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Effect of uncertainties in musculoskeletal modeling inputs on sensitivity of knee joint finite element simulations
Jahangir, Sana, Bosch, Will, Esrafilian, Amir, Mononen, Mika E., Tanska, Petri, Stenroth, Lauri, Henriksen, Marius, Alkjær, Tine, Korhonen, Rami K.
Published in Medical engineering & physics (01.04.2025)
Published in Medical engineering & physics (01.04.2025)
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Are volatility estimators robust with respect to modeling assumptions?
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Mathematical modeling system for maximum and minimum achievable accelerations of electrohydraulically-operated belt variator, includes laminar and turbulent hydraulic system modeling assumptions
VORNDRAN, RALF, DANZ, WOLFGANG, SCHWENGER, ANDREAS, PIEPENBRINK, ANDREAS, REITER, FRIEDRICH
Year of Publication 05.04.2001
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Year of Publication 05.04.2001
Patent
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SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
Shiao, Han-Tai, Cherkassky, Vladimir, Lee, Jieun, Veber, Brandon, Patterson, Edward E., Brinkmann, Benjamin H., Worrell, Gregory A.
Published in IEEE transactions on biomedical engineering (01.05.2017)
Published in IEEE transactions on biomedical engineering (01.05.2017)
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The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics
Long, Qunfang, Bhinge, Suchita, Levin‐Schwartz, Yuri, Boukouvalas, Zois, Calhoun, Vince D., Adalı, Tülay
Published in Human brain mapping (01.02.2019)
Published in Human brain mapping (01.02.2019)
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Semiparametric allocation of subjects to cohort strata
Walker, Alexander M, Russo, Massimiliano, Schneeweiss, Maria C, Glynn, Robert J
Published in Epidemiology (Cambridge, Mass.) (01.03.2024)
Published in Epidemiology (Cambridge, Mass.) (01.03.2024)
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Reduction of RANS/LES combustion sub-models for quasi-dimensional spark ignition engine simulations and evaluation of the modelling assumptions with DNS
Bardis, Konstantinos, Kyrtatos, Panagiotis, Frouzakis, Christos E., Wright, Yuri M., Giannakopoulos, George K., Boulouchos, Konstantinos
Published in Combustion and flame (01.10.2020)
Published in Combustion and flame (01.10.2020)
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Improving Efficiency and Robustness of the Prognostic Accuracy of Biomarkers With Partial Incomplete Failure‐Time Data and Auxiliary Outcome: Application to Prostate Cancer Active Surveillance Study
Chung, Yunro, Cai, Tianxi, Newcomb, Lisa, Lin, Daniel W., Zheng, Yingye
Published in Statistics in medicine (01.04.2025)
Published in Statistics in medicine (01.04.2025)
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