Marquette University Wisconsin - Dr Daniel Rowe
 
 
 

Professor
Head of Functional Magnetic Resonance Image Analysis Lab
Department of Mathematical and Statistical Sciences
Marquette University

313 Cudahy Hall,
1313 W. Wisconsin Ave.
Milwaukee, WI 53233

Phone: 414-288-5228
E-mail: daniel.rowe{at}marquette.edu

Applications are now being accepted for:
MU Computational Mathematical and Statistical Sciences PhD/MS Program.
MU Applied Statistics MS Program.
MU Statistical Science BS Program.

Adjunct Professor
Faculty of the Center for Imaging Research
Department of Biophysics
Medical College of Wisconsin

8701 Watertown Plank Road
Milwaukee, WI 53226-0509
E-mail: dbrowe{at}mcw.edu

Adjunct Professor
School of Mathematical & Statistical Sciences
Clemson University

O-110 Martin Hall
Clemson, South Carolina 29634
E-mail: drowe2{at}clemson.edu

 

 

 

Publications  (PDFs), (Data) (Google Scholar)

Journal Publications     Book/Book Chapter Publications    Conference Publications   Media Appearances


Journal Publications

2024

Mathew S, ROWE DB: Pruning a Neural Network Using Bayesian Inference. In submission, 2024. arXiv

Xu K, ROWE DB: A Bayesian CAIPIVAT Approach with Through-Plane Acceleration to Enhance Efficiency of Simultaneously Encoded Slice Acquisition in FMRI. In submission, 2024.

An D, Kriegel A, Bergom C, Kumar S, Himburg H, Fish B, Klawikowski S, ROWE D, Lenarczyk M, Baker J, Ibrahim E-S. Radiation-induced Cardiotoxicity in Hypertensive Salt-Sensitive Rats. A Feasibility Study. In submission, 2024.

Adrian DW, Maitra R, ROWE DB: Rice-Distributed Autoregressive Time Series Modeling and Improved Activation Estimation in FMRI Studies. Annals of Applied Statistics, In Press, (2024). GitHub

Sakitis CJ, ROWE DB: Bayesian merged utilization of GRAPPA and SENSE (BMUGS) for in-plane accelerated reconstruction increases fMRI detection power. Magnetic Resonance Imaging, In Press, (2024).

Wang Z, ROWE DB, Li X, Brown DA: Efficient Fully Bayesian Approach to Brain Activity Mapping with Complex-Valued fMRI Data. Journal of Applied Statistics, In Press, (2024). arXiv

Sakitis CJ, ROWE DB: A Bayesian Approach to GRAPPA Parallel FMRI Image Reconstruction Increases SNR and Power of Task Detection. Annals of Applied Statistics, In Press, (2024). arXiv

Mathew S, Sra J, ROWE DB: Generation of Patient Specific Cardiac Chamber Models Using Generative Neural Networks Under a Bayesian Framework for Electroanatomical Mapping. Journal of Statistical Theory and Practice, In Press, (2024). arXiv

Sakitis CJ,Brown DA, ROWE DB: A Bayesian Complex-Valued Latent Variable Model Applied to FMRI. Journal of the Royal Statistical Society-Series C, In Press, (2024).

Wang Z, ROWE DB, Li X, Brown DA: A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data. Magnetic Resonance Imaging, 109:271-285, (2024). arXiv

2023

Yu CH, Prado R, Ombao HC, ROWE DB: Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals, Biometrics, 79(2):616-628, (2023).

2021

Herzberg W, ROWE DB, Hauptmann A, Hamilton SJ: Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. IEEE Transactions on Computational Imaging, 7:1341-1353, (2021).

2018

Yu CH, Prado R, Ombao HC, ROWE DB: A Bayesian Variable Selection Approach Yields Improved Brain Activation From Complex-Valued fMRI. Journal of the American Statistical Association, 113(524):1395-1410, (2018).

Adrian DW, Maitra R, ROWE DB: Complex-Valued Time Series Modeling for Improved Activation Detection in FMRI Studies. Annals of Applied Statistics, 12(3):1451-1478, (2018).

Risk BB, Kociuba MC, ROWE DB. Impacts of Simultaneous Multislice Acquisition on Sensitivity and Specificity in fMRI. Neuroimage, 172:538-553, (2018).

2016

Kociuba MC, ROWE DB: Complex-Valued Time-Series Correlation Increases Sensitivity in FMRI Analysis. Magn. Reson. Imaging, 34(6):765-770, (2016).

