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)

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. - Raymond Pomponio; Güray Erus; Mohamad Habes; Jimit Doshi; Dhivya Srinivasan; Elizabeth Mamourian; Vishnu Bashyam; Ilya M. Nasrallah; Theodore D. Satterthwaite; Yong Fan 001; Lenore J. Launer; Colin L. Masters; et al. (NeuroImage, 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 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)

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

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)

Computing personalized brain functional networks from fMRI using self-supervised deep learning. - Hongming Li; Dhivya Srinivasan; Chuanjun Zhuo; Zaixu Cui; Raquel E. Gur; Ruben C. Gur; Desmond J. Oathes; Christos Davatzikos; Theodore D. Satterthwaite; Yong Fan 001 (Medical Image Anal., 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou; 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)