Yu Meng

Affiliations:
  • University of North Carolina at Chapel Hill, NC, USA


According to our database1, Yu Meng authored at least 16 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2019
Computational neuroanatomy of baby brains: A review.
NeuroImage, 2019

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.
NeuroImage, 2019

2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Computational Cortical Surface Analysis for Study of Early Brain Development.
PhD thesis, 2017

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Learning-Based Topological Correction for Infant Cortical Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Automatic parcellation of cortical surfaces using random forests.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.
NeuroImage, 2014


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