ROWE DB, Bruce IP, Nencka AS, Hyde JS, Kociuba MC: Separation of Parallel Encoded Complex-valued Slices (SPECS) from a Single Complex-Valued Aliased Image. Magn. Reson. Imaging, 34(3):359-369, (2016).

Jasbir Sra D, Choudhuri I, Belanger B, Palma M, Brodnick D, ROWE DB: Identifying the Third Dimension in 2D Fluoroscopy to Create 3D Cardiac Maps. JCI Insight, 1(21):1-17, (2016).

2015

Karaman MM, Bruce IP, ROWE DB: Incorporating Relaxivities to More Accurately Reconstruct MR Images. Magn. Reson. Imaging,33:(4):374-384, (2015).

2014

Karaman MM, Nencka AS, Bruce IP, ROWE DB: Quantification of the Statistical Effects of Spatiotemporal Processing of Non-task fMRI Data. Brain Connectivity, 4(9):649-661, (2014).

Bruce IP, ROWE DB: Quantifying the Statistical Impact of GRAPPA in fcMRI Data with a Real-Valued Isomorphism. IEEE Trans. Med. Imaging, 33(2):495-503, (2014).

Karaman MM, Bruce IP, ROWE DB: A statistical fMRI model for differential T2* contrast incorporating T1 and T2* of gray matter. Magn. Reson. Imaging, 32(1):9-27, (2014).

2013

Adrian DW, Maitra R, ROWE DB: Ricean versus Gaussian modelling in magnitude fMRI Analysis – Added Complexity with Few Practical Benefits. Stat, 2(1):303–316 (2013).

2012

Mazaheri Y, Afaq A, ROWE DB, Lu Y, Shukla-Dave A, Grover J: Diffusion-weighted MRI of the prostate: Improved robustness with stretched exponential modeling. J.Comput. Assist. Tomo., 36(6):695-703, (2012).

Bruce IP, Karaman MM, ROWE DB: The SENSE-Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) Model for Reconstruction and Observing Statistical Properties of Reconstruction Operators. Magn. Reson. Imaging, 30(8):1143-1166, (2012).

Hahn AD, ROWE DB: Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series. Neuroimage, 59(3):2231–2240 (2012).

Hahn AD, Nencka AS, ROWE DB: Enhancing the utility of complex-valued fMRI detection of neurobiological processes through post-acquisition estimation and correction of dynamic B0 errors and motion. Hum. Brain. Mapp., 33(2):288–306 (2012).

2011

Bruce IP, Karaman MM, ROWE DB: A Statistical Examination of SENSE Image Reconstruction via an Isomorphism Representation. Magn. Reson. Imaging 29(9):1267-1287 (2011).

Hettinger PC, Li R, Yan J-G, Matloub HS, Cho YR, Pawela CP, ROWE DB, Hyde JS: Long-term vascular access ports as a means of sedative administration in a rodent fMRI survival model. J. Neurosci. Methods 200(2):106:112 (2011).

2010

Hernandez-Garcia L, Jahanian H, ROWE DB. Quantitative Analysis of Arterial Spin labeling FMRI Data using a General Linear Model. Magn. Reson. Imaging, 28(7):919-927 (2010).

2009

ROWE DB, Hahn AD, Nencka AS. Functional MRI brain activation directly from k-space. Magn. Reson. Imaging 27(10):1370-1381, (2009).

Hernandez-Garcia L, Vazquez AL, ROWE DB. Complex-valued analysis of arterial spin labeling based fMRI signals. Magn. Reson. Med. 62(6):1597-1608, (2009).

ROWE DB. Magnitude and phase signal detection in complex-valued fMRI data. Magn. Reson. Med. 62(5):1356–1357 (2009).

ROWE DB, Haacke EM. Magnitude and phase thresholding (MAPHT) of noisy complex-valued magnetic resonance images. Magn. Reson. Imaging 27(9):1271–1280 (2009).

Nencka AS, Hahn AD, ROWE DB. A Mathematical model for understanding the statistical effects of k-space (AMMUST-k) preprocessing on observed voxel measurements in fcMRI and fMRI. J. Neurosci. Methods 181(2):268-282 (2009).

Zhu H, Li Y, Ibrahim JG, Shi X, An H, Chen Y, Lin W, ROWE DB, Peterson BS. Regression Models for Identifying Noise Sources in Magnetic Resonance Images J. Am. Stat. Assoc. 104(486):623-637 (2009).

Hahn AD, Nencka AS, ROWE DB. Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). Neuroimage 44(3):742-752 (2009).

2008

Logan BR, Geliazkova MP, ROWE DB. An evaluation of spatial thresholding techniques in fMRI analysis. Hum. Brain Mapp. 29(12):1379-1389 (2008).

