Roshan Reddy Upendra

Orcid: 0000-0001-6248-4942

According to our database1, Roshan Reddy Upendra authored at least 11 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

A 3D Convolutional Neural Network with Gradient Guidance for Image Super-Resolution of Late Gadolinium Enhanced Cardiac MRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Joint deep learning framework for image registration and segmentation of late gadolinium enhanced MRI and cine cardiac MRI.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Deep Learning Framework for Image Super-Resolution for Late Gadolinium Enhanced Cardiac MRI.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Automated segmentation of cardiac chambers from cine cardiac MRI using an adversarial network architecture.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

A Convolutional Neural Network-based Deformable Image Registration Method for Cardiac Motion Estimation from Cine Cardiac MR Images.
Proceedings of the Computing in Cardiology, 2020

2019
An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019


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