Justin R. Roper, Ph.D.
Affiliations: | 2010 | Medical Physics | Duke University, Durham, NC |
Area:
Biomedical Engineering, Oncology, RadiologyGoogle:
"Justin Roper"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Fang-Fang Yin | grad student | 2010 | Duke | |
| (On-board single photon emission computed tomography (SPECT) for biological target localization.) | ||||
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Publications
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| Peng J, Wang T, Xie H, et al. (2024) Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT. Arxiv |
| Pan S, Chang CW, Tian Z, et al. (2024) Data-Driven Volumetric CT Image Generation from Surface Structures using a Patient-Specific Deep Leaning Model. International Journal of Radiation Oncology, Biology, Physics |
| Gao Y, Xie H, Chang CW, et al. (2024) CT-based synthetic iodine map generation using conditional denoising diffusion probabilistic model. Medical Physics |
| Peng J, Chang CW, Xie H, et al. (2024) Image-domain material decomposition for dual-energy CT using unsupervised learning with data-fidelity loss. Medical Physics |
| Lei Y, Matkovic LA, Roper J, et al. (2024) Diffeomorphic transformer-based abdomen MRI-CT deformable image registration. Medical Physics |
| Lei Y, Matkovic LA, Roper J, et al. (2024) Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration. Arxiv |
| Pan S, Abouei E, Peng J, et al. (2024) Full-dose whole-body PET synthesis from low-dose PET using high-efficiency denoising diffusion probabilistic model: PET consistency model. Medical Physics |
| Chang CW, Peng J, Safari M, et al. (2024) High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling. Physics in Medicine and Biology |
| Peng J, Chang CW, Xie H, et al. (2023) Image-Domain Material Decomposition for Dual-energy CT using Unsupervised Learning with Data-fidelity Loss. Arxiv |
| Peng J, Qiu RLJ, Wynne JF, et al. (2023) CBCT-Based synthetic CT image generation using conditional denoising diffusion probabilistic model. Medical Physics |