Xu Y, Xu G, Wu G, Antuono P, ROWE DB, Li S-J. The phase shift index for marking abnormal functional asynchrony in Alzheimer’s patients by fMRI. Magn. Reson. Imaging 26(3):379-392 (2008).

2007

Kufahl PR, ROWE DB, Li S-J. Processing the acute cocaine FMRI response in human brain with Bayesian source separation. Digital Signal Processing 17(5):975-978 (2007).

Xu Y, Wu G, ROWE DB, Ma Y, Xu G, Li S-J. COMBE: Complex model based estimation of thermal noise for fMRI data in the presence of artifacts. Magn. Reson. Imaging 25(7):1079-1088 (2007).

Nencka AS, ROWE DB. Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods. Neuroimage 37(1):177-188 (2007).

Zhu H, Ibrahim JG, Tang N, ROWE DB, Hau X, Bansal R, Peterson BS. Statistical analysis of brain morphometric measures: A wild bootstrap method. IEEE Trans. Med. Imaging 26(7):954-966 (2007).

ROWE DB, Meller CP, Hoffmann RG. Characterizing phase-only fMRI data with an angular regression model. J. Neurosci. Methods 161(2):331-341 (2007).

Grether DM, Plott CR, ROWE DB, Sereno MI, Allman JM. Mental processes and strategic equilibration: An fMRI study of selling strategies in second price auctions Experimental Economics 10(2):105-122 (2007).

ROWE DB, Nencka AS, Hoffmann RG. Signal and noise of Fourier reconstructed fMRI data. J. Neurosci. Methods 159(2):361-369 (2007).

2006

ROWE DB, Hoffmann RG. Multivariate Statistical Analysis in fMRI. IEEE Eng Med Biol Med 25(2):60-64 (2006).

2005

ROWE DB. Modeling both the magnitude and phase of complex-valued fMRI data. Neuroimage 25(4):1310-1324 (2005).

ROWE DB. Parameter estimation in the magnitude-only and complex-valued fMRI data models. Neuroimage 25(4):1124-1132 (2005).

ROWE DB, Logan BR. Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model. Neuroimage 24(2):603-606 (2005).

2004

ROWE DB, Logan BR. A complex way to compute fMRI activation. Neuroimage 23(3):1078-1092 (2004).

Logan BR, ROWE DB. An evaluation of thresholding techniques in fMRI analysis. Neuroimage 22(1):95-108 (2004).

2003

ROWE DB. Significant fMRI neurologic synchrony using Monte Carlo methods. Monte Carlo Methods and Applications 9(4):367-385 (2003).

ROWE DB. On using the sample mean in Bayesian factor analysis. J. Interdiscip. Math. 6(3):319-329 (2003).

Bennett KM, Schmainda KM, Bennett R, ROWE DB, Lu H, Hyde JS. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn. Reson. Med. 50(4):727-734 (2003).

ROWE DB. Bayesian source separation of functional sources. J. Interdiscip. Math. 6(2):129-138 (2003).

ROWE DB. Jointly distributed mean and mixing coefficients for Bayesian source separation using MCMC and ICM. Monte Carlo Methods and Applications 8(4):395-403 (2003).

2002

ROWE DB. A Bayesian approach to blind source separation. J. Interdiscip. Math. 5(1):49-76 (2002).

2001

ROWE DB. A Bayesian source separation for reference function determination in fMRI. Magn. Reson. Med. 46(2):374-378 (2001).

2000

ROWE DB. Factorization of seperable and patterned covariance matrices for Gibbs sampling. Monte Carlo Methods and Applications 6(3):205-210 (2000).

≤1999

Heinsen AP, ROWE DB. A comparison of CF4+hydrocarbon fast gases for drift chambers and straw tubes. Nucl. Instrum. Methods Phys. Res. A 321(1-2):165-171 (1992)


Book/Book Chapter Publications/Other

Rowe DB. The Fourier Transform: A Technical Understanding with Applications to MRI. In preparation.

ROWE DB: Image Reconstruction in Functional MRI. (205-232) In Handbook of Statistical Methods for Brain Signals and Images, Chapman & Hall/CRC Press. ISBN: 978-1-4822-20971

Biswal B, Pawela C, Grist T, Meyerand ME, Nencka AS, DeYoe EA, Li SJ, Rowe DB, Kiviniemi V, Cox RW, Bodurka J, Ogawa S, Koretsky A, Hu X, Kim SG: Personal reflections on James S. Hyde. Brain Connect., 4(9):631-635, 2014.

