Vaanathi Sundaresan

871 total citations
20 papers, 509 citations indexed

About

Vaanathi Sundaresan is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Vaanathi Sundaresan has authored 20 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Epidemiology and 5 papers in Neurology. Recurrent topics in Vaanathi Sundaresan's work include Acute Ischemic Stroke Management (6 papers), Retinal Imaging and Analysis (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Vaanathi Sundaresan is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Retinal Imaging and Analysis (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Vaanathi Sundaresan collaborates with scholars based in United Kingdom, Italy and Australia. Vaanathi Sundaresan's co-authors include Mark Jenkinson, Ludovica Griffanti, Giovanna Zamboni, Peter M. Rothwell, Marco Battaglini, Linxin Li, Wilhelm Küker, Guendalina Bonifacio, Ursula G. Schulz and Christopher P. Bridge and has published in prestigious journals such as Neuron, NeuroImage and Medical Physics.

In The Last Decade

Vaanathi Sundaresan

18 papers receiving 506 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vaanathi Sundaresan United Kingdom 9 217 115 91 90 86 20 509
Jennifer L. Cuzzocreo United States 17 272 1.3× 144 1.3× 64 0.7× 61 0.7× 102 1.2× 21 759
Deepthi Rajashekar Canada 14 126 0.6× 76 0.7× 64 0.7× 118 1.3× 134 1.6× 35 636
Shafik N. Wassef United States 10 157 0.7× 71 0.6× 63 0.7× 48 0.5× 67 0.8× 15 569
Renske de Boer Netherlands 6 174 0.8× 123 1.1× 67 0.7× 48 0.5× 79 0.9× 9 414
Pauline Mouchès Canada 12 121 0.6× 63 0.5× 53 0.6× 64 0.7× 135 1.6× 32 550
Walter M. Palm Netherlands 11 239 1.1× 162 1.4× 75 0.8× 50 0.6× 82 1.0× 17 684
Guendalina Bonifacio Italy 6 135 0.6× 69 0.6× 57 0.6× 53 0.6× 85 1.0× 7 361
Chiara Marzi Italy 13 180 0.8× 59 0.5× 62 0.7× 26 0.3× 135 1.6× 32 435
Inge W.M. van Uden Netherlands 15 343 1.6× 238 2.1× 181 2.0× 178 2.0× 95 1.1× 17 860
Katie Shpanskaya United States 11 194 0.9× 53 0.5× 60 0.7× 61 0.7× 55 0.6× 25 542

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 of co-authors of Vaanathi Sundaresan

This figure shows the co-authorship network connecting the top 25 collaborators of Vaanathi Sundaresan. A scholar is included among the top collaborators of Vaanathi Sundaresan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vaanathi Sundaresan. Vaanathi Sundaresan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sundaresan, Vaanathi, et al.. (2025). Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging. Medical Physics. 52(4). 2123–2144. 1 indexed citations
2.
Sundaresan, Vaanathi, Julia F. Lehman, Chiara Maffei, Suzanne N. Haber, & Anastasia Yendiki. (2025). Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data. Imaging Neuroscience. 3.
3.
Sundaresan, Vaanathi, Giovanna Zamboni, Robert A. Dineen, et al.. (2025). Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI. European Radiology Experimental. 9(1). 5–5.
4.
Sundaresan, Vaanathi, et al.. (2024). Automated grading of diabetic retinopathy and Radiomics analysis on ultra-wide optical coherence tomography angiography scans. Image and Vision Computing. 151. 105292–105292. 2 indexed citations
5.
Sundaresan, Vaanathi, et al.. (2024). MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes. Pattern Recognition Letters. 188. 155–163. 1 indexed citations
6.
Sundaresan, Vaanathi, Christoph Arthofer, Giovanna Zamboni, et al.. (2023). Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. Frontiers in Neuroinformatics. 17. 1204186–1204186. 8 indexed citations
7.
Dinsdale, Nicola K., Emma Bluemke, Vaanathi Sundaresan, et al.. (2022). Challenges for machine learning in clinical translation of big data imaging studies. Neuron. 110(23). 3866–3881. 29 indexed citations
8.
Sundaresan, Vaanathi, Christoph Arthofer, Giovanna Zamboni, et al.. (2022). Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. Frontiers in Neuroinformatics. 15. 777828–777828. 7 indexed citations
9.
Sundaresan, Vaanathi, Nicola K. Dinsdale, Mark Jenkinson, & Ludovica Griffanti. (2022). Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 312. 1–4. 3 indexed citations
10.
Mackay, Clare E., Sana Suri, Enikő Zsoldos, et al.. (2021). White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance. NeuroImage Clinical. 30. 102616–102616. 13 indexed citations
11.
Bertani, Ilaria, Irene Mattioli, Vaanathi Sundaresan, et al.. (2021). Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets. NeuroImage. 237. 118189–118189. 12 indexed citations
12.
Sundaresan, Vaanathi, Giovanna Zamboni, Nicola K. Dinsdale, et al.. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Analysis. 74. 102215–102215. 14 indexed citations
13.
Sundaresan, Vaanathi, Giovanna Zamboni, Peter M. Rothwell, Mark Jenkinson, & Ludovica Griffanti. (2021). Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Analysis. 73. 102184–102184. 43 indexed citations
14.
Sundaresan, Vaanathi, Giovanna Zamboni, Campbell Le Heron, et al.. (2019). Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding. NeuroImage. 202. 116056–116056. 33 indexed citations
15.
Sundaresan, Vaanathi, Ludovica Griffanti, Fidel Alfaro‐Almagro, et al.. (2018). Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference. NeuroImage. 185. 434–445. 7 indexed citations
16.
Sundaresan, Vaanathi, Christopher P. Bridge, C. Ioannou, & J. Alison Noble. (2017). Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. 671–674. 37 indexed citations
17.
Griffanti, Ludovica, Giovanna Zamboni, Linxin Li, et al.. (2016). BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. NeuroImage. 141. 191–205. 290 indexed citations
18.
Sundaresan, Vaanathi, et al.. (2015). Computer-assisted grading of diabetic macular edema on retinal color fundus images. PubMed. 2015. 4330–4333. 5 indexed citations
19.
20.
Sundaresan, Vaanathi, et al.. (2014). Integrated approach for accurate localization of optic disc and macula. 97–104. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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