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Roshan Reddy Upendra
Roshan Reddy Upendra
PhD Candidate, Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology
Verified email at g.rit.edu
Title
Cited by
Cited by
Year
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
142019
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
82020
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
72021
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
72020
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
62021
Multimodal super resolution with dual domain loss and gradient guidance
AP Krishnan, RR Upendra, A Pramanik, Z Song, RAD Carano, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 91-100, 2022
42022
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
42021
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
42020
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
32022
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
22021
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
2023
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
2023
An Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks
RR Upendra
A Deep Learning-based Pipeline to Generate Patient-specific Anatomical …, 2023
2023
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Ventricular Models from Cine MRI
RR Upendra
A Deep Learning-based Pipeline to Generate Patient-specific Anatomical …, 2023
2023
A Deep Learning-based Pipeline to Generate Patient-specific Anatomical Models of the Heart Using Cardiac MRI
RR Upendra
Rochester Institute of Technology, 2023
2023
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