Vaanathi Sundaresan
Orcid: 0000-0002-9451-4779
According to our database1,
Vaanathi Sundaresan
authored at least 18 papers
between 2015 and 2023.
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Bibliography
2023
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
Frontiers Neuroinformatics, March, 2023
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images.
CoRR, 2023
2022
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
2021
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
CoRR, 2021
2020
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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
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
2017
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
2016
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
NeuroImage, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015