@inproceedings{Li2026b,

title = {Diffusion Posterior Sampling for Interventional Vascular Reconstruction using Limited Angle and Sparse view data in 4D-DSA},

author = {Shudong Li and Suyu Liao and Peiqing Teng and J. Webster Stayman and Grace Gang},

year  = {2026},

date = {2026-06-01},

urldate = {2026-06-01},

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

note = {Accepted.},

keywords = {Machine Learning/Deep Learning, Sequential CT},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Teng2026b,

title = {Mixed Prior Diffusion Posterior Sampling for High Resolution CT Reconstruction},

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

year  = {2026},

date = {2026-06-01},

urldate = {2026-06-01},

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

note = {Accepted.},

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

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Li2026,

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

author = {Patrick Li and Yijie Yuan and Xin Wang and Huay Din and Cheng Ting Lin and Grace Kim and Michael McNitt-Gray and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13924/1392409/A-generative-model-of-lung-CT-conditioned-on-radiomics-features/10.1117/12.3088074.full},

doi = {10.1117/12.3088074},

year  = {2026},

date = {2026-04-02},

urldate = {2026-04-02},

booktitle = {SPIE Medical Imaging},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13924/139241J/Evaluation-of-fluence-reduction-versus-sparsity-for-diffusion-posterior-sampling/10.1117/12.3087836.full},

doi = {10.1117/12.3087836},

year  = {2026},

date = {2026-04-02},

urldate = {2026-04-02},

booktitle = {SPIE Medical Imaging},

volume = {13924},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13924/139241O/One-step-material-decomposition-using-spectral-diffusion-posterior-sampling-in/10.1117/12.3087781.full},

doi = {10.1117/12.3087781},

year  = {2026},

date = {2026-04-02},

urldate = {2026-04-02},

booktitle = {SPIE Medical Imaging},

volume = {13924},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Teng2026,

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

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

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13924/139241R/Diffusion-posterior-sampling-for-tomographic-reconstruction-with-mixed-resolution-priors/10.1117/12.3088076.full},

doi = {10.1117/12.3088076},

year  = {2026},

date = {2026-04-02},

urldate = {2026-04-02},

booktitle = {SPIE Medical Imaging },

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Jiang2026b,

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

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

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13924/1392417/Joint-estimation-of-scatter-distribution-and-material-maps-in-volumetric/10.1117/12.3086291.full},

doi = {10.1117/12.3086291},

year  = {2026},

date = {2026-04-02},

urldate = {2026-04-02},

booktitle = {SPIE Medical Imaging},

volume = {13924},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Teneggi2025,

title = {Conformal risk control for semantic uncertainty quantification in computed tomography},

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

url = {https://link.springer.com/chapter/10.1007/978-3-032-05185-1_5},

doi = {10.1007/978-3-032-05185-1_5},

year  = {2025},

date = {2025-09-23},

urldate = {2025-09-23},

booktitle = {MICCAI},

volume = {15973},

pages = {45-55},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lin2025,

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

author = {Cheng 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},

urldate = {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 = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{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 = {2025-04-11},

booktitle = {SPIE Medical Imaging},

volume = {13406},

pages = {134062B},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 = {2025-04-08},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134050X},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 = {2025-04-08},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134050V},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 = {2025-04-08},

booktitle = {SPIE Medical Imaging},

volume = {13405},

pages = {134051I},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 = {2025-04-02},

booktitle = {SPIE Medical Imaging},

volume = {13410},

pages = {134100B},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{Lau2024,

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

author = {Benjamin Lau and Cheng 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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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 = {inproceedings}

