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Jamshid Ghaboussi

Showing results (1-10 of 8) with videos related to

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Biomechanics and Modeling in Mechanobiology|March 30, 2026
3d elastic-modulus imaging using ultrasound linear arrays and efficient data-driven training strategiesWill Newman, Jamshid Ghaboussi, Michael F Insana
IEEE Transactions on Medical Imaging|November 8, 2018
Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive MethodCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
The Journal of the Acoustical Society of America|March 12, 2026
Factors determining the quality of learned elastic-modulus images from ultrasonic measurementsWill Newman, Jamshid Ghaboussi, Michael F Insana
Physics in Medicine and Biology|February 12, 2020
Physics-guided machine learning for 3-D quantitative quasi-static elasticity imagingCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
Biomechanics and Modeling in Mechanobiology|November 19, 2016
An information-based machine learning approach to elasticity imagingCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
Journal of the Mechanical Behavior of Biomedical Materials|April 1, 2022
A data-driven approach to characterizing nonlinear elastic behavior of soft materialsYiliang Wang, Jamshid Ghaboussi, Cameron Hoerig, et al.
Journal of Refractive Surgery (Thorofare, N.J. : 1995)|September 1, 2009
Role of corneal biomechanical properties in applanation tonometry measurementsTae-Hyun Kwon, Jamshid Ghaboussi, David A Pecknold, et al.
Journal of Biomechanics|August 8, 2009
Accurate intraocular pressure prediction from applanation response data using genetic algorithm and neural networksJamshid Ghaboussi, Tae-Hyun Kwon, David A Pecknold, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biomechanics and Modeling in Mechanobiology|March 30, 2026
3d elastic-modulus imaging using ultrasound linear arrays and efficient data-driven training strategiesWill Newman, Jamshid Ghaboussi, Michael F Insana
IEEE Transactions on Medical Imaging|November 8, 2018
Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive MethodCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
The Journal of the Acoustical Society of America|March 12, 2026
Factors determining the quality of learned elastic-modulus images from ultrasonic measurementsWill Newman, Jamshid Ghaboussi, Michael F Insana
Physics in Medicine and Biology|February 12, 2020
Physics-guided machine learning for 3-D quantitative quasi-static elasticity imagingCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
Biomechanics and Modeling in Mechanobiology|November 19, 2016
An information-based machine learning approach to elasticity imagingCameron Hoerig, Jamshid Ghaboussi, Michael F Insana
Journal of the Mechanical Behavior of Biomedical Materials|April 1, 2022
A data-driven approach to characterizing nonlinear elastic behavior of soft materialsYiliang Wang, Jamshid Ghaboussi, Cameron Hoerig, et al.
Journal of Refractive Surgery (Thorofare, N.J. : 1995)|September 1, 2009
Role of corneal biomechanical properties in applanation tonometry measurementsTae-Hyun Kwon, Jamshid Ghaboussi, David A Pecknold, et al.
Journal of Biomechanics|August 8, 2009
Accurate intraocular pressure prediction from applanation response data using genetic algorithm and neural networksJamshid Ghaboussi, Tae-Hyun Kwon, David A Pecknold, et al.
Pageof 1