Brian S. Caffo

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 11

Top Topics

High Dimensional

Functional Connectivity

Artificial Intelligence

Empirical Bayes

Top Venues

Comput. Stat. Data Anal.

Frontiers Artif. Intell.

Publications

Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti
Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Frontiers Artif. Intell. 6 (2023)
Babak Moghadas, Brian S. Caffo
Empowering Learning: Standalone, Browser-Only Courses for Seamless Education. CoRR (2023)
Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. 32 (2) (2023)
Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti
Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Frontiers Artif. Intell. 5 (2022)
Yi Zhao, Martin A. Lindquist, Brian S. Caffo
Sparse principal component based high-dimensional mediation analysis. Comput. Stat. Data Anal. 142 (2020)
Tingting Zhang, Yinge Sun, Huazhang Li, Guofen Yan, Seiji Tanabe, Ruizhong Miao, Yaotian Wang, Brian S. Caffo, Mark S. Quigg
Bayesian inference of a directional brain network model for intracranial EEG data. Comput. Stat. Data Anal. 144 (2020)
Heather Shappell, Brian S. Caffo, James J. Pekar, Martin A. Lindquist
Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. NeuroImage 191 (2019)
Che Ngufor, Holly Van Houten, Brian S. Caffo, Nilay D. Shah, Rozalina G. McCoy
Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c. J. Biomed. Informatics 89 (2019)
Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, James J. Pekar, Brian S. Caffo, Martin A. Lindquist
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage 172 (2018)
Shaojie Chen, Kai Liu, Yuguang Yang, Yuting Xu, Seonjoo Lee, Martin A. Lindquist, Brian S. Caffo, Joshua T. Vogelstein
An M-estimator for reduced-rank system identification. Pattern Recognit. Lett. 86 (2017)
Robert E. Kass, Brian S. Caffo, Marie Davidian, Xiao-Li Meng, Bin Yu, Nancy Reid
Ten Simple Rules for Effective Statistical Practice. PLoS Comput. Biol. 12 (6) (2016)
Chen Yue, Shaojie Chen, Haris I. Sair, Raag Airan, Brian S. Caffo
Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models. Comput. Stat. Data Anal. 89 (2015)
John Muschelli, Mary Beth Nebel, Brian S. Caffo, Anita D. Barber, James J. Pekar, Stewart H. Mostofsky
Reduction of motion-related artifacts in resting state fMRI using aCompCor. NeuroImage 96 (2014)
Haochang Shou, Ani Eloyan, Mary Beth Nebel, Amanda F. Mejia, James J. Pekar, Stewart H. Mostofsky, Brian S. Caffo, Martin A. Lindquist, Ciprian M. Crainiceanu
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 102 (2014)
Martin A. Lindquist, Yuting Xu, Mary Beth Nebel, Brian S. Caffo
Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage 101 (2014)
Anita D. Barber, Brian S. Caffo, James J. Pekar, Stewart H. Mostofsky
Effects of Working Memory Demand on Neural Mechanisms of Motor Response Selection and Control. J. Cogn. Neurosci. 25 (8) (2013)
Russell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich
Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. PRNI (2013)
Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham
Clustering of High Dimensional Longitudinal Imaging Data. PRNI (2013)
Jeff Goldsmith, Ciprian M. Crainiceanu, Brian S. Caffo, Daniel S. Reich
Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. NeuroImage 57 (2) (2011)
Russell T. Shinohara, Ciprian M. Crainiceanu, Brian S. Caffo, María Inés Gaitán, Daniel S. Reich
Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage 57 (4) (2011)
Brian S. Caffo, Ciprian M. Crainiceanu, Guillermo Verduzco, Suresh Joel, Stewart H. Mostofsky, Susan Spear Bassett, James J. Pekar
Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. NeuroImage 51 (3) (2010)
Xin He, Brian S. Caffo, Eric C. Frey
Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems. IEEE Trans. Medical Imaging 27 (10) (2008)