Brian Caffo

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 14

Top Topics

Predictive Modeling

Functional Connectivity

Generalization Error

Top Venues

Frontiers Neuroinformatics

Medical Imaging: Image-Guided Procedures

Publications

Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig K. Jones
Evidential Uncertainty Quantification: A Variance-Based Perspective. WACV (2024)
Tanmay Nath, Brian Caffo, Tor D. Wager, Martin A. Lindquist
A machine learning based approach towards high-dimensional mediation analysis. NeuroImage 268 (2023)
Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig Jones
Evidential Uncertainty Quantification: A Variance-Based Perspective. CoRR (2023)
Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
Learning sources of variability from high-dimensional observational studies. CoRR (2023)
Sohaib Naim, Brian Caffo, Haris I. Sair, Craig K. Jones
Applications of Sequential Learning for Medical Image Classification. CoRR (2023)
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
Prospective Learning: Principled Extrapolation to the Future. CoLLAs (2023)
Bohua Wan, Brian Caffo, S. Swaroop Vedula
A Unified Framework on Generalizability of Clinical Prediction Models. Frontiers Artif. Intell. 5 (2022)
Jacob Renn, Ian Sotnek, Benjamin Harvey, Brian Caffo
The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks. CoRR (2022)
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
Prospective Learning: Back to the Future. CoRR (2022)
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Joshua T. Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17 (9) (2021)
Tharindu De Silva, S. Swaroop Vedula, Alexander Perdomo-Pantoja, Rohan Vijayan, Sophia A. Doerr, Ali Uneri, Runze Han, Michael D. Ketcha, R. L. Skolasky Jr., Brian Caffo, Greg Hager, T. Witham, Nicholas Theodore, Jeffrey H. Siewerdsen
SpineCloud: image analytics for predictive modeling of spine surgery outcomes. Medical Imaging: Image-Guided Procedures (2020)
Adrian Gherman, John Muschelli, Brian Caffo, Ciprian M. Crainiceanu
Rxnat: An Open-Source R Package for XNAT-Based Repositories. Frontiers Neuroinformatics 14 (2020)
Maleeha F. Syed, Martin A. Lindquist, Jay J. Pillai, Shruti Agarwal, Sachin K. Gujar, Ann S. Choe, Brian Caffo, Haris I. Sair
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. 7 (10) (2017)
Ann S. Choe, Mary Beth Nebel, Anita D. Barber, Jessica R. Cohen, Yuting Xu, James J. Pekar, Brian Caffo, Martin A. Lindquist
Comparing test-retest reliability of dynamic functional connectivity methods. NeuroImage 158 (2017)
Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage 112 (2015)
Huitong Qiu, Fang Han, Han Liu, Brian Caffo
Robust Portfolio Optimization. NIPS (2015)
Huitong Qiu, Sheng Xu, Fang Han, Han Liu, Brian Caffo
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes. ICML (2015)
Gagan Sidhu, Brian Caffo
MONEYBaRL: Exploiting pitcher decision-making using Reinforcement Learning. CoRR (2014)
Bruno M. Jedynak, Andrew Lang, Bo Liu, Elyse Katz, Yanwei Zhang, Bradley T. Wyman, David Raunig, C. Pierre Jedynak, Brian Caffo, Jerry L. Prince
A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort. NeuroImage 63 (3) (2012)
Dana Frances Boatman-Reich, Piotr J. Franaszczuk, Anna Korzeniewska, Brian Caffo, Eva K. Ritzl, Sarah Colwell, Nathan E. Crone
Quantifying auditory event-related responses in multichannel human intracranial recordings. Frontiers Comput. Neurosci. 4 (2010)
F. DuBois Bowman, Brian Caffo, Susan Spear Bassett, Clint Kilts
A Bayesian hierarchical framework for spatial modeling of fMRI data. NeuroImage 39 (1) (2008)
Brian S. Schwartz, Sining Chen, Brian Caffo, Walter F. Stewart, Karen I. Bolla, David M. Yousem, Christos Davatzikos
Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure. NeuroImage 37 (2) (2007)