Vaanathi Sundaresan

28 papers Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Attentive Latent Replay for Continual Learning in Pathology. ISBI Arijit Patra, Jinge Wu, Vaanathi Sundaresan, Honghan Wu, Phil Scordis
2025	J	`jnl`	Automated detection of lacunes in brain MR images using SAM with robust prompts using self-distillation and anatomy-informed priors. Comput. Biol. Medicine Pon Deepika, Gouri Shanker, Ramanujam Narayanan, Vaanathi Sundaresan
2025	—	`conf`	Inter-class Separability Loss for Weakly Supervised Mutually Exclusive Multiclass Segmentation of Brain Tumor Lesions. MICCAI (8) Vivek Dhamale, Vaanathi Sundaresan
2025	J	`jnl`	MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes. Pattern Recognit. Lett. Ramanujam Narayanan, Vaanathi Sundaresan
2025	—	`conf`	Traumatic Brain Injury Segmentation Using an Ensemble of Encoder-Decoder Models. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) Ghanshyam Dhamat, Vaanathi Sundaresan
2025	J	`jnl`	Traumatic Brain Injury Segmentation using an Ensemble of Encoder-decoder Models. CoRR Ghanshyam Dhamat, Vaanathi Sundaresan
2024	—	`conf`	Automated Quality Assessment Using Appearance-Based Simulations and Hippocampus Segmentation on Low-Field Paediatric Brain MR Images. LISA@MICCAI Vaanathi Sundaresan, Nicola K. Dinsdale
2024	J	`jnl`	Automated grading of diabetic retinopathy and Radiomics analysis on ultra-wide optical coherence tomography angiography scans. Image Vis. Comput. Vivek Noel Soren, H. S. Prajwal, Vaanathi Sundaresan
2024	J	`jnl`	Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images. CoRR Vaanathi Sundaresan, Nicola K. Dinsdale
2023	J	`jnl`	Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. Frontiers Neuroinformatics 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
2023	J	`jnl`	Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images. CoRR Shreyas H. Ramananda, Vaanathi Sundaresan
2022	—	`conf`	Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data. MOVI@MICCAI Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki
2022	J	`jnl`	Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data. CoRR Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki
2022	—	`conf`	Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. ISBI Vaanathi Sundaresan, Nicola K. Dinsdale, Mark Jenkinson, Ludovica Griffanti
2021	J	`jnl`	Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. Frontiers Neuroinformatics 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
2021	J	`jnl`	Brain tumour segmentation using a triplanar ensemble of U-Nets. CoRR Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson
2021	J	`jnl`	Challenges for machine learning in clinical translation of big data imaging studies. CoRR Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I. L. Namburete
2021	J	`jnl`	Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Anal. Vaanathi Sundaresan, Giovanna Zamboni, Nicola K. Dinsdale, Peter M. Rothwell, Ludovica Griffanti, Mark Jenkinson
2021	J	`jnl`	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, 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
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Anal. Vaanathi Sundaresan, Giovanna Zamboni, Peter M. Rothwell, Mark Jenkinson, Ludovica Griffanti
2020	—	`conf`	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 Jorge Corral Acero, Vaanathi Sundaresan, Nicola K. Dinsdale, Vicente Grau, Mark Jenkinson
2020	—	`conf`	Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. BrainLes@MICCAI (1) Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson
2019	J	`jnl`	Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding. NeuroImage Vaanathi Sundaresan, Giovanna Zamboni, Campbell Le Heron, Peter M. Rothwell, Masud Husain, Marco Battaglini, Nicola De Stefano, Mark Jenkinson, Ludovica Griffanti
2019	J	`jnl`	Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference. NeuroImage Vaanathi Sundaresan, Ludovica Griffanti, Petya Kindalova, Fidel Alfaro-Almagro, Giovanna Zamboni, Peter M. Rothwell, Thomas E. Nichols, Mark Jenkinson
2017	—	`conf`	Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. ISBI Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble
2016	J	`jnl`	BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. NeuroImage Ludovica Griffanti, Giovanna Zamboni, Aamira Khan, Linxin Li, Guendalina Bonifacio, Vaanathi Sundaresan, Ursula G. Schulz, Wilhelm Kuker, Marco Battaglini, Peter M. Rothwell, Mark Jenkinson
2015	—	`conf`	Computer-assisted grading of diabetic macular edema on retinal color fundus images. EMBC Vaanathi Sundaresan, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi