5-HT1A binding of [18F]MEFWAY in the rhesus monkey. - Dustin W. Wooten; Ansel T. Hillmer; Jeffrey M. Moirano; Dana Tudorascu; Dhanabalan Murali; Todd E. Barnhart; Ned H. Kalin; Richard J. Davidson; Jogeshwar Mukherjee; Mary L. Schneider; Bradley T. Christian (NeuroImage, 2010)

High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation. - Yu-Chien Wu; Aaron S. Field; Ian D. Duncan; Alexey A. Samsonov; Yoichi Kondo; Dana Tudorascu; Andrew L. Alexander (NeuroImage, 2011)

Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. - Svyatoslav Vergun; Alok Deshpande; Timothy B. Meier; Jie Song 009; Dana Tudorascu; Veena A. Nair; Vikas Singh; Bharat B. Biswal; Mary Elizabeth Meyerand; Rasmus M. Birn; Vivek Prabhakaran (Frontiers Comput. Neurosci., 2013)

5-HT1A sex based differences in Bmax, in vivo KD, and BPND in the nonhuman primate. - Dustin W. Wooten; Ansel T. Hillmer; Jeffrey M. Moirano; Dana Tudorascu; Elizabeth O. Ahlers; Maxim S. Slesarev; Todd E. Barnhart; Jogeshwar Mukherjee; Mary L. Schneider; Bradley T. Christian (NeuroImage, 2013)

Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. - Davneet S. Minhas; Zixi Yang; John Muschelli; Charles M. Laymon; Joseph M. Mettenburg; Matthew D. Zammit; Sterling C. Johnson; Chester A. Mathis; Ann D. Cohen; Benjamin L. Handen; William E. Klunk; Ciprian M. Crainiceanu; et al. (IPMU (3), 2020)

Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning. - Mahbaneh Eshaghzadeh Torbati; Dana L. Tudorascu; Davneet S. Minhas; Pauline Maillard; Charles DeCarli; Seong Jae Hwang (ICCVW, 2021)

Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. - Anthony Sicilia; Xingchen Zhao; Davneet S. Minhas; Erin O'Connor; Howard J. Aizenstein; William E. Klunk; Dana L. Tudorascu; Seong Jae Hwang (ISBI, 2021)

Robust White Matter Hyperintensity Segmentation On Unseen Domain. - Xingchen Zhao; Anthony Sicilia; Davneet S. Minhas; Erin O'Connor; Howard J. Aizenstein; William E. Klunk; Dana L. Tudorascu; Seong Jae Hwang (ISBI, 2021)

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Ghasan Ahmad; Erin O'Connor; John Muschelli; Charles M. Laymon; Zixi Yang; Ann D. Cohen; Howard J. Aizenstein; William E. Klunk; Bradley T. Christian; Seong Jae Hwang; et al. (NeuroImage, 2021)

PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. - Matthew D. Zammit; Dana L. Tudorascu; Charles M. Laymon; Sigan L. Hartley; Shahid H. Zaman; Beau M. Ances; Sterling C. Johnson; Charles K. Stone; Chester A. Mathis; William E. Klunk; Ann D. Cohen; Benjamin L. Handen; et al. (NeuroImage, 2021)

Identifying sex-specific risk architectures for predicting amyloid deposition using neural networks. - Linghai Wang; Antonija Kolobaric; Howard Aizenstein; Brian J. Lopresti; Dana Tudorascu; Beth Snitz; William E. Klunk; Minjie Wu (NeuroImage, 2023)

MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Charles M. Laymon; Pauline Maillard; James D. Wilson; Chang-Le Chen; Ciprian M. Crainiceanu; Charles DeCarli; Seong Jae Hwang; Dana L. Tudorascu (Medical Image Anal., 2023)

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Ahmad P. Tafti; Charles DeCarli; Dana L. Tudorascu; Seong Jae Hwang (MICCAI (2), 2024)

NetBat: A network-driven harmonization method for structural connectivity. - Gustav R. Sjobeck; Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Charles DeCarli; James D. Wilson; Dana L. Tudorascu (NeuroImage, 2025)