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Suzanne M Shontz

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

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Computing in Cardiology|June 1, 2022
High-Order Cardiomyopathy Human Heart Model and Mesh GenerationFariba Mohammadi, Suzanne M Shontz, Cristian A Linte
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|October 11, 2024
Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI ImagesRoshan Reddy Upendra, Richard Simon, Suzanne M Shontz, et al.
Computing in Cardiology|June 3, 2021
A Convolutional Neural Network-based Deformable Image Registration Method for Cardiac Motion Estimation from Cine Cardiac MR ImagesRoshan Reddy Upendra, Brian Jamison Wentz, Suzanne M Shontz, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|May 22, 2023
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRIRoshan Reddy Upendra, Brian Jamison Wentz, Richard Simon, et al.
Medical Physics|August 14, 2024
TEAM: Triangular-mEsh Adaptive and Multiscale proton spot generation methodChao Wang, Bowen Lin, Yuting Lin, et al.
Journal of Biomechanical Engineering|May 9, 2014
A computational method for predicting inferior vena cava filter performance on a patient-specific basisKenneth I Aycock, Robert L Campbell, Keefe B Manning, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration FrameworkRoshan Reddy Upendra, S M Kamrul Hasan, Richard Simon, et al.
Computing in Cardiology|July 23, 2020
Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function AssessmentNiels F Otani, Dylan Dang, Christopher Beam, et al.
Pageof 1

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

Sort By:
Pageof 1
Computing in Cardiology|June 1, 2022
High-Order Cardiomyopathy Human Heart Model and Mesh GenerationFariba Mohammadi, Suzanne M Shontz, Cristian A Linte
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|October 11, 2024
Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI ImagesRoshan Reddy Upendra, Richard Simon, Suzanne M Shontz, et al.
Computing in Cardiology|June 3, 2021
A Convolutional Neural Network-based Deformable Image Registration Method for Cardiac Motion Estimation from Cine Cardiac MR ImagesRoshan Reddy Upendra, Brian Jamison Wentz, Suzanne M Shontz, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|May 22, 2023
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRIRoshan Reddy Upendra, Brian Jamison Wentz, Richard Simon, et al.
Medical Physics|August 14, 2024
TEAM: Triangular-mEsh Adaptive and Multiscale proton spot generation methodChao Wang, Bowen Lin, Yuting Lin, et al.
Journal of Biomechanical Engineering|May 9, 2014
A computational method for predicting inferior vena cava filter performance on a patient-specific basisKenneth I Aycock, Robert L Campbell, Keefe B Manning, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration FrameworkRoshan Reddy Upendra, S M Kamrul Hasan, Richard Simon, et al.
Computing in Cardiology|July 23, 2020
Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function AssessmentNiels F Otani, Dylan Dang, Christopher Beam, et al.
Pageof 1