Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. - Diego Castillo-Barnes; Li Su 002; Javier Ramírez 001; Diego Salas-Gonzalez; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Fermín Segovia; Andrés Ortiz 001; Carlos Cruchaga; Martin R. Farlow; Chengjie Xiong; Neil R. Graff-Radford; et al. (Inf. Fusion, 2020)

Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease. - Peter R. Millar; Patrick H. Luckett; Brian A. Gordon; Tammie L. S. Benzinger; Suzanne E. Schindler; Anne M. Fagan; Carlos Cruchaga; Randall J. Bateman; Ricardo Allegri; Mathias Jucker; Jae-Hong Lee; Hiroshi Mori; et al. (NeuroImage, 2022)

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. - Kenneth Smith 003; Michael Chan; John Brandenburg; Katarina A Jones; Shawn R. Campagna; Michael Garvin; Alan R. Templeton; Daniel A. Jacobson; Carlos Cruchaga; Sharlee Climer (BIBM, 2023)

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. - Zehao Dong; Muhan Zhang; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2023)

Associations between age, sex, APOE genotype, and regional vascular physiology in typically aging adults. - Nikou L. Damestani; John Jacoby; Shrikanth M. Yadav; Allison E. Lovely; Aurea Michael; Melissa Terpstra; Marziye Eshghi; Barnaly Rashid; Carlos Cruchaga; David H. Salat; Meher R. Juttukonda (NeuroImage, 2023)

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. - Zehao Dong; Muhan Zhang; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Fuhai Li 001; Yixin Chen 001 (ICLR, 2024)

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. - Zehao Dong; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Muhan Zhang; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2024)

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling. - Heming Zhang 002; Tim Xu; Dekang Cao; Shunning Liang; Lars Schimmelpfennig; Levi Kaster; Di Huang; Carlos Cruchaga; Guangfu Li; Michael A. Province; Yixin Chen 001; Philip R. O. Payne; et al. (CoRR, 2025)