Dana H. Brooks

Affiliations: 
Electrical and Computer Engineering Northeastern University, Boston, MA, United States 
Area:
Electronics and Electrical Engineering, Radiology
Website:
https://coe.northeastern.edu/people/brooks-dana/
Google:
"Dana Brooks"
Bio:

https://www.proquest.com/openview/132076360092097189b1a263369c06fc/1

Parents

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Chrysostomos L. Nikias grad student 1991 Northeastern University
 (The complex cepstrum of higher order cross-spectra: Definition, properties, and applications)
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Publications

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Cluitmans M, Coll-Font J, Erem B, et al. (2021) Spatiotemporal approximation of cardiac activation and recovery isochrones. Journal of Electrocardiology. 71: 1-9
Kose K, Bozkurt A, Fox CA, et al. (2019) Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy. The Journal of Investigative Dermatology
Lang RT, Tatz J, Kercher EM, et al. (2019) Multichannel correlation improves the noise tolerance of real-time hyperspectral microimage mosaicking. Journal of Biomedical Optics. 24: 1-9
Good WW, Erem B, Coll-Font J, et al. (2019) Novel Metric for Evaluating Ischemic Stress in Electrograms Using a Data-Driven Approach Journal of Electrocardiology. 57: S112-S113
Good WW, Erem B, Coll-Font J, et al. (2018) Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface. Computing in Cardiology. 45
Coll-Font J, Brooks DH. (2018) Tracking the Position of the Heart From Body Surface Potential Maps and Electrograms. Frontiers in Physiology. 9: 1727
Cluitmans M, Brooks DH, MacLeod R, et al. (2018) Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications. Frontiers in Physiology. 9: 1305
Good WW, Erem B, Zenger B, et al. (2018) Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress. Journal of Electrocardiology
Guler S, Dannhauer M, Roig-Solvas B, et al. (2018) Computationally optimized ECoG stimulation with local safety constraints. Neuroimage
Good WW, Erem B, Coll-Font J, et al. (2017) Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity. Computing in Cardiology. 44
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