Kuberan Pushparajah

Orcid: 0000-0003-1541-1155

According to our database1, Kuberan Pushparajah authored at least 22 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Mixed reality holograms for percutaneous lead extraction of cardiac implantable electronic devices.
Virtual Real., March, 2024

2023
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.
CoRR, 2023

Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from Cine CMR with Improved Accuracy and Efficiency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-Guided In-Silico Characterization of 3D Fetal Arch Hemodynamics in Suspected Coarctation of the Aorta.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range.
Medical Image Anal., 2022

Evaluation of a Linear Measurement Tool in Virtual Reality for Assessment of Multimodality Imaging Data - A Phantom Study.
J. Imaging, 2022

Simplifying Disease Staging Models into a Single Anatomical Axis - A Case Study of Aortic Coarctation In-utero.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Ultra-Dense Denoising Network: Application to Cardiac Catheter-Based X-Ray Procedures.
IEEE Trans. Biomed. Eng., 2021

A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures.
J. Imaging, 2021

Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020
Applications of VR medical image visualization to chordal length measurements for cardiac procedures.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2019
Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Model-Based Indices of Early-Stage Cardiovascular Failure and Its Therapeutic Management in Fontan Patients.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2017
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

2016
A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data.
Comput. Medical Imaging Graph., 2016

2015
4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data.
IEEE Trans. Medical Imaging, 2015

2013
A sensitivity analysis on 3D velocity reconstruction from multiple registered echo Doppler views.
Medical Image Anal., 2013

3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Quantification of Transvalvular Flow through Composite Gaussian Surfaces from Temporally Interleaved Multi-view 3D Colour Doppler Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012


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