,

title = {Risk Controlling Prediction Sets for Semantic Uncertainty Quantification in CT Reconstruction},

author = {Jacopo Teneggi and J. Webster Stayman and Jeremias Sulam},

year  = {2025},

date = {2025-09-23},

urldate = {2025-09-23},

booktitle = {MICCAI},

volume = {28},

keywords = {Analysis, Machine Learning/Deep Learning, System Assessment},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Lin2025,

title = {Communicating Variability in Deep Learning CT Reconstruction with Posterior Sampling},

author = {Chen Ting Lin and Shudong Li and Patrick Li and Craig Abbey and Xiao Jiang and Leonid Roshkovan and Satomi Kawamoto and Hersh Sagreiya and J. Webster Stayman and Grace Gang},

year  = {2025},

date = {2025-05-28},

booktitle = {International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine},

volume = {18},

keywords = {Machine Learning/Deep Learning, System Assessment},

pubstate = {published},

tppubtype = {conference}

}

@conference{Jiang2025b,

title = {Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model},

author = {Xiao Jiang and Grace Gang and J. Webster Stayman},

url = {https://arxiv.org/abs/2503.22392

https://hqlab.sjtu.edu.cn/fully3d-2025/program},

year  = {2025},

date = {2025-05-28},

booktitle = {International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine},

volume = {18},

keywords = {CBCT, Machine Learning/Deep Learning, MBIR, Spectral X-ray/CT},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yuan2025,

title = {Recovery of GLRLM Features in Degraded Images using Deep Learning and Image Property Models},

author = {Yijie Yuan and Huay Din and Grace Kim and Michael McNitt-Gray and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13406/134062B/Recovery-of-GLRLM-features-in-degraded-images-using-deep-learning/10.1117/12.3047257.short},

doi = {10.1117/12.3047257},

year  = {2025},

date = {2025-04-11},

urldate = {2025-02-19},

booktitle = {SPIE Medical Imaging},

volume = {13406},

pages = {134062B},

keywords = {High-Fidelity Modeling, Machine Learning/Deep Learning, Radiomics},

pubstate = {published},

tppubtype = {conference}

}

@conference{Teng2025,

title = {3D Diffusion Posterior Sampling for CT Reconstruction},

author = {Peiqing Teng and Xiao Jiang and Liang Cai and Tzu-Cheng Lee and Ruoqiao Zhang and Jian Zhou and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13405/134050X/3D-diffusion-posterior-sampling-for-CT-reconstruction/10.1117/12.3047466.short},

doi = {10.1117/12.3047466},

year  = {2025},

date = {2025-04-08},

urldate = {2025-02-19},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134050X},

keywords = {Machine Learning/Deep Learning, MBIR, Regularization Design},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lorenzon2025,

title = {Joint Reconstruction and Scatter Estimation in Cone-beam CT using Diffusion Posterior Sampling},

author = {Altea Lorenzon and Xiao Jiang and Grace Gang and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13405/134050V/Joint-reconstruction-and-scatter-estimation-in-cone-beam-CT-using/10.1117/12.3047684.short},

doi = {10.1117/12.3047684},

year  = {2025},

date = {2025-04-08},

urldate = {2025-02-19},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134050V},

keywords = {Artifact Correction, CBCT, Machine Learning/Deep Learning, Scatter Estimation},

pubstate = {published},

tppubtype = {conference}

}

@conference{Jiang2025,

title = {Joint Estimation of Anatomy and Implants using a Mixed Prior Model},

author = {Xiao Jiang and Grace Gang and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13405/134051I/Joint-estimation-of-anatomy-and-implants-in-x-ray-CT/10.1117/12.3046496.short},

doi = {10.1117/12.3046496},

year  = {2025},

date = {2025-04-08},

urldate = {2025-02-20},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134051I},

keywords = {CBCT, Machine Learning/Deep Learning, Metal Artifacts, Regularization Design},

pubstate = {published},

tppubtype = {conference}

}

@conference{Wang2025,

title = {A conditional generative diffusion model of trabecular bone with tunable microstructure},

author = {Xin Wang and J. Webster Stayman and Wojciech Zbijewski},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13410/134100B/A-conditional-generative-diffusion-model-of-trabecular-bone-with-tunable/10.1117/12.3049125.short},

