Big GABA: Edited MR spectroscopy at 24 research sites. - Mark Mikkelsen; Peter B. Barker; Pallab K. Bhattacharyya; Maiken K. Brix; Pieter F. Buur; Kim M. Cecil; Kimberly L. Chan; David Y.-T. Chen; Alexander R. Craven; Koen Cuypers; Michael Dacko; Niall W. Duncan; et al. (NeuroImage, 2017)

Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites. - Mark Mikkelsen; Daniel Rimbault; Peter B. Barker; Pallab K. Bhattacharyya; Maiken K. Brix; Pieter F. Buur; Kim M. Cecil; Kimberly L. Chan; David Y.-T. Chen; Alexander R. Craven; Koen Cuypers; Michael Dacko; et al. (NeuroImage, 2019)

Frequency drift in MR spectroscopy at 3T. - Steve C. N. Hui; Mark Mikkelsen; Helge J. Zöllner; Vishwadeep Ahluwalia; Sarael Alcauter; Laima Baltusis; Deborah A. Barany; Laura R. Barlow; Robert Becker; Jeffrey I. Berman; Adam Berrington; Pallab K. Bhattacharyya; et al. (NeuroImage, 2021)

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. - Junqi Wang 001; Hailong Li; Gang Qu 002; Kim M. Cecil; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (Medical Image Anal., 2023)

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. - Zhiyuan Li 011; Hailong Li; Anca L. Ralescu; Jonathan R. Dillman; Mekibib Altaye; Kim M. Cecil; Nehal A. Parikh; Lili He 003 (Artif. Intell. Medicine, 2024)

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants. - Junqi Wang 001; Hailong Li; Kim M. Cecil; Mekibib Altaye; Nehal A. Parikh; Lili He 003 (Comput. Methods Programs Biomed., 2024)

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. - Hailong Li; Junqi Wang 001; Zhiyuan Li 011; Kim M. Cecil; Mekibib Altaye; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (NeuroImage, 2024)