F. DuBois Bowman

According to our database, F. DuBois Bowman authored at least 16 papers between 2004 and 2020.

Collaborative distances:

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

2020

Detecting and testing altered brain connectivity networks with k-partite network topology.

Shuo Chen, F. DuBois Bowman, Yishi Xing

Comput. Stat. Data Anal., 2020

2018

Connectivity in fMRI: Blind Spots and Breakthroughs.

Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy

IEEE Trans. Medical Imaging, 2018

On the Reliability of Individual Brain Activity Networks.

Ben Cassidy, F. DuBois Bowman, Caroline D. Rae, Victor Solo

IEEE Trans. Medical Imaging, 2018

Cortical Thinning and Cognitive Impairment in Parkinson's Disease without Dementia.

Lijun Zhang, Ming Wang, Nicholas W. Sterling, Eun-Young Lee, Paul J. Eslinger, Daymond Wagner, Guangwei Du, Mechelle Lewis, Young Truong, F. DuBois Bowman, Xuemei Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks.

Phebe Brenne Kemmer, Yikai Wang, F. DuBois Bowman, Helen S. Mayberg, Ying Guo

Brain Connect., 2018

2016

A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs.

Jian Kang, F. DuBois Bowman, Helen S. Mayberg, Han Liu

NeuroImage, 2016

White matter tract covariance patterns predict age-declining cognitive abilities.

Yunglin Gazes, F. DuBois Bowman, Qolamreza R. Razlighi, Deirdre O'Shea, Yaakov Stern, Christian G. Habeck

NeuroImage, 2016

2015

A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity.

Wenqiong Xue, F. DuBois Bowman, Anthony V. Pileggi, Andrew R. Mayer

Frontiers Comput. Neurosci., 2015

2012

Determining functional connectivity using fMRI data with diffusion-based anatomical weighting.

F. DuBois Bowman, Lijun Zhang, Gordana Derado, Shuo Chen

NeuroImage, 2012

2011

A novel support vector classifier for longitudinal high-dimensional data and its application to neuroimaging data.

Shuo Chen, F. DuBois Bowman

Stat. Anal. Data Min., 2011

2008

Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol.

Ying Guo, F. DuBois Bowman

NeuroImage, 2008

A Bayesian hierarchical framework for spatial modeling of fMRI data.

F. DuBois Bowman, Brian Caffo, Susan Spear Bassett, Clint Kilts

NeuroImage, 2008

Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images.

Gordana Derado, Kichun Sky Lee, Orietta Nicolis, F. DuBois Bowman, Mary Newell, Fabrizio F. Rugger, Brani Vidakovic

Proceedings of the Bioinformatics Research and Applications, 2008

2007

Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images.

Gordana Derado, F. DuBois Bowman, Rajan Patel, Mary Newell, Brani Vidakovic

Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

2006

Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data.

Rajan S. Patel, Dimitri Van De Ville, F. DuBois Bowman

NeuroImage, 2006

2004

Identifying spatial relationships in neural processing using a multiple classification approach.

F. DuBois Bowman, Rajan Patel

NeuroImage, 2004