Enrico Schileo

Dr. Enrico Schileo

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2008 in Clinical Biomechanics
Verified
Journal Article
Closed access
BHBenedikt Helgason
Benedikt Helgason
EPEgon Perilli
Egon Perilli
ESEnrico Schileo
Enrico Schileo
FTFulvia Taddei
Fulvia Taddei
SBSigurdur Brynjolfsson
Sigurdur Brynjolfsson
MVMarco Viceconti
Marco Viceconti


1 August 2008 in Journal of Biomechanics
Verified
Journal Article
Closed access
ESEnrico Schileo
Enrico Schileo
Enrico Dall'AraEnrico Dall'Ara
Enrico Dall'Ara
FTFulvia Taddei
Fulvia Taddei
AMAndrea Malandrino
Andrea Malandrino
TSTom Schotkamp
Tom Schotkamp
Marco VicecontiMarco Viceconti
Marco Viceconti

12 December 2006 in Medical Engineering & Physics
Verified
Journal Article
Closed access
FTFulvia Taddei
Fulvia Taddei
ESEnrico Schileo
Enrico Schileo
BHBenedikt Helgason
Benedikt Helgason
LCLuca Cristofolini
Luca Cristofolini
Marco VicecontiMarco Viceconti
Marco Viceconti
Aim of the present study was to evaluate the influence on the global model's accuracy of the strategy adopted to define the average element Young's modulus in subject-specific finite element models of bones from computed tomography data. The classic strategy of calculating the Young's modulus from an average element density and the one that averages the Young's moduli directly derived from each voxel Hounsfield Unit were considered. These strategies were applied to the finite element model of a real human femur. The accuracy of the superficial stress and strain predictions was evaluated against experimentally measured values in 13 strain-gauge locations for five different loading conditions. The results obtained for the two material distributions were statistically different. Both models predicted very accurately the superficial stresses, with regression coefficients higher than 0.9 and slopes not significantly different from unity. The second strategy definitely improved the strains prediction accuracy: the regression coefficient raised from 0.69 to 0.79; the average and peak errors decreased from 45.1% to 31.3% and from 228% to 134% of the maximum measured strain, respectively. The stress fields predicted inside the bone were also significantly different. A new software implementing the second strategy was made available in the public domain.

1 January 2007 in Journal of Biomechanics
Verified
Journal Article
Closed access
ESEnrico Schileo
Enrico Schileo
FTFulvia Taddei
Fulvia Taddei
AMAndrea Malandrino
Andrea Malandrino
LCLuca Cristofolini
Luca Cristofolini
MVMarco Viceconti
Marco Viceconti

1 November 2014 in Journal of Biomechanics
Verified
Journal Article
Closed access
ESEnrico Schileo
Enrico Schileo
LBLuca Balistreri
Luca Balistreri
LGLorenzo Grassi
Lorenzo Grassi
LCLuca Cristofolini
Luca Cristofolini
FTFulvia Taddei
Fulvia Taddei