ROWE DB, Jiang J, Haacke EM. Complex threshold methods for eliminating pixels that contain predominantly noise in magnetic resonance images, in: MRI Susceptibility Weighted Imaging: Basic Concepts and Clinical Applications (pp 577-603). eds. Haacke EM, Reichenbach J John Wiley & Sons, January 2011.

Barth M, ROWE DB. Functional susceptibility weighted magnetic resonance imaging, in: MRI Susceptibility Weighted Imaging: Basic Concepts and Clinical Applications (pp 561-575). eds. Haacke EM, Reichenbach J John Wiley & Sons, January 2011.

ROWE DB. Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing. CRC Press: Boca Raton, FL, USA (2003). ISBN: 1584883189. Available from CRC Press, Amazon.com, or BN.com. Book Webpage. Here are a couple reviews: JASA Review, Technometrics Review. In here Bayesian source separation and Bayesian factor analysis is described.

ROWE DB. Correlated Bayesian Factor Analysis. Ph.D. Thesis, Department of Statistics, University of California, Riverside, (1998).


Conference Publications

2024

ROWE DB: Bayesian k-Space Estimation Decreases Image Noise and Increased Activation Detection. Proc. Joint Stat. Meet., Section on Bayesian Statistical Science, Portland, OR, 2024. DOI: 10.5281/zenodo.14020584

Sakitis CJ, ROWE DB: A Bayesian Approach to Fused GRAPPA and SENSE MR Image Reconstruction. Proc. Joint Stat. Meet., Section on Statistics in Imaging, Portland, OR, 2024. DOI: 10.5281/zenodo.14015226

Xu K, ROWE DB: A CAIPI Approach to Decrease Geometry Factor for Simultaneous Multi-Slice Technique in FMRI. Proc. Joint Stat. Meet., Section on Statistics in Imaging, Portland, OR, 2024. DOI: 10.5281/zenodo.14014372

Adrian DW, Maitra R, ROWE DB: Improved Activation Detection from Magnitude and Phase Functional MRI Data. Proc. Joint Stat. Meet., Section on Statistics in Imaging, Portland, OR, 2024. DOI: 10.5281/zenodo.14010492

2023

ROWE DB: Statistics of Intrinsic FMRI Data. Proc. Joint Stat. Meet., Section on Imaging, 27, Toronto Ontario, Canada, 2023. DOI: 10.5281/zenodo.10002334

Sakitis CJ, ROWE DB: Formal Bayesian Approach to GRAPPA Image Reconstruction. Proc. Joint Stat. Meet., Section on Imaging, 27, Toronto Ontario, Canada, 2023. DOI: 10.5281/zenodo.10002387

Xu K, ROWE DB: Increased SNR using Simultaneous Encoded Complex-Valued Slices with Through-Plane Acceleration in FMRI. Proc. Joint Stat. Meet., Section on Imaging, 27, Toronto Ontario, Canada, 2023. DOI: 10.5281/zenodo.10002387

2022

ROWE DB: Utilizing Baseline Information in Addition to Task-Related Information in FMRI. Proc. Joint Stat. Meet., Section on Imaging, 26:1399-1414, Washington, DC, 2022.

Sakitis CJ, Brown DA, ROWE DB: A Full Bayesian Approach to SENSE Image Reconstruction Increases Brain Tissue Contrast and Reduces Noise for More Accurate Statistical Analysis. Proc. Joint Stat. Meet., Section on Imaging, 26:1380-1398, Washington, DC, 2022.

2021

Sakitis CJ, ROWE DB Brown DA: A Formal Bayesian Approach to SENSE Image Reconstruction. Proc. Joint Stat. Meet., Section on Imaging, 25:1332-1358, Virtual, 2021.

2020

ROWE DB: Utilizing Baseline and Differential Information to Improve FMRI Brain Activation. Proc. Joint Stat. Meet., Section on Imaging, 24:2326-2332, Philadelphia, PA, (virtual), 2020.

2017

Adrian DW, Maitra R, ROWE DB: Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling. Proc. Joint Stat. Meet., Section on Imaging, 21:1052-1062, Baltimore, MD, 2017.

ROWE DB: A Bayesian approach to SENSE Image Reconstruction in FMRI, Submitted to Proc. Joint Stat. Meet., Statistical Society of Canada, 21:378-392, Baltimore, MD, 2017.

2016

Liu KK, ROWE DB: Image Registration Techniques Alter Image Properties in fMRI. Proc. Joint Stat. Meet., Section on Imaging, 20:1879-1892, Chicago, IL, 2016.

