Jie Shi

Orcid: 0000-0002-9095-0557

Affiliations:
  • Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA


According to our database1, Jie Shi authored at least 23 papers between 2011 and 2021.

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Bibliography

2021
Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal., 2021

2020
Hyperbolic Wasserstein Distance for Shape Indexing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2018
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis.
Medical Image Anal., 2017

Cranial thickness changes in early childhood.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Shape Analysis with Hyperbolic Wasserstein Distance.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry.
Neuroinformatics, 2015

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry.
NeuroImage, 2015

A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.
Medical Image Anal., 2015

2014
Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Characterizing human retinotopic mapping with conformal geometry: a preliminary study.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus.
NeuroImage, 2013

A Heat Kernel Based Cortical Thickness Estimation Algorithm.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

2012
Brain Surface Conformal Parameterization With the Ricci Flow.
IEEE Trans. Medical Imaging, 2012

Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011


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