| BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities L Griffanti, G Zamboni, A Khan, L Li, G Bonifacio, V Sundaresan, ... Neuroimage 141, 191-205, 2016 | 364 | 2016 |
| Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021 | 274 | 2021 |
| Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks V Sundaresan, CP Bridge, C Ioannou, JA Noble 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 62 | 2017 |
| Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images V Sundaresan, G Zamboni, PM Rothwell, M Jenkinson, L Griffanti Medical image analysis 73, 102184, 2021 | 43 | 2021 |
| Automated lesion segmentation with BIANCA: impact of population-level features, classification algorithm and locally adaptive thresholding V Sundaresan, G Zamboni, C Le Heron, PM Rothwell, M Husain, ... NeuroImage 202, 116056, 2019 | 40 | 2019 |
| Challenges for machine learning in clinical translation of big data imaging studies NK Dinsdale, E Bluemke, V Sundaresan, M Jenkinson, SM Smith, ... Neuron 110 (23), 3866-3881, 2022 | 25 | 2022 |
| Brain tumour segmentation using a triplanar ensemble of U-Nets on MR images V Sundaresan, L Griffanti, M Jenkinson International MICCAI brainlesion workshop, 340-353, 2020 | 19 | 2020 |
| A 2-step deep learning method with domain adaptation for multi-centre, multi-vendor and multi-disease cardiac magnetic resonance segmentation J Corral Acero, V Sundaresan, N Dinsdale, V Grau, M Jenkinson Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 17 | 2021 |
| White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance L Melazzini, CE Mackay, V Bordin, S Suri, E Zsoldos, N Filippini, ... NeuroImage: Clinical 30, 102616, 2021 | 17 | 2021 |
| Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets V Bordin, I Bertani, I Mattioli, V Sundaresan, P McCarthy, S Suri, ... NeuroImage 237, 118189, 2021 | 16 | 2021 |
| Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference V Sundaresan, L Griffanti, P Kindalova, F Alfaro-Almagro, G Zamboni, ... NeuroImage 185, 434-445, 2019 | 12 | 2019 |
| Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images V Sundaresan, G Zamboni, NK Dinsdale, PM Rothwell, L Griffanti, ... Medical Image Analysis 74, 102215, 2021 | 9 | 2021 |
| Computer-assisted grading of diabetic macular edema on retinal color fundus images V Sundaresan, K Ram, N Joshi, M Sivaprakasam, R Gandhi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| Automated detection of candidate subjects with cerebral microbleeds using machine learning V Sundaresan, C Arthofer, G Zamboni, RA Dineen, PM Rothwell, ... Frontiers in neuroinformatics 15, 777828, 2022 | 6 | 2022 |
| Adaptive super-candidate based approach for detection and classification of drusen on retinal fundus images V Sundaresan, K Ram, K Selvaraj, N Joshi, M Sivaprakasam Proceedings of the Ophthalmic Medical Image Analysis International Workshop …, 2015 | 5 | 2015 |
| Automated detection of cerebral microbleeds on MR images using knowledge distillation framework V Sundaresan, C Arthofer, G Zamboni, AG Murchison, RA Dineen, ... Frontiers in Neuroinformatics 17, 1204186, 2023 | 2 | 2023 |
| Integrated approach for accurate localization of optic disc and macula V Sundaresan, K Ram, N Joshi, M Sivaprakasam, R Gandhi Proceedings of the Ophthalmic Medical Image Analysis International Workshop …, 2014 | 2 | 2014 |
| Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the uk biobank V Sundaresan, NK Dinsdale, M Jenkinson, L Griffanti 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 1 | 2022 |
| Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data V Sundaresan, JF Lehman, C Maffei, SN Haber, A Yendiki bioRxiv, 2023 | | 2023 |
| Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images SH Ramananda, V Sundaresan arXiv preprint arXiv:2309.16627, 2023 | | 2023 |
Ludovica GriffantiWellcome Centre for Integrative Neuroimaging (WIN), University of OxfordGeverifieerd e-mailadres voor psych.ox.ac.uk
