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Julia Kar

Showing results (1-10 of 19) with videos related to

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Annals of Biomedical Engineering|September 28, 2012
A musculoskeletal modeling approach for estimating anterior cruciate ligament strains and knee anterior-posterior shear forces in stop-jumps performed by young recreational female athletesJulia Kar, Peter M Quesada
Annals of Biomedical Engineering|April 25, 2012
A numerical simulation approach to studying anterior cruciate ligament strains and internal forces among young recreational women performing valgus inducing stop-jump activitiesJulia Kar, Peter M Quesada
Journal of Chemical Information and Computer Sciences|May 28, 2003
OptDesign: extending optimizable k-dissimilarity selection to combinatorial library designRobert D Clark, Julia Kar, Lakshmi Akella, et al.
Magnetic Resonance Imaging|December 29, 2022
Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a prospective study?Julia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Annals of Biomedical Engineering|October 24, 2013
A validation of two-dimensional in vivo regional strain computed from displacement encoding with stimulated echoes (DENSE), in reference to tagged magnetic resonance imaging and studies in repeatabilityJulia Kar, Andrew K Knutsen, Brian P Cupps, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2020
Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicityJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Magnetic Resonance Imaging|February 11, 2021
A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicityBy Julia Kar, Michael V Cohen, Samuel P McQuiston, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 21, 2024
Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patientsJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 23, 2014
Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRIJulia Kar, Andrew K Knutsen, Brian P Cupps, et al.
Journal of Biomechanics|December 6, 2021
Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional networkJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Annals of Biomedical Engineering|September 28, 2012
A musculoskeletal modeling approach for estimating anterior cruciate ligament strains and knee anterior-posterior shear forces in stop-jumps performed by young recreational female athletesJulia Kar, Peter M Quesada
Annals of Biomedical Engineering|April 25, 2012
A numerical simulation approach to studying anterior cruciate ligament strains and internal forces among young recreational women performing valgus inducing stop-jump activitiesJulia Kar, Peter M Quesada
Journal of Chemical Information and Computer Sciences|May 28, 2003
OptDesign: extending optimizable k-dissimilarity selection to combinatorial library designRobert D Clark, Julia Kar, Lakshmi Akella, et al.
Magnetic Resonance Imaging|December 29, 2022
Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a prospective study?Julia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Annals of Biomedical Engineering|October 24, 2013
A validation of two-dimensional in vivo regional strain computed from displacement encoding with stimulated echoes (DENSE), in reference to tagged magnetic resonance imaging and studies in repeatabilityJulia Kar, Andrew K Knutsen, Brian P Cupps, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2020
Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicityJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Magnetic Resonance Imaging|February 11, 2021
A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicityBy Julia Kar, Michael V Cohen, Samuel P McQuiston, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 21, 2024
Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patientsJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 23, 2014
Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRIJulia Kar, Andrew K Knutsen, Brian P Cupps, et al.
Journal of Biomechanics|December 6, 2021
Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional networkJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.
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