doi = {10.1117/12.3049125},

year  = {2025},

date = {2025-04-02},

urldate = {2025-02-18},

booktitle = {SPIE Medical Imaging},

volume = {13410},

pages = {134100B},

keywords = {Machine Learning/Deep Learning, Phantoms, Radiomics},

pubstate = {published},

tppubtype = {conference}

}

@conference{nokey,

title = {CT Reconstruction using Nonlinear Diffusion Posterior Sampling with Detector Blur Modeling},

author = {Shudong Li and Xiao Jiang and Yuan Shen and J. Webster Stayman},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11378848/},

year  = {2024},

date = {2024-08-06},

urldate = {2024-08-06},

booktitle = {8th International Conference on Image Formation in X-Ray Computed Tomography},

volume = {8},

pages = {30-33},

keywords = {High-Fidelity Modeling, High-Resolution CT, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lau2024,

title = {Simulating Pulmonary Nodules in Healthy Lung CT with Diffusion Networks},

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

url = {https://aapm.confex.com/aapm/2024am/meetingapp.cgi/Paper/12210},

year  = {2024},

date = {2024-07-25},

urldate = {2024-07-25},

booktitle = {AAPM Annual Meeting},

keywords = {Lungs, Machine Learning/Deep Learning, Phantoms},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yuan2024c,

title = {End-to-End Deep Learning Restoration of GLCM Features from Blurred and Noisy Images},

author = {Yijie Yuan and J. Webster Stayman and Grace Gang},

url = {https://aapm.confex.com/aapm/2024am/meetingapp.cgi/Paper/12454},

year  = {2024},

date = {2024-07-25},

urldate = {2024-07-25},

booktitle = {AAPM Annual Meeting},

keywords = {Machine Learning/Deep Learning, Radiomics},

pubstate = {published},

tppubtype = {conference}

}

@conference{Jiang2024b,

title = {CT Material Decomposition using Spectral Diffusion Posterior Sampling},

author = {Xiao Jiang and Grace Gang and J. Webster Stayman },

url = {https://pmc.ncbi.nlm.nih.gov/articles/PMC11412325/},

year  = {2024},

date = {2024-06-05},

urldate = {2024-06-05},

booktitle = {8th International Conference on Image Formation in X-Ray Computed Tomography},

volume = {8},

pages = {324-327},

keywords = {Machine Learning/Deep Learning, Spectral X-ray/CT},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yuan2024,

title = {End-to-end deep learning restoration of GLCM features from blurred and noisy images},

author = {Yijie Yuan and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12927/129271C/End-to-end-deep-learning-restoration-of-GLCM-features-from/10.1117/12.3006205.full#_=_},

doi = {10.1117/12.3006205},

year  = {2024},

date = {2024-02-22},

urldate = {2024-02-22},

booktitle = {Proc SPIE Medical Imaging},

volume = {12927},

pages = {129271C},

keywords = {Machine Learning/Deep Learning, Radiomics},

pubstate = {published},

tppubtype = {conference}

}

@conference{Liu2024,

title = {Fourier diffusion for sparse CT reconstruction },

author = {Anqi Liu and Grace Gang and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12925/1292516/Fourier-diffusion-for-sparse-CT-reconstruction/10.1117/12.3008622.full#_=_

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11378968/},

doi = {10.1117/12.3008622},

year  = {2024},

date = {2024-02-21},

urldate = {2024-02-21},

booktitle = {Proc SPIE Medical Imaging},

volume = {12925},

pages = {1292516 },

keywords = {High-Fidelity Modeling, Machine Learning/Deep Learning, Mammography, Sparse Sampling},

pubstate = {published},

tppubtype = {conference}

}

@conference{Li2024,

title = {Diffusion posterior sampling for nonlinear CT reconstruction },

author = {Shudong Li and Matt Tivnan and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12925/1292519/Diffusion-posterior-sampling-for-nonlinear-CT-reconstruction/10.1117/12.3007693.full#_=_},

doi = {10.1117/12.3007693},

year  = {2024},

date = {2024-02-21},

urldate = {2024-02-21},

booktitle = {Proc SPIE Medical Imaging},

volume = {12925},

pages = {1292519 },

keywords = {High-Fidelity Modeling, Machine Learning/Deep Learning, MBIR},

pubstate = {published},

tppubtype = {conference}

}

@conference{Jiang2023b,

title = {Multi-material Decomposition with Triple Layer Flat-Panel Detector CBCT using Model-based and Deep Learning Approaches},