}

@inproceedings{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},

urldate = {2023-07-03},

booktitle = {International Conference on Machine Learning},

pages = {33940-33960},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{Li2022,

title = {Performance assessment framework for neural network denoising},

author = {Junyuan Li and Wenying Wang and Matt Tivnan and J. Webster Stayman and Grace Gang },

url = {https://pubmed.ncbi.nlm.nih.gov/35585939/, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12031/1203114/Performance-assessment-framework-for-neural-network-denoising/10.1117/12.2612732.full},

doi = {10.1117/12.2612732 },

year  = {2022},

date = {2022-04-04},

urldate = {2022-04-04},

booktitle = {SPIE Medical Imaging},

volume = {12031},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tivnan2022,

title = {Control of variance and bias in CT image processing with variational training of deep neural networks},

author = {Matt Tivnan and Wenying Wang and Grace Gang and Peter Noël and J. Webster Stayman },

url = {https://pubmed.ncbi.nlm.nih.gov/35656120/, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12031/120310P/Control-of-variance-and-bias-in-CT-image-processing-with/10.1117/12.2612417.full},

doi = { 10.1117/12.2612417 },

year  = {2022},

date = {2022-04-04},

urldate = {2022-04-04},

booktitle = {SPIE Medical Imaging},

volume = {12031},

note = {Wagner Award Finalist and 2nd Place Best Student Paper},

keywords = {-Awards-, Analysis, Machine Learning/Deep Learning, Regularization Design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Russ2022,

title = {Fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits},

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

url = {https://pubmed.ncbi.nlm.nih.gov/35601023/, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12031/120311I/Fast-CBCT-reconstruction-using-convolutional-neural-networks-for-arbitrary-robotic/10.1117/12.2612935.full},

doi = {10.1117/12.2612935 },

year  = {2022},

date = {2022-04-04},

urldate = {2022-04-04},

booktitle = {SPIE Medical Imaging},

volume = {12031},

keywords = {CBCT, Customized Acquisition, Fast Algorithms, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2022,

title = {Data-dependent nonlinearity analysis in CT denoising CNNs},

author = {Wenying Wang and Matt Tivnan and Junyuan Li and J. Webster Stayman and Grace Gang },

url = {https://pubmed.ncbi.nlm.nih.gov/35601024/, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12031/1203117/Data-dependent-nonlinearity-analysis-in-CT-denoising-CNNs/10.1117/12.2612569.full},

doi = {10.1117/12.2612569 },

year  = {2022},

date = {2022-04-04},

booktitle = {SPIE Medical Imaging},

volume = {12031},

publisher = {SPIE},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{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},

urldate = {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 = {inproceedings}

}

@inproceedings{Russ2021,

title = {Fast reconstruction of non-circular CBCT orbits using CNNs},

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

url = {https://www.researchgate.net/profile/Sepideh-Hatamikia/publication/355338721_Fast_Reconstruction_of_non-circular_CBCT_orbits_using_CNNs/links/61758df33c987366c3ddea74/Fast-Reconstruction-of-non-circular-CBCT-orbits-using-CNNs.pdf},

year  = {2021},

date = {2021-07-19},

urldate = {2021-07-19},

booktitle = {16th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine},

volume = {16},

keywords = {CBCT, Customized Acquisition, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2021c,

title = {Image Properties Prediction in Nonlinear Model-based Reconstruction using a Perceptron Network},

author = {Wenying Wang and J. Webster Stayman and Grace Gang},

editor = {Georg Schramm and Ahmadreza Rezaei and Kris Thielemans and Johan Nuyts},

url = {https://aiai.jhu.edu/wp-content/uploads/Fully3D_2021_Wang.pdf},

year  = {2021},

date = {2021-07-01},

urldate = {2021-07-01},

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

},

volume = {16},

pages = {250-253},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sisniega2021,

title = {Deformable image-based motion compensation for interventional cone-beam CT with learned autofocus metrics},

author = {Alejandro Sisniega and Heyuan Huang and Wojciech Zbijewski and J. Webster Stayman and Clifford Weiss and Tina Ehtiati and Jeffrey H. Siewerdsen},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11595/115950W/Deformable-image-based-motion-compensation-for-interventional-cone-beam-CT/10.1117/12.2582140.full},

doi = {10.1117/12.2582140},

year  = {2021},

date = {2021-02-15},

booktitle = {SPIE Medical Imaging},

volume = {11595},

pages = {115950W},

publisher = {International Society for Optics and Photonics},

keywords = {CBCT, Machine Learning/Deep Learning, Motion Compensation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Li2021,

title = {Mitigating unknown biases in CT data using machine learning},

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

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11595/1159541/Mitigating-unknown-biases-in-CT-data-using-machine-learning/10.1117/12.2582274.full},

doi = {10.1117/12.2582274},

year  = {2021},

date = {2021-02-15},

booktitle = {SPIE Medical Imaging},

volume = {11595},

pages = {1159541},

publisher = {International Society for Optics and Photonics},

keywords = {Artifact Correction, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tivnan2021,

title = {Manifold reconstruction of differences: a model-based iterative statistical estimation algorithm with a data-driven prior},