Kociuba MC, ROWE DB: Complex-Valued Correlation Increases Sensitivity and Specificity in the Analysis of FMRI Time Series. Proc. Intl. Soc. Magn. Reson. Med., 24:3880, Singapore, 2016.

Kociuba MC, ROWE DB: CSF Signal as a Complex-Valued RETROICOR Regressor Removes Unwanted Physiological Signal and Increases the Accuracy of Spatial Correlation in Complex-Valued fMRI. Proc. Intl. Soc. Magn. Reson. Med., 24:3817, Singapore, 2016.

2015

ROWE DB, Kociuba MC: Single Coil Multi-Slice Aliasing and Separation for FMRI. Proc. Joint Stat. Meet., Section on Imaging, 20:2951-2963, Seattle, WA, USA, 2015.

Paulson EM, ROWE DB: Induced Correlation Resulting from Respiration and Motion Correction Processing Operations in fMRI. Proc. Joint Stat. Meet., Section on Imaging, 20:2661-2665, Seattle, WA, USA, 2015.

Liu KK, ROWE DB: Global Intensity Normalization Induces Correlation in fMRI. Proc. Joint Stat. Meet., Section on Imaging, 20:2053-2064, Seattle, WA, USA, 2015.

Kociuba MC, ROWE DB: False Activation in Partially Sampled Dual Task fMRI. Proc. Joint Stat. Meet., Section on Imaging, 20:1682-1690, Seattle, WA, USA, 2015.

Adrian DW, Maitra R, ROWE DB: Improved activation detection via complex-valued AR(p) modelling of fMRI voxel time series. Proc. Joint Stat. Meet., Section on Imaging, 20:42-56, Seattle, WA, USA, 2015.

Kociuba MC, ROWE DB: Multi-Coil Separation of Parallel Encoded Complex-Valued Slices (mSPECS) with Hadamard Aliasing and Bootstrap Calibration Minimizes Spatial and Temporal Correlations for Faster Brain Observation. ISMRM Workshop on Simultaneous Multi-Slice Imaging: Neuroscience & Clinical Applications, July 19-22, 2015 Pacific Grove, CA, USA

Kociuba MC, ROWE DB: Processing Induced Spatial Correlations Are Quantified With A Temporal Frequency Representation in Complex-Valued fMRI. Proc. Intl. Soc. Magn. Reson. Med., 23:2070, Toronto, Canada, 2015.

Kociuba MC, ROWE DB: Signal Processing Spreads a Voxel’s Temporal Frequency Task-Activated Peak and Induces Spatial Correlations in Dual-Task Complex-Valued fMRI. Proc. Intl. Soc. Magn. Reson. Med., 23:2476, Toronto, Canada, 2015.

2014

Karaman MM, ROWE DB, Nencka AS: Improving the Accuracy of fMRI and fcMRI Analysis by Accounting for Spatiotemporal Processing Induced Correlation. Proc. Am. Stat. Assoc., Section on Imaging, 19:3726-3740, Boston, MA, USA, 2014.

Bruce IP, Muftuler LT, ROWE DB: Spatial Normalization Can Morph RF Coils into Brain Region Optimized Geometries for fcMRI Studies. Proc. Intl. Soc. Magn. Reson. Med., 22:1328, Milan, Italy, 2014.

Karaman MM, ROWE DB, Nencka AS: Decreasing False Positives and Negatives from Spatiotemporal Processing of FMRI. Proc. Intl. Soc. Magn. Reson. Med., 22:4144, Milan, Italy, 2014.

2013

ROWE DB: Separation of several aliased images to increase volume speed. Proc. Am. Stat. Assoc., Section on Imaging, 18:3796-3805, Montreal, Canada, 2013.

ROWE DB, Hyde JS, Jesmanowicz A, Nencka AS: A Complex-Valued Algorithm That is Superior the Standard Magnitude-Only Algorithm for Separation of Two Simultaneously Excited Complex-Valued Images from One Complex-Valued Aliased Image. Proc. Intl. Soc. Magn. Reson. Med., 21:123, Salt Lake City, Utah, USA, 2013.

Karaman MM, Nencka AS, ROWE DB: Temporal Processing of fMRI Data Induces Functional Correlations and Potentially Alters Functional Activations. Proc. Intl. Soc. Magn. Reson. Med., 21:2232, Salt Lake City, Utah, USA, 2013.

