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All abstract submissions are general. Upon review, they will be placed as either an oral or poster presentation. By submitting, you agree to register and attend the ASME SB3C Summer Bioengineering Conference
The paper title should be typed in upper and lowercase letters, not all capital letters or all lowercase letters. Example: This Is How the Paper Title Should Be Typed A Neural Network Surrogate and Inverse Finite Element Framework to Identify Human Airway Material Properties
Provide a synopsis (or cut and paste text from a word-processing file) in the space below. Minimum 10 words, maximum 100 words. Your synopsis should describe the purpose of the study (e.g. “The purpose of this study was to investigate the effects of caffeine on SBC abstract quality”.).

The purpose of this study was to develop a computational neural network and inverse finite element analysis framework to identify, for the first time, the structural response of proximal and distal human cadaveric lung airways. The extracted material properties aim to enhance airway model accuracy and improve bronchoscopic interventions.

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Arif
Badrou
University of California Riverside, Riverside, CA, USA
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A Neural Network Surrogate and Inverse Finite Element Framework to Identify Human Airway Material Properties

Paper Type

Extended Abstract

Description

Sunday June 22nd, 4:15 PM - 5:45 PM

Technical

Session Chairs: Sara Roccabianca, Manuel Rausch