Carlos Cruchaga

According to our database, Carlos Cruchaga authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Fuhai Li

CoRR, 2024

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, Yixin Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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, Fuhai Li

CoRR, 2023

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach.

Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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, Stephen P. Salloway, Igor Yakushev, John C. Morris, Beau M. Ances

NeuroImage, 2022

2020

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.

Diego Castillo-Barnes, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN)

Inf. Fusion, 2020