Karaman MM, Bruce IP, ROWE DB: Incorporation of Gray Matter T1 and T2* Improves Brain Activation Statistics in fMRI. Proc. Intl. Soc. Magn. Reson. Med., 21:2285, Salt Lake City, Utah, USA, 2013. (Magna Cum Laude Award)

Bruce IP, Muftuler LT, ROWE DB: SENSE Induced Correlations are Used to Optimize RF Coil Design for Specific fcMRI Studies. Proc. Intl. Soc. Magn. Reson. Med., 21:2733, Salt Lake City, Utah, USA, 2013.

Bruce IP, ROWE DB: Artificial Correlations Induced by SENSE and GRAPPA Corrupt fcMRI Conclusions. Proc. Intl. Soc. Magn. Reson. Med. 21:1342, Salt Lake City, Utah, USA, 2013.

2012

ROWE DB, Nencka AS: Statistical Image Reconstruction of Two Simultaneously Excited fMRI Slices Proc. Am. Stat. Assoc., Biometrics Section, 17:202-216, 2012.

Karaman MM, ROWE DB: Incorporating Relaxivities to More Accurately Reconstruct Magnetic Resonance Images. Sixth International Workshop on Statistical Analysis of Neuronal Data (SAND6), University of Pittsburgh, Pittsburgh, PA, 2012. http://sand.stat.cmu.edu/

2010

Nencka AS, Shefchik D, Jesmanowicz A, Hyde JS, ROWE DB. A statistical method for computing BOLD activations in multi-echo time fMRI data sets and identifying likely non-BOLD task related signal change. Proc. Intl. Soc. Magn. Reson. Med. 18:1154, Stockholm, Sweden, 2010.

Hahn AD, ROWE DB. Methodology for robust motion correction of complex-valued fMRI time series. Proc. Intl. Soc. Magn. Reson. Med. 18:3051, Stockholm, Sweden, 2010.

Nencka AS, Hahn AD, Rowe, DB: Phase Regression and Dynamic B-Field Correction Reduce Global Time Series Correlations and Increase Functional. Proc. Second Biennial International Conference on Resting State Connectivity, Medical College of Wisconsin, Milwaukee, Wisconsin, F040, 2010. http://restingstate.com/

ROWE DB, Bruce IP: Processing Induced Voxel Correlation in SENSE FMRI Via the AMMUST Framework. Proc. Second Biennial International Conference on Resting State Connectivity, Medical College of Wisconsin, Milwaukee, Wisconsin, F052, 2010. http://restingstate.com/

Adrian DW, Maitra R, ROWE DB. Time Series Models for Computing Activation in fMRI. Fifth International Workshop on Statistical Analysis of Neuronal Data (SAND5), University of Pittsburgh, Pittsburgh, PA, 2010. http://sand.stat.cmu.edu/

Mazaheri Y, ROWE DB, Zhang J, Hricak H, Koutcher JA. Improved Robustness with a Stretched Exponential Model for Intravoxel Incoherent Motion (IVIM) DW Signal. Proc. Intl. Soc. Magn. Reson. Med. 18:2655, Stockholm, Sweden, 2010.

Hahn AD, Nencka AS, ROWE DB. In fMRI, a dual echo time EPI pulse sequence can induce sources of error in dynamic B-field maps. Proc. Intl. Soc. Magn. Reson. Med. 18:5062, Stockholm, Sweden, 2010.

Hahn AD, Nencka AS, ROWE DB. Iterative space transformation enables the use of optimal magnetic field correction algorithms using EPI-based field maps. Proc. Intl. Soc. Magn. Reson. Med. 18:3092, Stockholm, Sweden, 2010.

2009

Hoffmann RG, Simpson P, Li S-H, Yan K, DeYoe EA, ROWE DB: A Dirichlet Process Models for Changes in the fMRI Visual Field. International Biometrics Society Eastern North American Region, 2009.

Hernandez-Garcia L, ROWE DB. Quantitative General Linear Model Analysis of Arterial Spin labeling Data. Proc. Organization for Hum. Brain Mapp. 15th Annual Meeting, Neuroimage 47 ( Supplement 1), S82:530, 2009.

ROWE DB, Haacke EM. Complex-valued voxel thresholding increases image contrast in SWI. Proc. Intl. Soc. Magn. Reson. Med., 17:2923, 2009.

Hahn AD, Nencka AS, ROWE DB. Dynamic magnetic field corrections improve phase-only fMRI activations. Proc. Intl. Soc. Magn. Reson. Med., 17:2789, 2009.

ROWE DB, Nencka AS. Induced Correlation In FMRI Magnitude Data From k-Space Preprocessing. Proc. Intl. Soc. Magn. Reson. Med., 17:1721, 2009.

