Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth. - Theodore D. Satterthwaite; Kosha Ruparel; James Loughead; Mark A. Elliott; Raphael T. Gerraty; Monica E. Calkins; Hakon Hakonarson; Ruben C. Gur; Raquel E. Gur; Daniel H. Wolf (NeuroImage, 2012)

Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth. - Theodore D. Satterthwaite; Daniel H. Wolf; James Loughead; Kosha Ruparel; Mark A. Elliott; Hakon Hakonarson; Ruben C. Gur; Raquel E. Gur (NeuroImage, 2012)

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. - Theodore D. Satterthwaite; Mark A. Elliott; Raphael T. Gerraty; Kosha Ruparel; James Loughead; Monica E. Calkins; Simon B. Eickhoff; Hakon Hakonarson; Ruben C. Gur; Raquel E. Gur; Daniel H. Wolf (NeuroImage, 2013)

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. - Theodore D. Satterthwaite; Daniel H. Wolf; Kosha Ruparel; Güray Erus; Mark A. Elliott; Simon B. Eickhoff; Efstathios D. Gennatas; Chad Jackson; Karthik Prabhakaran; Alex R. Smith; Hakon Hakonarson; Ragini Verma; et al. (NeuroImage, 2013)

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. - Rastko Ciric; Daniel H. Wolf; Jonathan D. Power; David R. Roalf; Graham L. Baum; Kosha Ruparel; Russell T. Shinohara; Mark A. Elliott; Simon B. Eickhoff; Christos Davatzikos; Ruben C. Gur; Raquel E. Gur; et al. (NeuroImage, 2017)

Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI. - Zhengjun Li; Marta Vidorreta; Natalie Katchmar; David C. Alsop; Daniel H. Wolf; John A. Detre (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)

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)