Brian S. Caffo

23 papers Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Frontiers Artif. Intell. Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti
2023	J	`jnl`	Empowering Learning: Standalone, Browser-Only Courses for Seamless Education. CoRR Babak Moghadas, Brian S. Caffo
2023	J	`jnl`	First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. Itzy E. Morales Pantoja, Lena Smirnova, Alysson R. Muotri, Karl J. Wahlin, Jeffrey Kahn, J. Lomax Boyd, David H. Gracias, Timothy D. Harris, Tzahi Cohen-Karni, Brian S. Caffo, Alexander S. Szalay, Fang Han, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung
2023	J	`jnl`	Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel
2022	J	`jnl`	Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Frontiers Artif. Intell. Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti
2020	J	`jnl`	Bayesian inference of a directional brain network model for intracranial EEG data. Comput. Stat. Data Anal. Tingting Zhang, Yinge Sun, Huazhang Li, Guofen Yan, Seiji Tanabe, Ruizhong Miao, Yaotian Wang, Brian S. Caffo, Mark S. Quigg
2020	J	`jnl`	Sparse principal component based high-dimensional mediation analysis. Comput. Stat. Data Anal. Yi Zhao, Martin A. Lindquist, Brian S. Caffo
2019	J	`jnl`	Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. NeuroImage Heather Shappell, Brian S. Caffo, James J. Pekar, Martin A. Lindquist
2019	J	`jnl`	Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c. J. Biomed. Informatics Che Ngufor, Holly Van Houten, Brian S. Caffo, Nilay D. Shah, Rozalina G. McCoy
2018	J	`jnl`	Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, James J. Pekar, Brian S. Caffo, Martin A. Lindquist
2017	J	`jnl`	An M-estimator for reduced-rank system identification. Pattern Recognit. Lett. Shaojie Chen, Kai Liu, Yuguang Yang, Yuting Xu, Seonjoo Lee, Martin A. Lindquist, Brian S. Caffo, Joshua T. Vogelstein
2016	J	`jnl`	Ten Simple Rules for Effective Statistical Practice. PLoS Comput. Biol. Robert E. Kass, Brian S. Caffo, Marie Davidian, Xiao-Li Meng, Bin Yu, Nancy Reid
2015	J	`jnl`	Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models. Comput. Stat. Data Anal. Chen Yue, Shaojie Chen, Haris I. Sair, Raag D. Airan, Brian S. Caffo
2014	J	`jnl`	Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage Martin A. Lindquist, Yuting Xu, Mary Beth Nebel, Brian S. Caffo
2014	J	`jnl`	Reduction of motion-related artifacts in resting state fMRI using aCompCor. NeuroImage John Muschelli, Mary Beth Nebel, Brian S. Caffo, Anita D. Barber, James J. Pekar, Stewart H. Mostofsky
2014	J	`jnl`	Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 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
2013	—	`conf`	Clustering of High Dimensional Longitudinal Imaging Data. PRNI Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham
2013	J	`jnl`	Effects of Working Memory Demand on Neural Mechanisms of Motor Response Selection and Control. J. Cogn. Neurosci. Anita D. Barber, Brian S. Caffo, James J. Pekar, Stewart H. Mostofsky
2013	—	`conf`	Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. PRNI Russell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich
2011	J	`jnl`	Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. NeuroImage Jeff Goldsmith, Ciprian M. Crainiceanu, Brian S. Caffo, Daniel S. Reich
2011	J	`jnl`	Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage Russell T. Shinohara, Ciprian M. Crainiceanu, Brian S. Caffo, María Inés Gaitán, Daniel S. Reich
2010	J	`jnl`	Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. NeuroImage Brian S. Caffo, Ciprian M. Crainiceanu, Guillermo Verduzco, Suresh Joel, Stewart H. Mostofsky, Susan Spear Bassett, James J. Pekar
2008	J	`jnl`	Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems. IEEE Trans. Medical Imaging Xin He, Brian S. Caffo, Eric C. Frey