Harvard Catalyst Profiles

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Ali Gholipour-Baboli, Ph.D.

Co-Author

This page shows the publications co-authored by Ali Gholipour-Baboli and Lana Vasung.
Connection Strength

3.839
  1. Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development. Cereb Cortex. 2021 Jul 05; 31(8):3610-3621.
    View in: PubMed
    Score: 0.996
  2. Spatiotemporal Differences in the Regional Cortical Plate and Subplate Volume Growth during Fetal Development. Cereb Cortex. 2020 06 30; 30(8):4438-4453.
    View in: PubMed
    Score: 0.928
  3. Quantitative In vivo MRI Assessment of Structural Asymmetries and Sexual Dimorphism of Transient Fetal Compartments in the Human Brain. Cereb Cortex. 2020 03 14; 30(3):1752-1767.
    View in: PubMed
    Score: 0.910
  4. Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI. Neuroimage. 2021 Jun 26; 118316.
    View in: PubMed
    Score: 0.249
  5. A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. Med Image Anal. 2021 Jun 03; 72:102129.
    View in: PubMed
    Score: 0.247
  6. A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Trans Med Imaging. 2021 04; 40(4):1123-1133.
    View in: PubMed
    Score: 0.245
  7. Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images. Neuroimage. 2019 01 15; 185:593-608.
    View in: PubMed
    Score: 0.204
  8. Regional Brain Growth Trajectories in Fetuses with Congenital Heart Disease. Ann Neurol. 2021 01; 89(1):143-157.
    View in: PubMed
    Score: 0.059
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.