author = {Xiao Jiang and Xiaoxuan Zhang and J. Webster Stayman and Grace Gang},

url = {https://aiai.jhu.edu/wp-content/uploads/Fully3D_2023_Jiang.pdf},

year  = {2023},

date = {2023-07-16},

urldate = {2023-07-16},

booktitle = {Proceedings of the 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine},

journal = {Proceedings of the 16th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine},

volume = {17},

note = {Poster Award},

keywords = {-Awards-, Machine Learning/Deep Learning, MBIR, Spectral X-ray/CT},

pubstate = {published},

tppubtype = {conference}

}

@conference{Teneggi2023,

title = {How to trust your diffusion model: A convex optimization approach to conformal risk control},

author = {Jacopo Teneggi and Matt Tivnan and J. Webster Stayman and Jeremias Sulam},

url = {https://proceedings.mlr.press/v202/teneggi23a.html},

year  = {2023},

date = {2023-07-03},

booktitle = {International Conference on Machine Learning},

pages = {33940-33960},

keywords = {Analysis, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{Yuan2023,

title = {Deep learning CT image restoration using system blur models},

author = {Yijie Yuan and Matt Tivnan and Grace Gang and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12463/124634J/Deep-learning-CT-image-restoration-using-system-blur-models/10.1117/12.2655806.full},

doi = {10.1117/12.2655806},

year  = {2023},

date = {2023-04-07},

booktitle = {Proc SPIE Medical Imaging},

volume = {12463},

pages = {950-955},

publisher = {SPIE},

keywords = {High-Fidelity Modeling, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{Jiang2023,

title = {Approaches for three material decomposition using a triple-layer flat-panel detector},

author = {Xiao Jiang and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12463/124630X/Approaches-for-three-material-decomposition-using-a-triple-layer-flat/10.1117/12.2654468.full},

doi = {10.1117/12.2654468},

year  = {2023},

date = {2023-04-07},

booktitle = {Proc SPIE Medical Imaging},

volume = {12463},

pages = {182-187},

publisher = {SPIE},

keywords = {Machine Learning/Deep Learning, Spectral X-ray/CT},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tivnan2023,

title = {Task-driven CT image quality optimization for low-contrast lesion detectability with tunable neural networks},

author = {Matt Tivnan and Tzu-Cheng Lee and Ruoqiao Zhang and Kirsten Boedeker and Liang Cai and Jeremias Sulam and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12463/124631M/Task-driven-CT-image-quality-optimization-for-low-contrast-lesion/10.1117/12.2653936.full},

doi = {10.1117/12.2653936},

year  = {2023},

date = {2023-04-07},

booktitle = {Proc SPIE Medical Imaging},

volume = {12463},

pages = {338-343},

publisher = {SPIE},

keywords = {Machine Learning/Deep Learning, Task-Driven Imaging},

pubstate = {published},

tppubtype = {conference}

}

@conference{Li2022b,

title = {Local linearity analysis of deep learning CT denoising algorithms},

author = {Junyuan Li and Wenying Wang and Matt Tivnan and Jeremias Sulam and Jerry L. Prince and Michael McNitt-Gray and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123040T/Local-linearity-analysis-of-deep-learning-CT-denoising-algorithms/10.1117/12.2646371.full},

doi = {10.1117/12.2646371},

year  = {2022},

date = {2022-10-17},

booktitle = {7th International Conference on Image Formation in X-Ray Computed Tomography},

volume = {12304},

pages = {123040T},

publisher = {SPIE},

keywords = {Analysis, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tivnan2022b,

title = {Tunable neural networks for multi-material image formation from spectral CT measurements},

author = {Matt Tivnan and Grace Gang and Ruoqiao Zhang and Peter Noël and Jeremias Sulam and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/proceedings/Download?urlId=10.1117%2F12.2647138

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627647/},

doi = {10.1117/12.2647138},

year  = {2022},

date = {2022-03-01},

booktitle = {7th International Conference on Image Formation in X-Ray Computed Tomography},

volume = {12304},

publisher = {SPIE},

keywords = {Machine Learning/Deep Learning, Spectral X-ray/CT},

pubstate = {published},

tppubtype = {conference}

}