Harvard Catalyst Profiles

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Kuang Gong, Ph.D.

Concepts

This page shows the publications Kuang Gong has written about Humans.
Connection Strength

0.115
  1. Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior. IEEE Trans Med Imaging. 2022 03; 41(3):680-689.
    View in: PubMed
    Score: 0.011
  2. The Evolution of Image Reconstruction in PET: From Filtered Back-Projection to Artificial Intelligence. PET Clin. 2021 Oct; 16(4):533-542.
    View in: PubMed
    Score: 0.011
  3. A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records. Eur J Radiol. 2021 Jun; 139:109583.
    View in: PubMed
    Score: 0.010
  4. Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging. Eur J Nucl Med Mol Imaging. 2021 05; 48(5):1351-1361.
    View in: PubMed
    Score: 0.010
  5. Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning. NMR Biomed. 2022 04; 35(4):e4224.
    View in: PubMed
    Score: 0.009
  6. PET Image Reconstruction Using Deep Image Prior. IEEE Trans Med Imaging. 2019 07; 38(7):1655-1665.
    View in: PubMed
    Score: 0.009
  7. Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images. Phys Med Biol. 2018 06 13; 63(12):125011.
    View in: PubMed
    Score: 0.009
  8. Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity. IEEE Trans Med Imaging. 2018 04; 37(4):955-965.
    View in: PubMed
    Score: 0.008
  9. Designing a compact high performance brain PET scanner-simulation study. Phys Med Biol. 2016 05 21; 61(10):3681-97.
    View in: PubMed
    Score: 0.007
  10. On the assessment of spatial resolution of PET systems with iterative image reconstruction. Phys Med Biol. 2016 Mar 07; 61(5):N193-202.
    View in: PubMed
    Score: 0.007
  11. Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans Med Imaging. 2019 03; 38(3):675-685.
    View in: PubMed
    Score: 0.004
  12. Populational and individual information based PET image denoising using conditional unsupervised learning. Phys Med Biol. 2021 07 19; 66(15).
    View in: PubMed
    Score: 0.003
  13. Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network. Neuroimage. 2021 10 15; 240:118380.
    View in: PubMed
    Score: 0.003
  14. Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J Biomed Health Inform. 2020 12; 24(12):3529-3538.
    View in: PubMed
    Score: 0.003
  15. Generative adversarial network based regularized image reconstruction for PET. Phys Med Biol. 2020 06 23; 65(12):125016.
    View in: PubMed
    Score: 0.002
  16. MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition. Med Phys. 2020 Jul; 47(7):3064-3077.
    View in: PubMed
    Score: 0.002
  17. Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network. Phys Med Biol. 2019 10 16; 64(20):205015.
    View in: PubMed
    Score: 0.002
  18. PET image denoising using unsupervised deep learning. Eur J Nucl Med Mol Imaging. 2019 Dec; 46(13):2780-2789.
    View in: PubMed
    Score: 0.002
  19. Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans Med Imaging. 2018 06; 37(6):1478-1487.
    View in: PubMed
    Score: 0.002
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.