Vaanathi Sundaresan
University of Oxford
H-index: 11
Europe-United Kingdom
Top articles of Vaanathi Sundaresan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework | Frontiers in Neuroinformatics | Vaanathi Sundaresan Christoph Arthofer Giovanna Zamboni Andrew G Murchison Robert A Dineen | 2023 |
Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data | bioRxiv | Vaanathi Sundaresan Julia F Lehman Chiara Maffei Suzanne N Haber Anastasia Yendiki | 2023/10/2 |
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images | arXiv preprint arXiv:2309.16627 | Shreyas H Ramananda Vaanathi Sundaresan | 2023/9/28 |
Challenges for machine learning in clinical translation of big data imaging studies | Nicola K Dinsdale Emma Bluemke Vaanathi Sundaresan Mark Jenkinson Stephen M Smith | 2022/12/7 | |
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data | Vaanathi Sundaresan Julia F Lehman Sean Fitzgibbon Saad Jbabdi Suzanne N Haber | 2022/9/15 | |
Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the uk biobank | Vaanathi Sundaresan Nicola K Dinsdale Mark Jenkinson Ludovica Griffanti | 2022/3/28 | |
Automated detection of candidate subjects with cerebral microbleeds using machine learning | Frontiers in neuroinformatics | Vaanathi Sundaresan Christoph Arthofer Giovanna Zamboni Robert A Dineen Peter M Rothwell | 2022/1/20 |
White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance | NeuroImage: Clinical | Luca Melazzini Clare E Mackay Valentina Bordin Sana Suri Enikő Zsoldos | 2021/1/1 |
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images | Medical Image Analysis | Vaanathi Sundaresan Giovanna Zamboni Nicola K Dinsdale Peter M Rothwell Ludovica Griffanti | 2021/12/1 |
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images | Medical image analysis | Vaanathi Sundaresan Giovanna Zamboni Peter M Rothwell Mark Jenkinson Ludovica Griffanti | 2021/10/1 |
Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets | NeuroImage | Valentina Bordin Ilaria Bertani Irene Mattioli Vaanathi Sundaresan Paul McCarthy | 2021/8/15 |
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge | IEEE Transactions on Medical Imaging | Victor M Campello Polyxeni Gkontra Cristian Izquierdo Carlos Martin-Isla Alireza Sojoudi | 2021/6/17 |
A 2-step deep learning method with domain adaptation for multi-centre, multi-vendor and multi-disease cardiac magnetic resonance segmentation | Jorge Corral Acero Vaanathi Sundaresan Nicola Dinsdale Vicente Grau Mark Jenkinson | 2021 | |
Brain tumour segmentation using a triplanar ensemble of U-Nets on MR images | Vaanathi Sundaresan Ludovica Griffanti Mark Jenkinson | 2020/10/4 | |
Triplanar U-Net Ensemble Network (TrUE-Net) for segmentation of WMHs on brain MR images | Vaanathi Sundaresan Mark Jenkinson Ludovica Griffanti | 2020/6/25 |
Co-Authors
