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Dawn Bardot
Dawn Bardot
Unknown affiliation
Verified email at abiomed.com
Title
Cited by
Cited by
Year
Assessing credibility of computational modeling through verification and validation: application to medical devices
A V&V40
The American Society of Mechanical Engineers, 2018
902018
Incorporation of stochastic engineering models as prior information in Bayesian medical device trials
T Haddad, A Himes, L Thompson, T Irony, R Nair, ...
Journal of biopharmaceutical statistics 27 (6), 1089-1103, 2017
502017
Electrical neurostimulation with imbalanced waveform mitigates dissolution of platinum electrodes
D Kumsa, EM Hudak, FW Montague, SC Kelley, DF Untereker, BP Hahn, ...
Journal of neural engineering 13 (5), 054001, 2016
442016
Carbon dioxide removal system for closed loop atmosphere revitalization, candidate sorbents screening and test results
EM Mattox, JC Knox, DM Bardot
Acta Astronautica 86, 39-46, 2013
302013
Parkinson’s patients’ tolerance for risk and willingness to wait for potential benefits of novel neurostimulation devices: a patient-centered threshold technique study
B Hauber, B Mange, M Zhou, S Chaudhuri, HL Benz, B Caldwell, JP Ruiz, ...
MDM policy & practice 6 (1), 2381468320978407, 2021
272021
Public regulatory databases as a source of insight for neuromodulation devices stimulation parameters
D Kumsa, GK Steinke, GF Molnar, EM Hudak, FW Montague, SC Kelley, ...
Neuromodulation: Technology at the Neural Interface 21 (2), 117-125, 2018
202018
Using Bayesian inference for parameter estimation when the system response and experimental conditions are measured with error and some variables are considered as nuisance …
AF Emery, E Valenti, D Bardot
Measurement Science and Technology 18 (1), 19, 2006
162006
Determination of the sensitivity of heat transfer systems using global sensitivity and Gaussian processes
AF Emery, D Bardot
112007
Augmenting a clinical study with virtual patient models: Food and Drug Administration and industry collaboration
A Himes, T Haddad, D Bardot, ...
Journal of Medical Devices 10 (3), 030947, 2016
102016
Patient-centered identification of meaningful regulatory endpoints for medical devices to treat Parkinson’s disease
HL Benz, B Caldwell, JP Ruiz, A Saha, M Ho, S Christopher, D Bardot, ...
MDM Policy & Practice 6 (1), 23814683211021380, 2021
92021
Uncertainty anlaysis of the experimental results investigating the effects of turbulence intensity on the performance of rotating vane anemometers/Discussion
BT Beck, DM Bardot, MH Hosni
ASHRAE Transactions 108, 434, 2002
92002
Experimental determination of the effects of turbulence intensity on the performance of rotating vane anemometers
DM Morris, BT Beck, MH Hosni
ASHRAE Transactions 107, 215, 2001
82001
V&V 40–2018
A Standard
Assessing Credibility of Com putational Modeling through Verification and …, 0
7
Use of Bayesian decision analysis to maximize value in patient-centered randomized clinical trials in Parkinson’s disease
SE Chaudhuri, Z Ben Chaouch, B Hauber, B Mange, M Zhou, ...
Journal of Biopharmaceutical Statistics, 1-20, 2023
62023
Uncertainty Analysis, Verification and Validation of a Stress Concentration in a Cantilever Beam
S Kargar, DM Bardot
Simulation 1 (16080), 0.8213, 2010
62010
Therapy cast
G Fischer, D Bardot, M Dahl, K Miyasaka, L Nilsson
US Patent App. 13/529,930, 2013
52013
Stochastic heat transfer in fins and transient cooling using polynomial chaos and wick products
AF Emery, D Bardot
42007
Stochastic heat transfer in fins and transient cooling using polynomial chaos and wick products
AF Emery, D Bardot
Heat Transfer Summer Conference 46938, 171-178, 2004
42004
Parameter estimation for highly nonlinear models with noisy data
AF Emery, D Bardot
Heat Transfer Summer Conference 36959, 739-748, 2003
42003
The need for understanding and engaging the patient as consumer of products developed by neural engineering
J French, D Bardot, E Graczyk, A Hess-Dunning, JL Lujan, M Moynahan, ...
Journal of neural engineering 15 (4), 040201, 2018
22018
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