Vaanathi Sundaresan

871 citations

20 papers · 509 indexed · h-index 9

Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Brain Tumor Detection and Classification 3
Radiology, Nuclear Medicine and Imaging top 10%
- Retinal Imaging and Analysis 5
- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 2
Psychiatry and Mental health
Cognitive Neuroscience
Neurology
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Brain Tumor Detection and Classification 3
Epidemiology
- Acute Ischemic Stroke Management 6
Ophthalmology
- Glaucoma and retinal disorders 3
Pediatrics, Perinatology and Child Health
- Fetal and Pediatric Neurological Disorders 3

Co-authors: Mark Jenkinson Ludovica Griffanti Peter M. Rothwell Giovanna Zamboni Marco Battaglini Ursula G. Schulz Wilhelm Küker Linxin Li
Cited by: Neurology Radiology, Nuclear Medicine and Imaging Psychiatry and Mental health
Journals: Neuron (1 paper)NeuroImage (4 papers)Medical Physics (1 paper)
Partner nations: United Kingdom Italy Australia

In The Last Decade

Vaanathi Sundaresan

18 papers receiving 506 citations

Peers

Countries citing papers authored by Vaanathi Sundaresan

Since Specialization

Citations

This map shows the geographic impact of Vaanathi Sundaresan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vaanathi Sundaresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaanathi Sundaresan more than expected).

Fields of papers citing papers by Vaanathi Sundaresan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vaanathi Sundaresan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vaanathi Sundaresan. The network helps show where Vaanathi Sundaresan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vaanathi Sundaresan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vaanathi Sundaresan Line = papers co-authored together Vaanathi Sundaresan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging Medical Physics ·Shreyas H Ramananda,Vaanathi Sundaresan	2025	1
2	Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data Imaging Neuroscience ·Vaanathi Sundaresan,Julia F. Lehman,Chiara Maffei,Suzanne N. Haber,Anastasia Yendiki	2025	0
3	Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI European Radiology Experimental ·Vaanathi Sundaresan,Giovanna Zamboni,Robert A. Dineen,Dorothee P. Auer,Stamatios N. Sotiropoulos,Nikola Sprigg,Mark Jenkinson,Ludovica Griffanti	2025	0
4	Automated grading of diabetic retinopathy and Radiomics analysis on ultra-wide optical coherence tomography angiography scans Image and Vision Computing ·Vivek Noel Soren,H.S. Prajwal,Vaanathi Sundaresan	2024	2
5	MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes Pattern Recognition Letters ·Ramanujam Narayanan,Vaanathi Sundaresan	2024	1
6	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,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	8
7	Challenges for machine learning in clinical translation of big data imaging studies Neuron ·Nicola K. Dinsdale,Emma Bluemke,Vaanathi Sundaresan,Mark Jenkinson,Stephen M. Smith,Ana I. L. Namburete	2022	29
8	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,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	2022	7
9	Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·Vaanathi Sundaresan,Nicola K. Dinsdale,Mark Jenkinson,Ludovica Griffanti	2022	3
10	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,Nicola Filippini,Abda Mahmood,Vaanathi Sundaresan,Marina Codari,Eugene Duff,Archana Singh‐Manoux,Mika Kivimäki,Klaus P. Ebmeier,Mark Jenkinson,Francesco Sardanelli,Ludovica Griffanti	2021	13
11	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 J. McCarthy,Sana Suri,Enikő 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 Duff,Ludovica Griffanti	2021	12
12	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,Mark Jenkinson	2021	14
13	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	43
14	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	33
15	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	2018	7
16	Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks Vaanathi Sundaresan,Christopher P. Bridge,C. Ioannou,J. Alison Noble	2017	37
17	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 Küker,Marco Battaglini,Peter M. Rothwell,Mark Jenkinson	2016	290
18	Computer-assisted grading of diabetic macular edema on retinal color fundus images PubMed ·Vaanathi Sundaresan,Keerthi Ram,Niranjan Joshi,Mohanasankar Sivaprakasam,Rashmin Gandhi	2015	5
19	Adaptive Super-Candidate Based Approach for Detection and Classification of Drusen on Retinal Fundus Images Vaanathi Sundaresan,Keerthi Ram,K. Selvaraj,Niranjan Joshi,Mohanasankar Sivaprakasam	2015	2
20	Integrated approach for accurate localization of optic disc and macula Vaanathi Sundaresan,Keerthi Ram,Niranjan Joshi,Mohanasankar Sivaprakasam,Rashmin Gandhi	2014	2

About Vaanathi Sundaresan

Vaanathi Sundaresan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 20 papers that have together received 509 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (6 papers), Retinal Imaging and Analysis (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Brain Tumor Detection and Classification (3 papers), Glaucoma and retinal disorders (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (115 citations), Radiology, Nuclear Medicine and Imaging (217 citations) and Psychiatry and Mental health (84 citations). Vaanathi Sundaresan has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Mark Jenkinson, Ludovica Griffanti, Peter M. Rothwell, Giovanna Zamboni, Marco Battaglini, Ursula G. Schulz, Wilhelm Küker, Linxin Li, Guendalina Bonifacio and Christopher P. Bridge. Their work appears in journals such as Neuron, NeuroImage and Medical Physics.

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