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Grace Jianan Gang, Ph.D.
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Associate Professor of Radiology
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Department: Radiology
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Contact information
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Department of Radiology
45 Perelman School of Medicine at the University of Pennsylvania
42 3620 Hamilton Walk – Room 51A
Philadelphia, PA 19104
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45 Perelman School of Medicine at the University of Pennsylvania
42 3620 Hamilton Walk – Room 51A
Philadelphia, PA 19104
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Education:
21 a BA.Sc 20 (Engineering Science) c
2e University of Toronto, 2008.
21 a Ph.D. 23 (Biomedical Engineering) c
2e University of Toronto, 2014.
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Permanent link21 a BA.Sc 20 (Engineering Science) c
2e University of Toronto, 2008.
21 a Ph.D. 23 (Biomedical Engineering) c
2e University of Toronto, 2014.
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Description of Research Expertise
db computed tomography, cone-beam computed tomography, image quality, observer models, optimization, image reconstruction, spectral CT, dual energy CT, tomosynthesis, x-ray imaging, radiomics, deep learninge 29
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f1 Jiang X, Gang GJ, Stayman JW.: Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling. ArXiv arXiv: 2408.01519v1, Aug 2024 Notes: DOI: doi.org/10.48550/arXiv.2408.01519 14
11b Jiang X, Li S, Teng P, Gang G, Stayman JW.: Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model. ArXiv arXiv: 2407.12956v1, Jul 2024 Notes: DOI: 10.48550/arXiv.2407.12956.
154 Im JY, Halliburton SS, Mei K, Perkins AE, Wong E, Roshkovan L, Sandvold OF, Liu LP, Gang GJ, Noël PB.: Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm. Phys Med Biol 69: 115009, May 2024.
167 Shunhavanich P, Mei K, Shapira N, Stayman JW, McCollough CH, Gang G, Leng S, Geagan M, Yu L, Noël PB, Hsieh SS.: 3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment. Med Phys 51(5): 3265-3274, May 2024 Notes: DOI: 10.1002/mp.17064.
155 Ma YQ, Reynolds T, Ehtiati T, Weiss C, Hong K, Theodore N, Gang GJ, Stayman JW.: Fully automatic online geometric calibration for non-circular cone-beam CT orbits using fiducials with unknown placement. Med Phys 51(5): 3245-3264. May 2024 Notes: DOI: 10.1002/mp.17041.
185 Im JY, Halliburton SS, Mei K, Perkins AE, Wong E, Roshkovan L, Gang GJ, Noël PB.: Lifelike PixelPrint phantoms for assessing clinical image quality and dose reduction capabilities of a deep learning CT reconstruction algorithm. Proc SPIE Int Soc Opt Eng 12925: 129251O, February 2024 Notes: DOI: 10.1117/12.3006547.
136 Grace J. Gang, Yiqun Q. Ma, Leening Liu, Peter Noël, J. Webster Stayman: Multiple Focal Spots for High-Resolution Photon-Counting CT. Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography 2024.
138 Li S, Jiang X, Tivnan M, Gang GJ, Shen Y, Stayman JW.: CT reconstruction using diffusion posterior sampling conditioned on a nonlinear measurement model. J Med Imaging (Bellingham) 11(4): 043504, 2024 Notes: DOI: 10.1117/1.JMI.11.4.043504.
175 Liu LP, Pua R, Dieckmeyer M, Shapira N, Sahbaee P, Gang GJ, Litt HI, Noël PB.: Impact of patient habitus and acquisition protocol on iodine quantification in dual-source photon-counting computed tomography. J Med Imaging (Bellingham) 11(Suppl 1): S12806, 2024 Notes: DOI: 10.1117/1.JMI.11.S1.S12806.
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Selected Publications
13a Li J, Pan S, Zhang X, Lin CT, Stayman JW, Gang GJ.: Generative Adversarial Networks with Radiomics Supervision for Lung Lesion Generation. IEEE Trans Biomed Eng Aug 2024 Notes: Epub ahead of print 2024 Aug 29. DOI: 10.1109/TBME.2024.3451409.f1 Jiang X, Gang GJ, Stayman JW.: Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling. ArXiv arXiv: 2408.01519v1, Aug 2024 Notes: DOI: doi.org/10.48550/arXiv.2408.01519 14
11b Jiang X, Li S, Teng P, Gang G, Stayman JW.: Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model. ArXiv arXiv: 2407.12956v1, Jul 2024 Notes: DOI: 10.48550/arXiv.2407.12956.
154 Im JY, Halliburton SS, Mei K, Perkins AE, Wong E, Roshkovan L, Sandvold OF, Liu LP, Gang GJ, Noël PB.: Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm. Phys Med Biol 69: 115009, May 2024.
167 Shunhavanich P, Mei K, Shapira N, Stayman JW, McCollough CH, Gang G, Leng S, Geagan M, Yu L, Noël PB, Hsieh SS.: 3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment. Med Phys 51(5): 3265-3274, May 2024 Notes: DOI: 10.1002/mp.17064.
155 Ma YQ, Reynolds T, Ehtiati T, Weiss C, Hong K, Theodore N, Gang GJ, Stayman JW.: Fully automatic online geometric calibration for non-circular cone-beam CT orbits using fiducials with unknown placement. Med Phys 51(5): 3245-3264. May 2024 Notes: DOI: 10.1002/mp.17041.
185 Im JY, Halliburton SS, Mei K, Perkins AE, Wong E, Roshkovan L, Gang GJ, Noël PB.: Lifelike PixelPrint phantoms for assessing clinical image quality and dose reduction capabilities of a deep learning CT reconstruction algorithm. Proc SPIE Int Soc Opt Eng 12925: 129251O, February 2024 Notes: DOI: 10.1117/12.3006547.
136 Grace J. Gang, Yiqun Q. Ma, Leening Liu, Peter Noël, J. Webster Stayman: Multiple Focal Spots for High-Resolution Photon-Counting CT. Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography 2024.
138 Li S, Jiang X, Tivnan M, Gang GJ, Shen Y, Stayman JW.: CT reconstruction using diffusion posterior sampling conditioned on a nonlinear measurement model. J Med Imaging (Bellingham) 11(4): 043504, 2024 Notes: DOI: 10.1117/1.JMI.11.4.043504.
175 Liu LP, Pua R, Dieckmeyer M, Shapira N, Sahbaee P, Gang GJ, Litt HI, Noël PB.: Impact of patient habitus and acquisition protocol on iodine quantification in dual-source photon-counting computed tomography. J Med Imaging (Bellingham) 11(Suppl 1): S12806, 2024 Notes: DOI: 10.1117/1.JMI.11.S1.S12806.
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