Christopher R. K. Ching

According to our database1, Christopher R. K. Ching authored at least 10 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, 2023

Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2022
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.
Neuroinformatics, 2022

A comparison of methods to harmonize cortical thickness measurements across scanners and sites.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
NeuroImage, 2022

2020
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2018
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models.
Proceedings of the Shape in Medical Imaging, 2018

2017
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
NeuroImage, 2017

2015
Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013
Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials.
NeuroImage, 2013

2012
Phantom-based MRI corrections and power to track brain change.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012


  Loading...