Dianne H. Brooks, Ed.D.

2000 The University of Alabama, Tuscaloosa, AL 
Teacher Training Education, Administration Education
"Dianne Brooks"


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Stephen Tomlinson grad student 2000 University of Alabama
 (The relationship of education, training, and implementation of the middle school concept in Alabama.)
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Coll-Font J, Purcell B, Xu J, et al. (2016) Evaluation of 2-norm versus sparsity regularization in spline-based joint reconstruction of epicardial and endocardial potentials from body-surface measurements Computing in Cardiology. 42: 957-960
Coll-Font J, Potyagayo D, Schulze WHW, et al. (2016) Comparison of temporal dimensionality reduction methods for constrained inverse in cardiac electrical imaging Computing in Cardiology. 42: 237-240
Coll-Font J, Erem B, Stovicek P, et al. (2016) Quantitative comparison of two cardiac electrical imaging methods to localize pacing sites Computing in Cardiology. 42: 217-220
Coll-Font J, Burton BM, Tate JD, et al. (2014) New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment. Computing in Cardiology. 2014: 213-216
Pera V, Brooks DH, Niedre M. (2014) On the use of the Cramér-Rao lower bound for diffuse optical imaging system design. Journal of Biomedical Optics. 19: 025002
Milanič M, Jazbinšek V, Macleod RS, et al. (2014) Assessment of regularization techniques for electrocardiographic imaging. Journal of Electrocardiology. 47: 20-8
Erem B, Ghodrati A, Tadmor G, et al. (2011) Combining initialization and solution inverse methods for inverse electrocardiography Journal of Electrocardiology. 44: e21
Hyde D, Miller EL, Brooks DH, et al. (2010) Data specific spatially varying regularization for multimodal fluorescence molecular tomography. Ieee Transactions On Medical Imaging. 29: 365-74
Calderero F, Ghodrati A, Brooks DH, et al. (2005) A method to reconstruct activation wavefronts without isotropy assumptions using a level sets approach Lecture Notes in Computer Science. 3504: 195-204
Srinidhi KG, Brooks DH. (1998) Edge preserving image restoration using convex optimization Ieee International Conference On Image Processing. 2: 823-827
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