受强制性开放获取政策约束的文章 - Roshan Reddy Upendra了解详情
可在其他位置公开访问的文章：13 篇
An adversarial network architecture using 2D U-net models for segmentation of left ventricle from cine cardiac MRI
RR Upendra, S Dangi, CA Linte
Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
A convolutional neural network-based deformable image registration method for cardiac motion estimation from cine cardiac MR images
RR Upendra, BJ Wentz, SM Shontz, CA Linte
2020 Computing in Cardiology, 1-4, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Joint deep learning framework for image registration and segmentation of late gadolinium enhanced MRI and cine cardiac MRI
RR Upendra, R Simon, CA Linte
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and …, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Automated segmentation of cardiac chambers from cine cardiac MRI using an adversarial network architecture
RR Upendra, S Dangi, CA Linte
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
CNN-based cardiac motion extraction to generate deformable geometric left ventricle myocardial models from cine MRI
RR Upendra, BJ Wentz, R Simon, SM Shontz, CA Linte
International Conference on Functional Imaging and Modeling of the Heart …, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
A 3D convolutional neural network with gradient guidance for image super-resolution of late gadolinium enhanced cardiac MRI
RR Upendra, CA Linte
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Motion extraction of the right ventricle from 4D cardiac cine MRI using a deep learning-based deformable registration framework
RR Upendra, SMK Hasan, R Simon, BJ Wentz, SM Shontz, MS Sacks, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
A supervised image registration approach for late gadolinium enhanced MRI and cine cardiac MRI using convolutional neural networks
RR Upendra, R Simon, CA Linte
Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
A deep learning framework for image super-resolution for late gadolinium enhanced cardiac MRI
RR Upendra, R Simon, CA Linte
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI Images
RR Upendra, R Simon, SM Shontz, CA Linte
International Conference on Functional Imaging and Modeling of the Heart …, 2023
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Deep learning architecture for 3D image super-resolution of late gadolinium enhanced cardiac MRI
RR Upendra, R Simon, CA Linte
Journal of Medical Imaging 10 (5), 051808-051808, 2023
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
CNN-based cardiac motion extraction to generate deformable geometric left ventricle models from cine MRI
RR Upendra, BJ Wenz, R Simon, SM Shontz, CA Linte
Proc. of the 11th International Conference on Functional Imaging and …, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Supervised Registration of Late Gadolinium Enhanced Cardiac MRI and Cine Cardiac MRI using Convolutional Neural Networks
RR Upendra, R Simon, CA Linte
Springer Comm Computer Inform Sci. 1248, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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