John C. Stendahl

Orcid: 0000-0002-1568-9280

According to our database1, John C. Stendahl authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging.
IEEE Trans. Biomed. Eng., November, 2024

Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography.
IEEE Trans. Medical Imaging, May, 2024

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration.
Proceedings of the Computer Vision - ECCV 2024, 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
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation.
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
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.
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


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