Vaanathi Sundaresan

According to our database1, Vaanathi Sundaresan authored at least 16 papers between 2015 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 




Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021

Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.
NeuroImage, 2021

Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.
Medical Image Anal., 2021

Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.
Medical Image Anal., 2021

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Frontiers Neuroinformatics, 2021

Challenges for machine learning in clinical translation of big data imaging studies.
CoRR, 2021

Brain tumour segmentation using a triplanar ensemble of U-Nets.
CoRR, 2021

A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.
NeuroImage, 2019

Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
NeuroImage, 2019

Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
NeuroImage, 2016

Computer-assisted grading of diabetic macular edema on retinal color fundus images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015