F. DuBois Bowman | Academic Influence

F. DuBois Bowman's AcademicInfluence.com Rankings

F. DuBois Bowman

Mathematics

#8030

World Rank

#10908

Historical Rank

#2147

USA Rank

Statistics

#1194

World Rank

#1302

Historical Rank

#235

USA Rank

mathematics Degrees

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Mathematics

F. DuBois Bowman's Degrees

PhD Biostatistics University of North Carolina at Chapel Hill
Masters Biostatistics University of North Carolina at Chapel Hill
Bachelors Mathematics Morehouse College

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Why Is F. DuBois Bowman Influential?

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According to Wikipedia, Fredrick DuBois Bowman is an American statistician who is the Dean of the School of Public Health at the University of Michigan. His research applies statistical analysis to brain imaging to better understand Alzheimer's disease, schizophrenia and Parkinson's disease. Bowman is a member of the National Academy of Medicine, Fellow of the American Association for the Advancement of Science, and Fellow of the American Statistical Association.

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F. DuBois Bowman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Initial experience with the radiotracer anti-1-amino-3-18F-fluorocyclobutane-1-carboxylic acid with PET/CT in prostate carcinoma. (2007) (276)
The neural processing of moral sensitivity to issues of justice and care (2007) (161)
Anti-3-[(18)F]FACBC positron emission tomography-computerized tomography and (111)In-capromab pendetide single photon emission computerized tomography-computerized tomography for recurrent prostate carcinoma: results of a prospective clinical trial. (2014) (149)
Detection of recurrent prostate carcinoma with anti-1-amino-3-18F-fluorocyclobutane-1-carboxylic acid PET/CT and 111In-capromab pendetide SPECT/CT. (2011) (144)
A Bayesian hierarchical framework for spatial modeling of fMRI data (2008) (130)
A Bayesian approach to determining connectivity of the human brain (2006) (126)
The Neural Correlates of Social Anxiety Disorder and Response to Pharmacotherapy (2006) (125)
Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain*† (2013) (120)
Abnormal reward circuitry in anorexia nervosa: A longitudinal, multimodal MRI study (2016) (75)
Determining functional connectivity using fMRI data with diffusion-based anatomical weighting (2009) (75)
Spatiotemporal Models for Region of Interest Analyses of Functional Neuroimaging Data (2007) (60)
Interaction of Isoflurane with the Dopamine Transporter (2003) (59)
Erratum: The neural correlates of social anxiety disorder and response to pharmacotherapy (Neuropsychopharmacology (2006) 31 (2243-2253) DOI: 10.1038/sj.npp.1301053) (2006) (52)
Modeling the Spatial and Temporal Dependence in fMRI Data (2010) (51)
Spatio-temporal modeling of localized brain activity. (2005) (43)
Brain Imaging Analysis. (2014) (42)
Predicting the brain response to treatment using a Bayesian hierarchical model with application to a study of schizophrenia (2008) (39)
Parkinson's disease biomarkers: perspective from the NINDS Parkinson's Disease Biomarkers Program. (2017) (39)
Antibody‐based methods for the measurement of α‐synuclein concentration in human cerebrospinal fluid – method comparison and round robin study (2018) (35)
A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity (2015) (33)
Cortical Thinning and Cognitive Impairment in Parkinson's Disease without Dementia (2018) (32)
Determining hierarchical functional networks from auditory stimuli fMRI (2006) (31)
White matter tract covariance patterns predict age-declining cognitive abilities (2016) (28)
Statistical approaches to functional neuroimaging data. (2007) (28)
Multimodal Imaging Signatures of Parkinson's Disease (2016) (27)
Methods for detecting functional classifications in neuroimaging data (2004) (26)
Connectivity in fMRI: Blind Spots and Breakthroughs (2018) (24)
Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data (2006) (24)
Predicting brain activity using a Bayesian spatial model (2013) (23)
A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs (2016) (20)
