Paper-Conference

Neural Network-Based Inverse Model for Non-Invasive Estimation of Corneal Mechanical Properties
A neural network-based inverse model was developed to predict Ogden material parameters from corneal apex displacement data.
Seyed Sadjad Abedi-Shahri, Mitra Baradari, Iman Zoljanahi Oskui
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Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes Using Histological Microscopy Images
The objective of this research is to develop and validate a deep learning model for predicting the hypertrophy index from histological microscopy images of pulmonary circulation vessels.
Seyed Sadjad Abedi-Shahri
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Analysis of Hip Implants in Osteoporotic Patients Using the Finite Element Method for Optimal Selection Among Commercially Available Implants
In this study, six implant stem designs were considered, and finite element analysis was performed on these six models.
Shadi Ghofrani, Farzan Ghalichi, Seyed Sadjad Abedi-Shahri
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Numerical analysis of human head with implant under impact
A three-dimensional model of the human head was extracted using medical images. Eight loading scenarios were considered to compare different impact characteristics.
Seyed Sadjad Abedi-Shahri, Farzan Ghalichi, Iman Zoljanahi Oskui, Mojtaba Yazdani
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Numerical analysis of human head with implant under impact