Bowman FD - Search Results

1

A Bayesian Spatial Model to Predict Disease Status Using Imaging Data From Various Modalities.

Xue W, Bowman FD, Kang J. Xue W, et al. Among authors: bowman fd. Front Neurosci. 2018 Mar 26;12:184. doi: 10.3389/fnins.2018.00184. eCollection 2018. Front Neurosci. 2018. PMID: 29632471 Free PMC article.

2

BSMac: a MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity.

Zhang L, Agravat S, Derado G, Chen S, McIntosh BJ, Bowman FD. Zhang L, et al. Among authors: bowman fd. J Neurosci Methods. 2012 Feb 15;204(1):133-143. doi: 10.1016/j.jneumeth.2011.10.025. Epub 2011 Nov 10. J Neurosci Methods. 2012. PMID: 22101143 Free PMC article.

3

Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models.

Xue W, Kang J, Bowman FD, Wager TD, Guo J. Xue W, et al. Among authors: bowman fd. Biometrics. 2014 Dec;70(4):812-22. doi: 10.1111/biom.12216. Epub 2014 Aug 21. Biometrics. 2014. PMID: 25147001 Free PMC article.

4

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

Xue W, Bowman FD, Pileggi AV, Mayer AR. Xue W, et al. Among authors: bowman fd. Front Comput Neurosci. 2015 Feb 20;9:22. doi: 10.3389/fncom.2015.00022. eCollection 2015. Front Comput Neurosci. 2015. PMID: 25750621 Free PMC article.

5

Multimodal Imaging Signatures of Parkinson's Disease.

Bowman FD, Drake DF, Huddleston DE. Bowman FD, et al. Front Neurosci. 2016 Apr 18;10:131. doi: 10.3389/fnins.2016.00131. eCollection 2016. Front Neurosci. 2016. PMID: 27147942 Free PMC article.

6

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

Kang J, Bowman FD, Mayberg H, Liu H. Kang J, et al. Among authors: bowman fd. Neuroimage. 2016 Nov 1;141:431-441. doi: 10.1016/j.neuroimage.2016.06.042. Epub 2016 Jul 26. Neuroimage. 2016. PMID: 27474522 Free PMC article.

7

A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data.

Chen S, Bowman FD, Mayberg HS. Chen S, et al. Among authors: bowman fd. Biometrics. 2016 Jun;72(2):596-605. doi: 10.1111/biom.12433. Epub 2015 Oct 26. Biometrics. 2016. PMID: 26501687 Free PMC article.

8

Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging.

Drake DF, Derado G, Zhang L, Bowman FD; Alzheimer’s Disease Neuroimaging Initiative. Drake DF, et al. Among authors: bowman fd. Wiley Interdiscip Rev Comput Stat. 2023 Sep-Oct;15(5):e1606. doi: 10.1002/wics.1606. Epub 2023 Apr 3. Wiley Interdiscip Rev Comput Stat. 2023. PMID: 39655245 Free PMC article.

9

Predicting brain activity using a Bayesian spatial model.

Derado G, Bowman FD, Zhang L; Alzheimer's Disease Neuroimaging Initiative Investigators. Derado G, et al. Among authors: bowman fd. Stat Methods Med Res. 2013 Aug;22(4):382-97. doi: 10.1177/0962280212448972. Epub 2012 Jun 28. Stat Methods Med Res. 2013. PMID: 22743280 Free PMC article.

10

Detecting and Testing Altered Brain Connectivity Networks with K-partite Network Topology.

Chen S, Bowman FD, Xing Y. Chen S, et al. Among authors: bowman fd. Comput Stat Data Anal. 2020 Jan;141:109-122. doi: 10.1016/j.csda.2019.06.007. Epub 2019 Jul 9. Comput Stat Data Anal. 2020. PMID: 32831438 Free PMC article.

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