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

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11595/115951R/Manifold-reconstruction-of-differences--a-model-based-iterative-statistical/10.1117/12.2582268.full},

doi = {10.1117/12.2582268},

year  = {2021},

date = {2021-02-15},

booktitle = {SPIE Medical Imaging},

volume = {11595},

pages = {115951R},

publisher = {International Society for Optics and Photonics},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pan2021,

title = {Generative adversarial networks and radiomics supervision for lung lesion synthesis},

author = {Shaoyan Pan and Jessica Flores and Cheng Ting Lin and J. Webster Stayman and Grace Gang},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11595/115950O/Generative-adversarial-networks-and-radiomics-supervision-for-lung-lesion-synthesis/10.1117/12.2582151.full},

doi = {10.1117/12.2582151},

year  = {2021},

date = {2021-02-15},

urldate = {2021-02-15},

booktitle = {SPIE Medical Imaging},

volume = {11595},

pages = {115950O},

publisher = {International Society for Optics and Photonics},

note = {Robert F. Wagner All-conference Best Student Paper Award },

keywords = {-Awards-, Lungs, Machine Learning/Deep Learning, Radiomics, System Assessment},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2021,

title = {A CT denoising neural network with image properties parameterization and control},

author = {Wenying Wang and Grace Gang and J. Webster Stayman },

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11595/115950K/A-CT-denoising-neural-network-with-image-properties-parameterization-and/10.1117/12.2582145.full},

doi = {10.1117/12.2582145},

year  = {2021},

date = {2021-02-15},

booktitle = {SPIE Medical Imaging},

volume = {11595},

pages = {115950K},

publisher = {International Society for Optics and Photonics},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang2020bb,

title = {Perturbation Response of Model-based Material Decomposition with Edge-Preserving Penalties},

author = {Wenying Wang and Grace Gang and Matt Tivnan and J. Webster Stayman},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643887/},

year  = {2020},

date = {2020-08-01},

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

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sisniega2020,

title = {Estimation of local deformable motion in image-based motion compensation for interventional cone-beam CT},

author = {Alejandro Sisniega and Sarah Capostagno and Wojciech Zbijewski and J. Webster Stayman and Tina Ehtiati and Jeffrey H. Siewerdsen},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11312/113121M/Estimation-of-local-deformable-motion-in-image-based-motion-compensation/10.1117/12.2549753.full},

doi = {10.1117/12.2549753},

year  = {2020},

date = {2020-03-16},

booktitle = {SPIE Medical Imaging},

volume = {11312},

pages = {113121M},

publisher = {International Society for Optics and Photonics},

keywords = {CBCT, Image Guided Surgery, Image Registration, Machine Learning/Deep Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gang2019c,

title = {Performance analysis for nonlinear tomographic data processing},

author = {Grace Gang and Xueqi Guo and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11072/110720W/Performance-analysis-for-nonlinear-tomographic-data-processing/10.1117/12.2534983.full},

doi = {10.1117/12.2534983},

year  = {2019},

date = {2019-05-28},

booktitle = {SPIE Proceedings, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},

volume = {11072},

pages = {110720W-1-5},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gang2019,

title = {Generalized prediction framework for reconstructed image properties using neural networks},

author = {Grace Gang and Kailun Cheng and Xueqi Guo and J. Webster Stayman},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10948/109480L/Generalized-prediction-framework-for-reconstructed-image-properties-using-neural-networks/10.1117/12.2513485.full},

doi = {10.1117/12.2513485},

year  = {2019},

date = {2019-03-01},

booktitle = {Proc. SPIE Medical Imaging},

volume = {10948},

pages = {109480L-1-6},

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

pubstate = {published},

tppubtype = {inproceedings}

}