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Arshia Eskandari
Arshia Eskandari
Department of Mechanical Engineering, K.N.Toosi University of Technology
Verified email at email.kntu.ac.ir
Title
Cited by
Cited by
Year
Using machine learning algorithms for grasp strength recognition in rehabilitation planning
T Boka, A Eskandari, SAA Moosavian, M Sharbatdar
Results in Engineering 21, 101660, 2024
42024
Efficient diagnosis of psoriasis and lichen planus cutaneous diseases using deep learning approach
A Eskandari, M Sharbatdar
Scientific Reports 14 (1), 9715, 2024
32024
Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve
A Eskandari, S Malek, A Jabbari, K Javari, N Rahmati, B Nikbakhtian, ...
Frontiers in Bioengineering and Biotechnology 13, 1438253, 2025
12025
Machine learning-based prediction of hemodynamic parameters in left coronary artery bifurcation: A CFD approach
S Malek, A Eskandari, M Sharbatdar
Heliyon, 2025
12025
Improve the Efficiency of the Yaskawa Motoman MH5 Robot for Utilization in Robot-Assisted Orthopedic Surgery
A Eskandari, A Sherafati, S Zein
Archives of Orthopaedics 2 (1), 12-19, 2021
12021
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