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2020 – today
- 2024
[j10]Vivek Noel Soren, H. S. Prajwal, Vaanathi Sundaresan:
Automated grading of diabetic retinopathy and Radiomics analysis on ultra-wide optical coherence tomography angiography scans. Image Vis. Comput. 151: 105292 (2024)- 2023
- [j9]Vaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni
, Andrew G. Murchison, Robert A. Dineen, Peter M. Rothwell, Dorothee P. Auer, Chaoyue Wang, Karla L. Miller, Benjamin C. Tendler, Fidel Alfaro-Almagro, Stamatios N. Sotiropoulos, Nikola Sprigg, Ludovica Griffanti, Mark Jenkinson:
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. Frontiers Neuroinformatics 17 (2023) - [i4]Shreyas H. Ramananda, Vaanathi Sundaresan:
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images. CoRR abs/2309.16627 (2023) - 2022
- [c6]Vaanathi Sundaresan, Nicola K. Dinsdale, Mark Jenkinson, Ludovica Griffanti:
Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. ISBI 2022: 1-4 - [c5]Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki:
Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data. MOVI@MICCAI 2022: 115-125 - [i3]Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki:
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data. CoRR abs/2208.03569 (2022) - 2021
- [j8]Vaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, Robert A. Dineen, Peter M. Rothwell, Stamatios N. Sotiropoulos, Dorothee P. Auer, Daniel J. Tozer, Hugh S. Markus, Karla L. Miller, Iulius Dragonu, Nikola Sprigg, Fidel Alfaro-Almagro, Mark Jenkinson, Ludovica Griffanti:
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. Frontiers Neuroinformatics 15: 777828 (2021) - [j7]Vaanathi Sundaresan, Giovanna Zamboni, Peter M. Rothwell, Mark Jenkinson, Ludovica Griffanti:
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Anal. 73: 102184 (2021) - [j6]Vaanathi Sundaresan, Giovanna Zamboni, Nicola K. Dinsdale, Peter M. Rothwell, Ludovica Griffanti, Mark Jenkinson:
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Anal. 74: 102215 (2021) - [j5]Valentina Bordin, Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul McCarthy, Sana Suri, Eniko Zsoldos, Nicola Filippini, Abda Mahmood, Luca Melazzini, Maria Marcella Laganà, Giovanna Zamboni, Archana Singh-Manoux, Mika Kivimäki, Klaus P. Ebmeier, Giuseppe Baselli, Mark Jenkinson, Clare E. Mackay, Eugene P. Duff, Ludovica Griffanti:
Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets. NeuroImage 237: 118189 (2021) - [j4]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [i2]Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson:
Brain tumour segmentation using a triplanar ensemble of U-Nets. CoRR abs/2105.11356 (2021) - [i1]Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I. L. Namburete:
Challenges for machine learning in clinical translation of big data imaging studies. CoRR abs/2107.05630 (2021) - 2020
- [c4]Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson:
Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. BrainLes@MICCAI (1) 2020: 340-353 - [c3]Jorge Corral Acero, Vaanathi Sundaresan, Nicola K. Dinsdale, Vicente Grau, Mark Jenkinson:
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 196-207
2010 – 2019
- 2019
- [j3]Vaanathi Sundaresan, Ludovica Griffanti, Petya Kindalova, Fidel Alfaro-Almagro, Giovanna Zamboni, Peter M. Rothwell, Thomas E. Nichols, Mark Jenkinson:
Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference. NeuroImage 185: 434-445 (2019) - [j2]Vaanathi Sundaresan, Giovanna Zamboni, Campbell Le Heron, Peter M. Rothwell, Masud Husain, Marco Battaglini, Nicola De Stefano, Mark Jenkinson, Ludovica Griffanti:
Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding. NeuroImage 202 (2019) - 2017
- [c2]Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. ISBI 2017: 671-674 - 2016
- [j1]Ludovica Griffanti, Giovanna Zamboni, Aamira Khan, Linxin Li, Guendalina Bonifacio, Vaanathi Sundaresan, Ursula G. Schulz, Wilhelm Kuker, Marco Battaglini, Peter M. Rothwell, Mark Jenkinson:
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. NeuroImage 141: 191-205 (2016) - 2015
- [c1]Vaanathi Sundaresan, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Computer-assisted grading of diabetic macular edema on retinal color fundus images. EMBC 2015: 4330-4333
Coauthor Index
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