Sina Amirrajab
Orcid: 0000-0001-8226-7777
According to our database1,
Sina Amirrajab
authored at least 18 papers
between 2020 and 2024.
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Bibliography
2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges.
CoRR, 2024
Comput. Methods Programs Biomed., 2024
2023
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation.
Comput. Biol. Medicine, July, 2023
IEEE Trans. Medical Imaging, March, 2023
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images.
Medical Image Anal., 2023
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.
CoRR, 2023
2022
CoRR, 2022
CoRR, 2022
Comput. Methods Programs Biomed., 2022
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.
Comput. Medical Imaging Graph., 2022
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022
2021
Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology.
Comput. Biol. Medicine, 2021
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation.
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
2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020