Dana H. Brooks

Electrical and Computer Engineering Northeastern University, Boston, MA, United States 
Electronics and Electrical Engineering, Radiology
"Dana Brooks"
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Jacobs-Skolik SL, Liang D, Brooks DH, et al. (2020) A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 3285-3288
Yarossi M, Quivira F, Dannhauer M, et al. (2019) An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. International Ieee/Embs Conference On Neural Engineering : [Proceedings]. International Ieee Embs Conference On Neural Engineering. 2019: 1122-1125
Schaufelberger M, Schuler S, Bear L, et al. (2019) Comparison of Activation Times Estimation for Potential-Based ECG Imaging. Computing in Cardiology. 46
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
Tate JD, Zemzemi N, Good WW, et al. (2018) Effect of Segmentation Variation on ECG Imaging. Computing in Cardiology. 45
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, Wang L, Brooks DH. (2018) A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models. 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
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