Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. - Haochang Shou; Ani Eloyan; Mary Beth Nebel; Amanda F. Mejia; James J. Pekar; Stewart H. Mostofsky; Brian S. Caffo; Martin A. Lindquist; Ciprian M. Crainiceanu (NeuroImage, 2014)

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. - Amanda F. Mejia; Mary Beth Nebel; Haochang Shou; Ciprian M. Crainiceanu; James J. Pekar; Stewart H. Mostofsky; Brian Caffo; Martin A. Lindquist (NeuroImage, 2015)

Multivariate modeling using quantitative CT metrics may improve accuracy of diagnosis of bronchiolitis obliterans syndrome after lung transplantation. - Eduardo Barbosa Jr.; Scott Simpson; James C. Lee; Nicholas J. Tustison; James C. Gee; Haochang Shou (Comput. Biol. Medicine, 2017)

On testing for spatial correspondence between maps of human brain structure and function. - Aaron Alexander-Bloch; Haochang Shou; Siyuan Liu; Theodore D. Satterthwaite; David C. Glahn; Russell T. Shinohara; Simon N. Vandekar; Armin Raznahan (NeuroImage, 2018)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. - Dhivya Srinivasan; Güray Erus; Jimit Doshi; David A. Wolk; Haochang Shou; Mohamad Habes; Christos Davatzikos (NeuroImage, 2020)

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Zhijian Yang; Ilya M. Nasrallah; Haochang Shou; Junhao Wen 002; Jimit Doshi; Mohamad Habes; Güray Erus; Ahmed Abdulkadir; Susan M. Resnick; David A. Wolk; Christos Davatzikos (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. - Matthew T. MacLean; Qasim Jehangir; Marijana Vujkovic; Yi-An Ko; Harold Litt; Arijitt Borthakur; Hersh Sagreiya; Mark Rosen; David A. Mankoff; Mitchell D. Schnall; Haochang Shou; Julio A. Chirinos; et al. (J. Am. Medical Informatics Assoc., 2021)

Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. - Zhen Zhou 004; Dhivya Srinivasan; Hongming Li; Ahmed Abdulkadir; Haochang Shou; Christos Davatzikos; Yong Fan 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Privacy-preserving harmonization via distributed ComBat. - Andrew A. Chen; Chongliang Luo; Yong Chen 016; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

Harmonizing functional connectivity reduces scanner effects in community detection. - Andrew A. Chen; Dhivya Srinivasan; Raymond Pomponio; Yong Fan 001; Ilya M. Nasrallah; Susan M. Resnick; Lori L. Beason-Held; Christos Davatzikos; Theodore D. Satterthwaite; Dani S. Bassett; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

The Statistical Analysis of the Varying Brain. - Oliver Y. Chén; Duy Thanh Vu; Gilbert Greub; Hengyi Cao; Xingru He; Yannick Muller; Constantinos Petrovas; Haochang Shou; Viet-Dung Nguyen; Bangdong Zhi; Laurent Perez; Jean Louis Raisaro; et al. (SSP, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou 004; Hongming Li; Dhivya Srinivasan; Ahmed Abdulkadir; Ilya M. Nasrallah; Junhao Wen 002; Jimit Doshi; Güray Erus; Elizabeth Mamourian; R. Nick Bryan; David A. Wolk; Lori L. Beason-Held; et al. (NeuroImage, 2023)

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. - Fengling Hu; Andrew A. Chen; Hannah Horng; Vishnu Bashyam; Christos Davatzikos; Aaron Alexander-Bloch; Mingyao Li; Haochang Shou; Theodore D. Satterthwaite; Meichen Yu; Russell T. Shinohara (NeuroImage, 2023)

Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories. - Ioanna Skampardoni; Junhao Wen 002; Güray Erus; Haochang Shou; Konstantina S. Nikita; Christos Davatzikos (ISBI, 2024)

PARE: A framework for removal of confounding effects from any distance-based dimension reduction method. - Andrew A. Chen; Kelly Clark; Blake E. Dewey; Anna Duval; Nicole Pellegrini; Govind Nair; Youmna Jalkh; Samar Khalil; Jon Zurawski; Peter A. Calabresi; Daniel S. Reich; Rohit Bakshi; et al. (PLoS Comput. Biol., 2024)

Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories. - Vasiliki Tassopoulou; Haochang Shou; Christos Davatzikos (ICLR, 2025)

High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy. - Hanxiang Xu; Shizhuo Mu; Jingxuan Bao; Christos Davatzikos; Haochang Shou; Li Shen 001 (BioData Min., 2025)