ROWE DB, Hernandez-Garcia L. An Analytic Magnitude and Phase fMRI Activation Model Applied to ASL. Proc. Intl. Soc. Magn. Reson. Med., 17:1716, 2009.

Nencka AS, Hahn AD, ROWE DB. Phase regression and dynamic B-field correction reduce global time series correlations and increase functional correlations. Proc. Intl. Soc. Magn. Reson. Med., 17:1663, 2009.

2008

Hoffmann RG, Pajewski NM, DeYoe EA, ROWE DB. A Non-Parametric Mixture Model for the fMRI Visual Field Map. Proc. Am. Stat. Assoc., Statistical Computing Section, 13:3782-3789, 2008.

ROWE DB, Haacke EM. Thresholding Complex Magnetic Resonance Images Using Magnitude and Phase. Proc. Am. Stat. Assoc., Biometrics Section, 13:1922-1929, 2008.

Hernandez-Garcia L, ROWE DB. Phase Modeling in Arterial Spin Labeling FMRI. Proc. Organization for Hum. Brain Mapp. 14th Annual Meeting, Neuroimage 41(Supplement l), S90:519, 2008.

Hahn AD, Nencka AS, ROWE DB. Dynamic Compensation of B0 Field Inhomogeneities Restores Complex fMRI Time Series Activation Power. Proc. Intl. Soc. Magn. Reson. Med., 16:1251, 2008.

Nencka AS, Paulson ES, ROWE DB. Complex Constant Phase Statistical Model Reduces Venous Contributions to BOLD Cortical Activations in the Visual Cortex. Proc. Intl. Soc. Magn. Reson. Med., 16:2338, 2008.

Nencka AS, Hahn AD, ROWE DB. Redundant Spatial Harmonic Information in Zeugmatography with Linear Encoding (R-SHIZLE) Theoretically Encodes Intra-Acquisition Decay. Proc. Intl. Soc. Magn. Reson. Med., 16:3157, 2008.

Nencka AS, Hahn AD, ROWE DB. The use of Three Navigator Echoes in Cartesian EPI Reconstruction Reduces Nyquist Ghosting. Proc. Intl. Soc. Magn. Reson. Med., 16:3032, 2008.

Nencka AS, ROWE DB. Apodization and Smoothing Alter Voxel Time Series Correlations. Proc. Intl. Soc. Magn. Reson. Med., 16:2457, 2008.

2007

ROWE DB. FMRI statistical brain activation from k-space data. Proc. Am. Stat. Assoc. Biometrics Section, 12:107-114, 2007.

Hoffmann RG, Hoffmann TJ, DeYoe EA, ROWE DB: Estimation of Pre-Post Surgical Changes in the fMRI Visual Field Map. Proc. Am. Stat. Assoc. Biometrics Section, 12:383-388, 2007.<

ROWE DB. FMRI Activation in image space from k-space data. Proc. Organization for Hum. Brain Mapp. 13th Annual Meeting, NeuroImage 37(Supplement 1), S114:377, 2007.

Nencka AS, ROWE DB. Image space correlations induced by k-space processes. Proc. Organization for Hum. Brain Mapp. 13th Annual Meeting, Neuroimage 37 (Supplement 1), S55:284, 2007.

Logan BR, Geliazkova MP, Laud PW, ROWE DB. A Bayesian Spatial Mixture Model for fMRI Analysis. International Conference on Multiple Comparison Procedures, Vienna, Austria, 2007.

Hoffmann RG, Macjewskii MJ, DeYoe EA, ROWE DB. Spatial Statistical Methods for Detecting Changes in Visual Field Maps, Proc. Organization for Hum. Brain Mapp. 13th Annual Meeting, Neuroimage 37(Supplement 1), S45:311, 2007.

ROWE DB, Li S-J. Two fMRI indices as markers for Alzheimer’s disease. Proc. Intl. Soc. Magn. Reson. Med. 15:3728, 2007.

Nencka AS, ROWE DB. Constant phase statistical method better localizes activations than phase regressor statistical method. Proc. Intl. Soc. Magn. Reson. Med. 15:3198, 2007.

ROWE DB, Hernandez-Garcia L, Lee GR. Complex analysis of ASL fMRI data yields more focal activation. Proc. Intl. Soc. Magn. Reson. Med. 15:1422, 2007.

2006

Hoffmann RG, Maciejewski MJ, ROWE DB, DeYoe EA. Assessing changes in the fMRI visual field map after surgery for epilepsy, Proc. Intl. Biometrics Conference, Montreal, Quebec, Canada, 2006.

ROWE DB, Nencka AS, Hoffmann RG. Intrinsic voxel correlation in fMRI. Proc. Am. Stat. Assoc. Biometrics Section, 11:338-345, 2006.

