Shi L - Search Results

1

Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.

Xie H, Liu Z, Shi L, Greco K, Chen X, Zhou B, Feher A, Stendahl JC, Boutagy N, Kyriakides TC, Wang G, Sinusas AJ, Liu C. Xie H, et al. Among authors: shi l. IEEE Trans Med Imaging. 2023 May;42(5):1325-1336. doi: 10.1109/TMI.2022.3226604. Epub 2023 May 2. IEEE Trans Med Imaging. 2023. PMID: 36459599 Free PMC article.

2

Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT.

Shi L, Lu Y, Wu J, Gallezot JD, Boutagy N, Thorn S, Sinusas AJ, Carson RE, Liu C. Shi L, et al. IEEE Trans Med Imaging. 2020 Jan;39(1):119-128. doi: 10.1109/TMI.2019.2921969. Epub 2019 Jun 10. IEEE Trans Med Imaging. 2020. PMID: 31180845 Free PMC article.

3

Deep learning-based attenuation map generation for myocardial perfusion SPECT.

Shi L, Onofrey JA, Liu H, Liu YH, Liu C. Shi L, et al. Eur J Nucl Med Mol Imaging. 2020 Sep;47(10):2383-2395. doi: 10.1007/s00259-020-04746-6. Epub 2020 Mar 26. Eur J Nucl Med Mol Imaging. 2020. PMID: 32219492

4

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.

Yang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Yang J, et al. Among authors: shi l. J Nucl Med. 2021 Nov;62(11):1645-1652. doi: 10.2967/jnumed.120.256396. Epub 2021 Feb 26. J Nucl Med. 2021. PMID: 33637586 Free PMC article.

5

Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion Imaging.

Torkaman M, Yang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Torkaman M, et al. Among authors: shi l. Proc SPIE Int Soc Opt Eng. 2021 Feb;11600:116000U. doi: 10.1117/12.2580922. Epub 2021 Feb 15. Proc SPIE Int Soc Opt Eng. 2021. PMID: 33727759 Free PMC article.

6

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.

Shi L, Lu Y, Dvornek N, Weyman CA, Miller EJ, Sinusas AJ, Liu C. Shi L, et al. IEEE Trans Med Imaging. 2021 Dec;40(12):3293-3304. doi: 10.1109/TMI.2021.3082578. Epub 2021 Nov 30. IEEE Trans Med Imaging. 2021. PMID: 34018932 Free PMC article.

7

CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network.

Chen X, Zhou B, Shi L, Liu H, Pang Y, Wang R, Miller EJ, Sinusas AJ, Liu C. Chen X, et al. Among authors: shi l. J Nucl Cardiol. 2022 Oct;29(5):2235-2250. doi: 10.1007/s12350-021-02672-0. Epub 2021 Jun 3. J Nucl Cardiol. 2022. PMID: 34085168

8

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

Liu H, Wu J, Shi L, Liu Y, Miller E, Sinusas A, Liu YH, Liu C. Liu H, et al. Among authors: shi l. J Nucl Cardiol. 2022 Dec;29(6):2881-2892. doi: 10.1007/s12350-021-02817-1. Epub 2021 Oct 20. J Nucl Cardiol. 2022. PMID: 34671940

9

Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT.

Chen X, Zhou B, Xie H, Shi L, Liu H, Holler W, Lin M, Liu YH, Miller EJ, Sinusas AJ, Liu C. Chen X, et al. Among authors: shi l. Eur J Nucl Med Mol Imaging. 2022 Jul;49(9):3046-3060. doi: 10.1007/s00259-022-05718-8. Epub 2022 Feb 16. Eur J Nucl Med Mol Imaging. 2022. PMID: 35169887 Free PMC article.

10

Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study.

Torkaman M, Yang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Torkaman M, et al. Among authors: shi l. IEEE Trans Radiat Plasma Med Sci. 2022 Sep;6(7):755-765. doi: 10.1109/trpms.2021.3138372. Epub 2021 Dec 24. IEEE Trans Radiat Plasma Med Sci. 2022. PMID: 36059429 Free PMC article.

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