Partial volume correction in quantitative amyloid imaging. - Yi Su 004; Tyler M. Blazey; Abraham Z. Snyder; Marcus E. Raichle; Daniel S. Marcus; Beau M. Ances; Randall J. Bateman; Nigel J. Cairns; Patricia Aldea; Lisa Cash; Jon J. Christensen; Karl Friedrichsen; et al. (NeuroImage, 2015)

Different partial volume correction methods lead to different conclusions: An 18F-FDG-PET study of aging. - Douglas N. Greve; David H. Salat; Spencer L. Bowen; David Izquierdo-Garcia; Aaron P. Schultz; Ciprian Catana; J. Alex Becker; Claus Svarer; Gitte Moos Knudsen; Reisa A. Sperling; Keith A. Johnson (NeuroImage, 2016)

Matched signal detection on graphs: Theory and application to brain imaging data classification. - Chenhui Hu; Jorge Sepulcre; Keith A. Johnson; Georges El Fakhri; Yue M. Lu; Quanzheng Li (NeuroImage, 2016)

Harvard Aging Brain Study: Dataset and accessibility. - Alexander Dagley; Molly LaPoint; Willem Huijbers; Trey Hedden; Donald G. McLaren; Jasmeer P. Chhatwal; Kathryn V. Papp; Rebecca E. Amariglio; Deborah Blacker; Dorene M. Rentz; Keith A. Johnson; Reisa A. Sperling; et al. (NeuroImage, 2017)

The association between tau PET and retrospective cortical thinning in clinically normal elderly. - Molly LaPoint; Jasmeer P. Chhatwal; Jorge Sepulcre; Keith A. Johnson; Reisa A. Sperling; Aaron P. Schultz (NeuroImage, 2017)

A Longitudinal Model for Tau Aggregation in Alzheimer's Disease Based on Structural Connectivity. - Fan Yang; Samadrita Roy Chowdhury; Heidi I. L. Jacobs; Keith A. Johnson; Joyita Dutta (IPMI, 2019)

Graph Convolutional Neural Networks For Alzheimer's Disease Classification. - Tzu-An Song; Samadrita Roy Chowdhury; Fan Yang; Heidi I. L. Jacobs; Georges El Fakhri; Quanzheng Li; Keith A. Johnson; Joyita Dutta (ISBI, 2019)

Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers. - Michael J. Properzi; Rachel F. Buckley; Jasmeer P. Chhatwal; Michael C. Donohue; Cristina Lois; Elizabeth C. Mormino; Keith A. Johnson; Reisa A. Sperling; Aaron P. Schultz (NeuroImage, 2019)

PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. - Tzu-An Song; Fan Yang; Samadrita Roy Chowdhury; Kyung Sang Kim; Keith A. Johnson; Georges El Fakhri; Quanzheng Li; Joyita Dutta (IEEE Trans. Computational Imaging, 2019)

A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer's Disease. - Tzu-An Song; Samadrita Roy Chowdhury; Fan Yang; Heidi I. L. Jacobs; Jorge Sepulcre; Van J. Wedeen; Keith A. Johnson; Joyita Dutta (MICCAI (7), 2020)

Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults. - Matthew R. Scott; Olivia L. Hampton; Rachel F. Buckley; Jasmeer P. Chhatwal; Bernard J. Hanseeuw; Heidi I. L. Jacobs; Michael J. Properzi; Justin S. Sanchez; Keith A. Johnson; Reisa A. Sperling; Aaron P. Schultz (NeuroImage, 2020)

Longitudinal predictive modeling of tau progression along the structural connectome. - Fan Yang; Samadrita Roy Chowdhury; Heidi I. L. Jacobs; Jorge Sepulcre; Van J. Wedeen; Keith A. Johnson; Joyita Dutta (NeuroImage, 2021)

PET image denoising based on denoising diffusion probabilistic models. - Kuang Gong; Keith A. Johnson; Georges El Fakhri; Quanzheng Li; Tinsu Pan (CoRR, 2022)

TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. - Se-In Jang; Cristina Lois; Emma Thibault; J. Alex Becker; Yafei Dong; Marc D. Normandin; Julie C. Price; Keith A. Johnson; Georges El Fakhri; Kuang Gong (CoRR, 2023)

Dual Prompting for Diverse Count-Level Pet Denoising. - Xiaofeng Liu 001; Yongsong Huang; Thibault Marin; Yanis Chemli; Samira Vafay Eslahi; Amal Tiss; Keith A. Johnson; Georges El Fakhri; Jinsong Ouyang (ISBI, 2025)

Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm. - Roos J. Jutten; Daniel Soberanes; Cassidy P. Molinare; Stephanie Hsieh; Michelle E. Farrell; Aaron S. Schultz; Dorene M. Rentz; Gad A. Marshall; Keith A. Johnson; Reisa A. Sperling; Rebecca E. Amariglio; Kathryn V. Papp (npj Digit. Medicine, 2025)

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. - Colin Birkenbihl; Madison Cuppels; Rory T. Boyle; Hannah M. Klinger; Oliver Langford; Gillian T. Coughlan; Michael J. Properzi; Jasmeer P. Chhatwal; Julie C. Price; Aaron P. Schultz; Dorene M. Rentz; Rebecca E. Amariglio; et al. (Brain Informatics, 2025)