Machine Learning

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
PDF Cite
ReSIST 2024 - Oral Presentation
Oral Presentation in 2nd Regional Symposium on Science and Technology on Neural Network-Based Inverse Model for Non-Invasive Estimation of Corneal Mechanical Properties
Jan 1, 2025 Ferdowsi University of Mashhad
Seyed Sadjad Abedi-Shahri, Mitra Baradari, Iman Zoljanahi Oskui
ReSIST 2024 - Oral Presentation
TPIC 2024 - Oral Presentation
Oral Presentation in 7th International Conference on Preclinical Imaging Applications on Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes Using Histological Microscopy Images
Nov 8, 2024 Tehran University of Medical Science
Seyed Sadjad Abedi-Shahri
TPIC 2024 - Oral Presentation