Hoffmann RG, Maciejewski MJ, Savarapian P, DeYoe EA, ROWE DB. Methods for assessing changes in the fMRI visual field map after surgery. Proc. Am. Stat. Assoc. Biometrics Section, 11: 2062-2067, 2006.

Kufahl PR, ROWE DB, Li S-J. Bayesian source separation of drug-induced BOLD responses with correlated reference functions. Proc. Intl. Soc. Magn. Reson. Med. 14:1160, 2006.

Nencka AS, ROWE DB. Theoretical results demonstrate fundamental differences in venous BOLD reducing activation methods. Proc. Intl. Soc. Magn. Reson. Med. 14:3269, 2006.

ROWE DB, Nencka AS. Complex activation suppresses venous BOLD in GE-EPI fMRI data. Proc. Intl. Soc. Magn. Reson. Med. 14:2834, 2006.

2005

Hoffmann RG, Deyoe EA Brefcynski JA, Thakur M, ROWE DB. Spatial-temporal models of visual field pathology. Proc. Am. Stat. Assoc. Biometrics Section, 10:223-229, 2005.

Meller CP, ROWE DB. An angular regression model for phase-only fMRI data. Proc. Am. Stat. Assoc. Biometrics Section, 10:316-323, 2005.

ROWE DB, Nencka AS. Magnitude and phase modeling for fMRI brain activation. Proc. Am. Stat. Assoc. Biometrics Section, 10:377-382, 2005.

Nencka AS, ROWE DB. Complex constant phase activation model removes venous BOLD contribution in fMRI. Proc. Intl. Soc. Magn. Reson. Med. 13:495, 2005.

Kufahl PR, ROWE DB, Li S-J. Exploring Intervoxel dependencies in human pharmalogical fMRI data. Proc. Intl. Soc. Magn. Reson. Med. 13:1577, 2005.

ROWE DB. Complex activation is more focal and concentrated to parenchymal tissue. Proc. Intl. Soc. Magn. Reson. Med. 13:1575, 2005.

2004

ROWE DB. A complex data method to compute fMRI activation. Proc. Am. Stat. Assoc. Biometrics Section, 9:440-447, 2004.

Logan BR, ROWE DB. A comparison of fMRI activation thresholding methods. Proc. Intl. Soc. Magn. Reson. Med. 12:1095, 2004.

ROWE DB, Logan BR. An fMRI activation method using complex data. Proc. IEEE International Symposium on Biomedical Imaging, 876-879, 2004.

2003

Kufahl PR, ROWE DB, Li S-J. A Bayesian hemodynamic drug response model for fMRI analysis. Proc. Intl. Soc. Magn. Reson. Med. 11:1907, 2003.

Bennett KM, Schmainda, KM, ROWE DB, Rebro K, Hyde JS. A stretched-exponential model of sub-voxel diffusion rates in cerebral tissue. Proc. Intl. Soc. Magn. Reson. Med. 11:1479, 2003.

Bennett KM, Hyde JS, Rebro K, ROWE DB, Rand S, Schmainda KM. Detection of Brain Tumor Invasion. Proc. Intl. Soc. Magn. Reson. Med. 1:1285, 2003.

2002

Strony AL, ROWE DB.A Re-examination of some Popular Latent Factor Estimation Methods. The Fifteenth Annual Investment Seminar, Cambridge, UK September 8-11, 2002. 25 pages

Morgan SW, ROWE DB. The effect of detrending when computing regression coefficients in block design fMRI. Proc. Intl. Soc. Magn. Res. Med. 10:1424, 2002.

2001

ROWE DB. Bayesian source separation of fMRI signals. AIP Conference Proceedings: Bayesian inference and maximum entropy methods in science and engineering 2000 (Ali Mohammad-Djafari, ed.). American Institute of Physics, Melville, NY, ), 375-387, 2001.

Media Appearances

09/2018 ABC WISN12 News at 5 O’Clock. September 25, 2018
Discussed statistics of the Magic Number for the Milwaukee Brewers winning out the division and for earning a postseason playoff birth.

09/2018 NBC TMJ4 News at 6 O’Clock. September 10, 2018
Discussed statistics of the improbable comeback of the Green Bay Packers over the Chicago Bears.

03/2014 WTMJ Radio 620 Interviews on NCAA Basketball Tournament.
How far will the Panthers and Badgers go?

03/2013 CBS 58 News Interviews on NCAA Basketball Tournament
What are your chances of filling out a perfect bracket?


Return to Professor Rowe's Webpage