Brian Caffo

Orcid: 0000-0002-0793-9497

Affiliations:
  • Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA


According to our database1, Brian Caffo authored at least 53 papers between 2004 and 2024.

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Timeline

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Bibliography

2024
Evidential Uncertainty Quantification: A Variance-Based Perspective.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference.
J. Comput. Graph. Stat., April, 2023

A machine learning based approach towards high-dimensional mediation analysis.
NeuroImage, March, 2023

First Organoid Intelligence (OI) workshop to form an OI community.
Frontiers Artif. Intell., February, 2023

Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare.
Frontiers Artif. Intell., February, 2023

Empowering Learning: Standalone, Browser-Only Courses for Seamless Education.
CoRR, 2023

Applications of Sequential Learning for Medical Image Classification.
CoRR, 2023

Learning sources of variability from high-dimensional observational studies.
CoRR, 2023


2022
A Unified Framework on Generalizability of Clinical Prediction Models.
Frontiers Artif. Intell., 2022

Editorial: Explainable artificial intelligence models and methods in finance and healthcare.
Frontiers Artif. Intell., 2022

The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks.
CoRR, 2022

Prospective Learning: Back to the Future.
CoRR, 2022

2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
PLoS Comput. Biol., 2021

2020
Rxnat: An Open-Source R Package for XNAT-Based Repositories.
Frontiers Neuroinformatics, 2020

Sparse principal component based high-dimensional mediation analysis.
Comput. Stat. Data Anal., 2020

Bayesian inference of a directional brain network model for intracranial EEG data.
Comput. Stat. Data Anal., 2020

SpineCloud: image analytics for predictive modeling of spine surgery outcomes.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2019
Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models.
NeuroImage, 2019

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.
J. Biomed. Informatics, 2019

2018
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.
NeuroImage, 2018

2017
An M-estimator for reduced-rank system identification.
Pattern Recognit. Lett., 2017

Comparing test-retest reliability of dynamic functional connectivity methods.
NeuroImage, 2017

Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging.
Brain Connect., 2017

2016
Ten Simple Rules for Effective Statistical Practice.
PLoS Comput. Biol., 2016

2015
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators.
NeuroImage, 2015

Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models.
Comput. Stat. Data Anal., 2015

Robust Portfolio Optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI.
NeuroImage, 2014

Reduction of motion-related artifacts in resting state fMRI using aCompCor.
NeuroImage, 2014

Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach.
NeuroImage, 2014

MONEYBaRL: Exploiting pitcher decision-making using Reinforcement Learning.
CoRR, 2014

2013
Ironing out the statistical wrinkles in "ten ironic rules".
NeuroImage, 2013

Effects of Working Memory Demand on Neural Mechanisms of Motor Response Selection and Control.
J. Cogn. Neurosci., 2013

Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Clustering of High Dimensional Longitudinal Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012
Biological parametric mapping accounting for random regressors with regression calibration and model II regression.
NeuroImage, 2012

A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort.
NeuroImage, 2012

Towards automatic quantitative quality control for MRI.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Functional principal component model for high-dimensional brain imaging.
NeuroImage, 2011

Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis.
NeuroImage, 2011

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis.
NeuroImage, 2011

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk.
NeuroImage, 2010

Quantifying auditory event-related responses in multichannel human intracranial recordings.
Frontiers Comput. Neurosci., 2010

2008
Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems.
IEEE Trans. Medical Imaging, 2008

A Bayesian hierarchical framework for spatial modeling of fMRI data.
NeuroImage, 2008

2007
Optimal sampling times in bioequivalence studies using a simulated annealing algorithm.
Stat. Comput., 2007

Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure.
NeuroImage, 2007

Flexible random intercept models for binary outcomes using mixtures of normals.
Comput. Stat. Data Anal., 2007

2004
Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies.
Comput. Stat. Data Anal., 2004


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