Dr. Junbo Peng Profile

Dr. Junbo Peng

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Author

Junbo Peng obtained his BSc in physics from University of Science and Technology of China (USTC) in 2017, and PhD in medical physics from Georgia Institute of Technology in 2023.
He is currently working as a Postdoctoral Fellow in the Department of Radiation Oncology and Winship Cancer Institute at Emory University School of Medicine.

Proceedings Article | 6 May 2024 Presentation + Paper

Unsupervised-learning material decomposition for dual-energy CT with image-domain data fidelity

Junbo Peng, Huiqiao Xie, Chih-Wei Chang, Justin Roper, Richard L. Qiu, Tonghe Wang, Xiangyang Tang, Xiaofeng Yang

Proceedings Volume 12925, 1292513 (2024) https://doi.org/10.1117/12.3006936

KEYWORDS: Signal to noise ratio, Computed tomography, Matrices, Tissues, Bone, Biomedical applications, Education and training, Clinical practice, Machine learning, Interference (communication)

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Proceedings Article | 2 April 2024 Poster + Paper

Synthetic CT generation from MRI using 3D diffusion model

Shaoyan Pan, Elham Abouei, Jacob Wynne, Tonghe Wang, Richard L. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Shihan Qiu, Justin Roper, Pretesh Patel, David Yu, Hui Mao, Xiaofeng Yang

Proceedings Volume 12926, 129262L (2024) https://doi.org/10.1117/12.3006578

KEYWORDS: Computed tomography, Magnetic resonance imaging, Diffusion, 3D modeling, Denoising, Brain, Prostate, Education and training, Radiotherapy, Lithium

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Proceedings Article | 2 April 2024 Poster + Paper

Dose-weighted proton linear energy transfer map generation using a deep learning framework

Yuan Gao, Chih-Wei Chang, Shaoyan Pan, Junbo Peng, Chaoqiong Ma, Pretesh Patel, Justin Roper, Jun Zhou, Xiaofeng Yang

Proceedings Volume 12930, 1293023 (2024) https://doi.org/10.1117/12.3006962

KEYWORDS: Proton therapy, Deep learning, Education and training, Monte Carlo methods, Gallium nitride, Tissues, Energy transfer, Radiotherapy, Prostate cancer, Performance modeling

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Proceedings Article | 2 April 2024 Poster + Paper

Full-dose PET synthesis from low-dose PET using 2D high efficiency denoising diffusion probabilistic model

Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon Nye, Hui Mao, Xiaofeng Yang

Proceedings Volume 12930, 129301Q (2024) https://doi.org/10.1117/12.3006565

KEYWORDS: Positron emission tomography, Diffusion, Denoising, Computed tomography, Medical imaging, 3D modeling, Image segmentation, Deep learning, Magnetic resonance imaging, Machine learning

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Proceedings Article | 2 April 2024 Paper

Contrast-enhanced dual-energy CT synthesis from single energy CT using diffusion model

Yuan Gao, Huiqiao Xie, Chih-wei Chang, Junbo Peng, Jing Wang, Richard Qiu, Tonghe Wang, Beth Ghavidel, Justin Roper, Jun Zhou, Xiaofeng Yang

Proceedings Volume 12930, 129302B (2024) https://doi.org/10.1117/12.3008507

KEYWORDS: Diffusion, Education and training, Iodine, Scanners, Computed tomography, Tissues, X-ray computed tomography, Radiotherapy, Image processing, Data modeling

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Proceedings Article | 2 April 2024 Poster + Paper

Image-domain material decomposition for dual-energy CT using a conditional diffusion model

Junbo Peng, Chih-Wei Chang, Mingdong Fan, Huiqiao Xie, Justin Roper, Richard L. Qiu, Tonghe Wang, Xiangyang Tang, Xiaofeng Yang

Proceedings Volume 12930, 1293022 (2024) https://doi.org/10.1117/12.3006941

KEYWORDS: Diffusion, Signal to noise ratio, Computed tomography, Tissues, Matrices, Education and training, Bone, Performance modeling, Image processing, Biomedical applications

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Proceedings Article | 2 April 2024 Poster + Paper

Using diffusion model to generate high-resolution MRI

Chih-Wei Chang, Shaoyan Pan, Junbo Peng, Elahheh Salari, Justin Roper, Richard Qiu, Yuan Gao, Tian Liu, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang

Proceedings Volume 12930, 129301S (2024) https://doi.org/10.1117/12.3006586

KEYWORDS: Magnetic resonance imaging, Diffusion, Lawrencium, Image processing, Deep learning, Brain, Image quality, Denoising, Data modeling, Neuroimaging

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Proceedings Article | 1 April 2024 Poster + Paper

Iodine map synthesis from non-contrast CT using diffusion model

Yuan Gao, Huiqiao Xie, Chih-Wei Chang, Junbo Peng, Richard Qiu, Tonghe Wang, Justin Roper, Beth Ghavidel, Jun Zhou, Xiaofeng Yang

Proceedings Volume 12925, 129254P (2024) https://doi.org/10.1117/12.3006952

KEYWORDS: Iodine, Diffusion, Computed tomography, Education and training, Tissues, Visual process modeling, Denoising, Deep learning, Data modeling, Systems modeling

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Proceedings Article | 1 April 2024 Poster + Paper

Metal artifact reduction in CT using unsupervised sinogram manifold learning

Junbo Peng, Chih-Wei Chang, Huiqiao Xie, Mingdong Fan, Tonghe Wang, Justin Roper, Richard L. Qiu, Xiangyang Tang, Xiaofeng Yang

Proceedings Volume 12925, 129252G (2024) https://doi.org/10.1117/12.3006947

KEYWORDS: Metals, Computed tomography, Data acquisition, Image restoration, Machine learning, CT reconstruction, Data modeling, X-ray computed tomography, Matrices, Photons

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Proceedings Article | 1 April 2024 Poster + Paper

Diffusion model-based single-scan dual-energy cone-beam CT using primary beam splitting

Junbo Peng, Chih-Wei Chang, Richard L. Qiu, Justin Roper, Tonghe Wang, Pretesh Patel, David Yu, Xiangyang Tang, Xiaofeng Yang

Proceedings Volume 12925, 129253A (2024) https://doi.org/10.1117/12.3005046

KEYWORDS: Data modeling, Diffusion, Cone beam computed tomography, Beam splitters, Tunable filters, Data acquisition, X-rays, X-ray computed tomography, Radiotherapy, Optical filters

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Proceedings Article | 4 April 2022 Poster + Paper

Single-scan half-fan DECT using static detector modulation: a preliminary study

Junbo Peng

Proceedings Volume 12031, 120312Z (2022) https://doi.org/10.1117/12.2604880

KEYWORDS: Sensors, Data modeling, Modulation, Lung, Abdomen, Head, Computed tomography, X-ray computed tomography, Modulators, Data acquisition

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