Harvard Catalyst Profiles

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Martha Elizabeth Shenton, Ph.D.

Co-Author

This page shows the publications co-authored by Martha Shenton and Lipeng Ning.
Connection Strength

0.634
  1. Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". Neuroimage. 2016 11 15; 142:696.
    View in: PubMed
    Score: 0.177
  2. A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. Neuroimage. 2016 Jan 15; 125:386-400.
    View in: PubMed
    Score: 0.168
  3. Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models. Brain Imaging Behav. 2020 Aug; 14(4):981-997.
    View in: PubMed
    Score: 0.058
  4. Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. Neuroimage. 2019 01 01; 184:180-200.
    View in: PubMed
    Score: 0.051
  5. Advanced diffusion imaging for assessing normal white matter development in neonates and characterizing aberrant development in congenital heart disease. Neuroimage Clin. 2018; 19:360-373.
    View in: PubMed
    Score: 0.050
  6. Multi-site harmonization of diffusion MRI data in a registration framework. Brain Imaging Behav. 2018 02; 12(1):284-295.
    View in: PubMed
    Score: 0.049
  7. Inter-site and inter-scanner diffusion MRI data harmonization. Neuroimage. 2016 07 15; 135:311-23.
    View in: PubMed
    Score: 0.043
  8. Maximum entropy estimation of glutamate and glutamine in MR spectroscopic imaging. Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):749-56.
    View in: PubMed
    Score: 0.037
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

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.