Thomas Varsavsky

8.4k total citations · 1 hit paper
6 papers, 895 citations indexed

About

Thomas Varsavsky is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health. According to data from OpenAlex, Thomas Varsavsky has authored 6 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Health. Recurrent topics in Thomas Varsavsky's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Thomas Varsavsky is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Thomas Varsavsky collaborates with scholars based in United Kingdom, Sweden and United States. Thomas Varsavsky's co-authors include M. Jorge Cardoso, Sébastien Ourselin, Carole H. Sudre, Ruth C. E. Bowyer, Claire J. Steves, Maxim B. Freidin, Cristina Menni, Jonathan Wolf, Tim D. Spector and Sajaysurya Ganesh and has published in prestigious journals such as Nature Medicine, IEEE Transactions on Medical Imaging and Thorax.

In The Last Decade

Thomas Varsavsky

6 papers receiving 881 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-time tracking of self-reported symptoms to predict potential COVID-19

2020 847 citations Cristina Menni, Ana M. Valdes et al. Nature Medicine profile →

Peers

Countries citing papers authored by Thomas Varsavsky

Since Specialization

Citations

This map shows the geographic impact of Thomas Varsavsky'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 Thomas Varsavsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Varsavsky more than expected).

Fields of papers citing papers by Thomas Varsavsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Varsavsky. 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 Thomas Varsavsky. The network helps show where Thomas Varsavsky may publish in the future.

Co-authorship network of co-authors of Thomas Varsavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Varsavsky. A scholar is included among the top collaborators of Thomas Varsavsky 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 Thomas Varsavsky. Thomas Varsavsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Acquisition-invariant brain MRI segmentation with informative uncertainties 2023 ·Medical Image Analysis ·(unknown), (unknown), Thomas Varsavsky, Kerstin Kläser, David L. Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso	4
2	Imitation learning for improved 3D PET/MR attenuation correction 2021 ·Medical Image Analysis ·Kerstin Kläser, Thomas Varsavsky, Paweł Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin	15
3	A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal 2020 ·IEEE Transactions on Medical Imaging ·(unknown), Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso	24
4	Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app 2020 ·Thorax ·Ruth C. E. Bowyer, Thomas Varsavsky, Ellen J. Thompson, Carole H. Sudre, Benjamin Murray, Maxim B. Freidin, Darioush Yarand, Sajaysurya Ganesh, Joan Capdevila Pujol, Elco Bakker, M. Jorge Cardoso, Richard Davies, Jonathan Wolf, Tim D. Spector, Sébastien Ourselin, Claire J. Steves, Cristina Menni	4
5	Real-time tracking of self-reported symptoms to predict potential COVID-19 breakdown → 2020 ·Nature Medicine ·Cristina Menni, Ana M. Valdes, Maxim B. Freidin, Carole H. Sudre, Long H. Nguyen, David A. Drew, Sajaysurya Ganesh, Thomas Varsavsky, M. Jorge Cardoso, Julia S. El-Sayed Moustafa, Alessia Visconti, Pirro G. Hysi, Ruth C. E. Bowyer, Massimo Mangino, Mario Falchi, Jonathan Wolf, Sébastien Ourselin, Andrew T. Chan, Claire J. Steves, Tim D. Spector	847
6	3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects 2019 ·Pure Amsterdam UMC ·Carole H. Sudre, (unknown), (unknown), (unknown), Daniel Jiménez‐Carretero, (unknown), Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso	1

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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