John C. Stendahl
Orcid: 0000-0002-1568-9280
According to our database1,
John C. Stendahl
authored at least 13 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, May, 2024
2023
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.
IEEE Trans. Medical Imaging, May, 2023
An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images.
CoRR, 2023
2021
IEEE Trans. Medical Imaging, 2021
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis.
Medical Image Anal., 2019
2018
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation.
CoRR, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016