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2020 – today
- 2020
[j14]Shuo Chen, F. DuBois Bowman, Yishi Xing:
Detecting and testing altered brain connectivity networks with k-partite network topology. Comput. Stat. Data Anal. 141: 109-122 (2020)
2010 – 2019
- 2018
- [j13]Phebe Brenne Kemmer, Yikai Wang, F. DuBois Bowman, Helen S. Mayberg, Ying Guo:
Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. Brain Connect. 8(10): 579-594 (2018) - [j12]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:
Cortical Thinning and Cognitive Impairment in Parkinson's Disease without Dementia. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 570-580 (2018) - [j11]Ben Cassidy, F. DuBois Bowman, Caroline D. Rae, Victor Solo:
On the Reliability of Individual Brain Activity Networks. IEEE Trans. Medical Imaging 37(2): 649-662 (2018) - [j10]Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy:
Connectivity in fMRI: Blind Spots and Breakthroughs. IEEE Trans. Medical Imaging 37(7): 1537-1550 (2018) - 2016
- [j9]Yunglin Gazes, F. DuBois Bowman, Qolamreza R. Razlighi, Deirdre O'Shea, Yaakov Stern, Christian G. Habeck:
White matter tract covariance patterns predict age-declining cognitive abilities. NeuroImage 125: 53-60 (2016) - [j8]Jian Kang, F. DuBois Bowman, Helen S. Mayberg, Han Liu:
A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs. NeuroImage 141: 431-441 (2016) - 2015
- [j7]Wenqiong Xue, F. DuBois Bowman, Anthony V. Pileggi, Andrew R. Mayer:
A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity. Frontiers Comput. Neurosci. 9: 22 (2015) - 2012
- [j6]F. DuBois Bowman, Lijun Zhang, Gordana Derado, Shuo Chen:
Determining functional connectivity using fMRI data with diffusion-based anatomical weighting. NeuroImage 62(3): 1769-1779 (2012) - 2011
- [j5]Shuo Chen, F. DuBois Bowman:
A novel support vector classifier for longitudinal high-dimensional data and its application to neuroimaging data. Stat. Anal. Data Min. 4(6): 604-611 (2011)
2000 – 2009
- 2008
- [j4]F. DuBois Bowman, Brian Caffo, Susan Spear Bassett, Clint Kilts:
A Bayesian hierarchical framework for spatial modeling of fMRI data. NeuroImage 39(1): 146-156 (2008) - [j3]Ying Guo, F. DuBois Bowman:
Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol. NeuroImage 40(2): 698-711 (2008) - [c2]Gordana Derado, Kichun Sky Lee, Orietta Nicolis, F. DuBois Bowman, Mary Newell, Fabrizio F. Rugger, Brani Vidakovic:
Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images. ISBRA 2008: 281-292 - 2007
- [c1]Gordana Derado, F. DuBois Bowman, Rajan Patel, Mary Newell, Brani Vidakovic:
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images. ISBRA 2007: 203-214 - 2006
- [j2]Rajan S. Patel, Dimitri Van De Ville, F. DuBois Bowman:
Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data. NeuroImage 31(3): 1142-1155 (2006) - 2004
- [j1]F. DuBois Bowman, Rajan Patel:
Identifying spatial relationships in neural processing using a multiple classification approach. NeuroImage 23(1): 260-268 (2004)
Coauthor Index
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