| 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 | 17 | 2019 |
| 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 | 13 | 2020 |
| 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 | 11 | 2021 |
| 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 | 10 | 2020 |
| 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 | 9 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 3 | 2023 |
| 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 |
| 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 |
| 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 |
| 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 | | 2021 |
| CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI R Reddy Upendra, B Jamison Wentz, R Simon, SM Shontz, CA Linte arXiv e-prints, arXiv: 2103.16695, 2021 | | 2021 |
| 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 | | 2020 |
