Phantom-based MRI corrections and power to track brain change. - Christopher R. K. Ching; Xue Hua; Chadwick P. Ward; Jeffrey L. Gunter; Matt A. Bernstein; Clifford R. Jack; Michael W. Weiner; Paul M. Thompson (ISBI, 2012)

Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials. - Xue Hua; Derrek P. Hibar; Christopher R. K. Ching; Christina P. Boyle; Priya Rajagopalan; Boris Gutman; Alex D. Leow; Arthur W. Toga; Clifford R. Jack Jr.; Danielle J. Harvey; Michael W. Weiner; Paul M. Thompson (NeuroImage, 2013)

Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis. - Boris A. Gutman; Neda Jahanshad; Christopher R. K. Ching; Yalin Wang 001; Peter V. Kochunov; Thomas E. Nichols; Paul M. Thompson (ISBI, 2015)

Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. - Chenyang Tao; Thomas E. Nichols; Xue Hua; Christopher R. K. Ching; Edmund T. Rolls; Paul M. Thompson; Jianfeng Feng (NeuroImage, 2017)

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. - Dmitry Petrov; Boris A. Gutman; Egor Kuznetsov; Christopher R. K. Ching; Kathryn I. Alpert; Artemis Zavaliangos-Petropulu; Dmitry Isaev; Jessica A. Turner; Theo G. M. van Erp; Lei Wang 032; Lianne Schmaal; Dick J. Veltman; et al. (ShapeMI@MICCAI, 2018)

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport. - Ling-Li Zeng; Christopher R. K. Ching; Zvart Abaryan; Sophia I. Thomopoulos; Kai Gao 011; Alyssa H. Zhu; Anjanibhargavi Ragothaman; Faisal Rashid; Marc Harrison; Lauren E. Salminen; Brandalyn C. Riedel; Neda Jahanshad; et al. (MLCN/RNO-AI@MICCAI, 2020)

A comparison of methods to harmonize cortical thickness measurements across scanners and sites. - Delin Sun; Gopalkumar Rakesh; Courtney C. Haswell; Mark W. Logue; C. Lexi Baird; Erin O'Leary; Andrew S. Cotton; Hong Xie; Marijo B. Tamburrino; Tian Chen; Emily L. Dennis; Neda Jahanshad; et al. (NeuroImage, 2022)

ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. - Jessica A. Turner; Vince D. Calhoun; Paul M. Thompson; Neda Jahanshad; Christopher R. K. Ching; Sophia I. Thomopoulos; Eric Verner; Gregory P. Strauss; Anthony O. Ahmed; Matthew D. Turner; Sunitha Basodi; Judith M. Ford; et al. (Neuroinformatics, 2022)

Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry. - Leila Nabulsi; Bramsh Qamar Chandio; Genevieve McPhilemy; Fiona M. Martyn; Gloria M. P. Roberts; Brian Hallahan; Udo Dannlowski; Tilo Kircher; Benno Haarman; Philip B. Mitchell; Colm McDonald; Dara M. Cannon; et al. (SIPAIM, 2023)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. - Vladimir Belov; Tracy Erwin-Grabner; Ling-Li Zeng; Christopher R. K. Ching; André Aleman; Alyssa R. Amod; Zeynep Basgoze; Francesco Benedetti; Bianca Besteher; Katharina Brosch; Robin Bülow; Romain Colle; et al. (CoRR, 2023)