Evaluation of voxel-based methods for the statistical analysis of PIB PET amyloid imaging studies in Alzheimer's disease. - Scott K. Ziolko; Lisa A. Weissfeld; William E. Klunk; Chester A. Mathis; Jessica A. Hoge; Brian J. Lopresti; Steven DeKosky; Julie C. Price (NeuroImage, 2006)

Imaging of amyloid plaques and cerebral glucose metabolism in semantic dementia and Alzheimer's disease. - Alexander Drzezga; Timo Grimmer; Gjermund Henriksen; Isabelle Stangier; Robert Perneczky; Janine Diehl-Schmid; Chester A. Mathis; William E. Klunk; Julie C. Price; Steven DeKosky; Hans-Jürgen Wester; Markus Schwaiger; et al. (NeuroImage, 2008)

Assessing the threshold for in vivo detection of amyloid-beta plaques. - Chester A. Mathis; William E. Klunk; Eric E. Abrahamson; Ronald L. Hamilton; Julie C. Price; Judith A. Saxton; Oscar L. Lopez; Steven DeKosky; Milos D. Ikonomovic (NeuroImage, 2010)

Statistical modeling of longitudinal PiB retention. - Julie C. Price; Lisa A. Weissfeld; Chester A. Mathis; Bedda L. Rosario; Ann D. Cohen; Judith A. Saxton; Beth Snitz; Michael D. Berginc; Steven DeKosky; William E. Klunk (NeuroImage, 2010)

Classification of amyloid-positivity in controls: Comparison of visual read and quantitative approaches. - Ann D. Cohen; Wenzhu Mowrey; Lisa A. Weissfeld; Howard Aizenstein; Eric McDade; James M. Mountz; Robert D. Nebes; Judith A. Saxton; Beth Snitz; Steven DeKosky; Jeff Williamson; Oscar L. Lopez; et al. (NeuroImage, 2013)

Development of a transcallosal tractography template and its application to dementia. - Derek B. Archer; Stephen A. Coombes; Nikolaus R. McFarland; Steven DeKosky; David E. Vaillancourt (NeuroImage, 2019)

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. - Zhaoyi Chen; Hansi Zhang; Xi Yang 015; Songzi Wu; Xing He 003; Jie Xu 012; Jingchuan Guo; Mattia Prosperi; Fei Wang 001; Hua Xu 001; Yong Chen 016; Hui Hu; et al. (Int. J. Medical Informatics, 2023)

Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer's Disease. - Ulyana Morar; Harold Martin; Robin Perry Mayrand; Walter Izquierdo; Elaheh Zarafshan; Parisa Forouzannezhad; Elona Unger; Mercedes Cabrerizo; Rosie E. Curiel; Monica Rosselli; Armando Barreto; Naphtali Rishe; et al. (Cogn. Comput., 2023)

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning. - Manqi Zhou; Alice S. Tang; Hao Zhang; Zhenxing Xu; Alison M. C. Ke; Chang Su; Yu Huang 018; William G. Mantyh; Michael Jaffee; Katherine P. Rankin; Steven DeKosky; Jiayu Zhou; et al. (J. Biomed. Informatics, 2025)