A novel support vector classifier for longitudinal high‐dimensional data and its application to neuroimaging data (2011) (19)
On the Reliability of Individual Brain Activity Networks (2018) (17)
Identifying spatial relationships in neural processing using a multiple classification approach (2004) (16)
Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images (2008) (15)
Modeling intra‐subject correlation among repeated scans in positron emission tomography (PET) neuroimaging data (2003) (14)
A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data (2016) (14)
Detecting and testing altered brain connectivity networks with k-partite network topology (2020) (12)
BSMac: A MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity (2012) (12)
A joint model for longitudinal data profiles and associated event risks with application to a depression study (2005) (12)
Modelling of cardiac imaging data with spatial correlation (2004) (12)
Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks (2018) (11)
Some recent statistical learning methods for longitudinal high‐dimensional data (2014) (11)
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images (2007) (10)
Identifying functional co‐activation patterns in neuroimaging studies via poisson graphical models (2014) (9)
Investigation of Emission–Transmission Misalignment Artifacts on Rubidium-82 Cardiac PET with Adenosine Pharmacologic Stress (2008) (8)
Improving point predictions of random effects for subjects at high risk (2007) (8)
A Bayesian Spatial Model to Predict Disease Status Using Imaging Data From Various Modalities (2018) (8)
Differentially Expressed Functional Connectivity Networks with K-partite Graph Topology (2016) (6)
Evaluating Functional Connectivity using fMRI Data with Diffusion-Based Anatomical Weighting (2009) (5)
Connectivity in fMRI : A Review and a Preview (2017) (3)
Evaluating Functional Autocorrelation within Spatially Distributed Neural Processing Networks. (2010) (3)
Initial report of a clinical trial of anti-1 amino 3 [18F]fluorocyclobutane-1-carboxylic acid (anti-[18F]FACBC) PET-CT in recurrent prostate cancer (2009) (3)
Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol (2008) (3)
Corrigendum to “The neural processing of moral sensitivity to issues of justice and care” [Neuropsychologia 45 (2007) 755–766] (2007) (2)
The Neural Correlates of Social Anxiety Disorder and Response to Pharmacotherapy (2006) (2)
Cognition level and change in cognition during adolescence are associated with cognition in midlife. (2019) (2)
Quantifying the strength of structural connectivity underlying functional brain networks (2017) (2)
FACBC Positron Emission Tomography-Computerized Tomography and 111 In-Capromab Pendetide Single Photon Emission Computerized Tomography-Computerized Tomography for Recurrent Prostate Carcinoma : Results of a Prospective Clinical Trial (2014) (2)
Joint fMRI and DTI Models for Brain Connectivity (2016) (1)
Predicting Power for Longitudinal Studies with Attrition (2004) (1)
Anti-3-[F-18]FACBC Positron Emission Tomography-Computerized Tomography and In-111-Capromab Pendetide Single Photon Emission Computerized Tomography-Computerized Tomography for Recurrent Prostate Carcinoma: Results of a Prospective Clinical Trial (1)
Web-based Supplementary Materials for Modeling the spatial and temporal dependence in fMRI data by (2009) (0)
Extraprostatic recurrent prostate carcinoma detection with synthetic amino acid PET/CT surpasses imaging with 111Indium-capromab-pendetide plus diagnostic CT (2012) (0)
Classification Methods for Identifying the Neural Characterics of Antidepressant Treatment (2009) (0)
Longitudinal canonical correlation analysis (2023) (0)
HARMONIZATION OF IMMUNOCHEMICAL METHODS FOR MEASUREMENT OF α-SYNUCLEIN IN HUMAN CEREBROSPINAL FLUID: A ROUND ROBIN STUDY APPROACH (2018) (0)
Making Inferences About Projected Completors in Longitudinal Studies (2004) (0)
Spatio-Temporal Models for Volume of Interest Analyses of Neuroimaging Data (2004) (0)
A post-imaging method for correcting heart drift in PET/CT cardiac imaging (2007) (0)
Predicting Power for Longitudinal Studies with Attrition (2004) (0)

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