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Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.

M. Torkaman, J. Yang, L. Shi, R. Wang, E. Miller, A. Sinusas, C. Liu, G. Gullberg, and Y. Seo. Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)

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Huili Shi

Lei Shi

Jianmin Shi

Chun Shi

Other publications of authors with the same name

Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation.L. Shi, T. Syeda-Mahmood, and T. Baldwin. NAACL-HLT, page 3457-3463. Association for Computational Linguistics, (2022)Approximate computation based on NAND-SPIN MRAM for CNN on-chip training.Z. Hou, L. Shi, B. Wang, and Z. Wang. NANOARCH, page 14:1-14:2. ACM, (2022)Correlation Guided Multi-teacher Knowledge Distillation.L. Shi, N. Jiang, J. Tang, and X. Huang. ICONIP (4), volume 14450 of Lecture Notes in Computer Science, page 562-574. Springer, (2023)Low-dose CT image processing using artifact suppressed dictionary learning.L. Shi, Y. Chen, H. Shu, L. Luo, C. Toumoulin, and J. Coatrieux. ISBI, page 1127-1130. IEEE, (2014)TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.X. Guo, L. Shi, X. Chen, Q. Liu, B. Zhou, H. Xie, Y. Liu, R. Palyo, E. Miller, A. Sinusas and 4 other author(s). CoRR, (2024)Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.M. Torkaman, J. Yang, L. Shi, R. Wang, E. Miller, A. Sinusas, C. Liu, G. Gullberg, and Y. Seo. Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study.L. Shi, D. Rajan, S. Abedin, M. Yellapragada, D. Beymer, and E. Dehghan. MIDL, volume 121 of Proceedings of Machine Learning Research, page 743-754. PMLR, (2020)Self-Regulated Data-Free Knowledge Amalgamation for Text Classification.P. Vijayaraghavan, H. Wang, L. Shi, T. Baldwin, D. Beymer, and E. Degan. NAACL (Industry Track), page 491-502. Association for Computational Linguistics, (2024)Data-free Model Fusion with Generator Assistants.L. Shi, P. Vijayaraghavan, and E. Degan. CVPR Workshops, page 7731-7739. IEEE, (2024)Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network.H. Xie, Z. Liu, L. Shi, K. Greco, X. Chen, B. Zhou, A. Feher, J. Stendahl, N. Boutagy, T. Kyriakides and 3 other author(s). CoRR, (2022)

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Disambiguation of "Shi, Luyao"

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Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.

Please choose a person to relate this publication to

Huili Shi

Lei Shi

Lei Shi

Jianmin Shi

Chun Shi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shi, Luyao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.

Please choose a person to relate this publication to

Huili Shi

Lei Shi

Lei Shi

Jianmin Shi

Chun Shi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.