Sina Amirrajab

Orcid: 0000-0001-8226-7777

According to our database1, Sina Amirrajab authored at least 16 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation.
Comput. Biol. Medicine, July, 2023

A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast.
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

Histogram- and Diffusion-Based Medical Out-of-Distribution Detection.
CoRR, 2023

A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.
CoRR, 2023

2022
Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs.
CoRR, 2022

sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs.
CoRR, 2022

Optimized automated cardiac MR scar quantification with GAN-based data augmentation.
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

Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs.
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
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model.
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


  Loading...