Kerstin Kläser

5.8k total citations
7 papers, 114 citations indexed

About

Kerstin Kläser is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Kerstin Kläser has authored 7 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Infectious Diseases and 2 papers in Biomedical Engineering. Recurrent topics in Kerstin Kläser's work include Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced MRI Techniques and Applications (2 papers). Kerstin Kläser is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced MRI Techniques and Applications (2 papers). Kerstin Kläser collaborates with scholars based in United Kingdom, Germany and United States. Kerstin Kläser's co-authors include Sébastien Ourselin, Marc Modat, David Atkinson, M. Jorge Cardoso, Brian F. Hutton, Kris Thielemans, Lorenzo Polidori, Joan Capdevila Pujol, Claire J. Steves and David A. Drew and has published in prestigious journals such as Medical Physics, Medical Image Analysis and Applied Sciences.

In The Last Decade

Kerstin Kläser

7 papers receiving 113 citations

Peers

Countries citing papers authored by Kerstin Kläser

Since Specialization

Citations

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

Fields of papers citing papers by Kerstin Kläser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Kläser

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

All Works

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7 of 7 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	A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis 2021 ·Applied Sciences ·Kerstin Kläser, (unknown), (unknown), (unknown), Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary Cook, M. Jorge Cardoso, Sébastien Ourselin	10
3	Disentangling post-vaccination symptoms from early COVID-19 2021 ·EClinicalMedicine ·Liane S. Canas, Marc F. Österdahl, Jie Deng, Christina Hu, Somesh Selvachandran, Lorenzo Polidori, Anna May, Erika Molteni, Benjamin Murray, Liyuan Chen, Eric Kerfoot, Kerstin Kläser, Michela Antonelli, Alexander Hammers, Tim D. Spector, Sébastien Ourselin, Claire J. Steves, Carole H. Sudre, Marc Modat, Emma L. Duncan	10
4	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
5	Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study 2021 ·The Lancet Digital Health ·Liane S. Canas, Carole H. Sudre, Joan Capdevila Pujol, Lorenzo Polidori, Benjamin Murray, Erika Molteni, Mark S. Graham, Kerstin Kläser, Michela Antonelli, Sarah Berry, Richard Davies, Long H. Nguyen, David A. Drew, Jonathan Wolf, Andrew T. Chan, Tim D. Spector, Claire J. Steves, Sébastien Ourselin, Marc Modat	53
6	PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques 2019 ·Medical Physics ·(unknown), (unknown), Kerstin Kläser, Karin Shmueli, Radhouène Neji, Brian F. Hutton, Francesco Fraioli, Simon Arridge, M. Jorge Cardoso, Sébastien Ourselin, Kris Thielemans, David Atkinson	19
7	Construction of a device for magnetic separation of superparamagnetic iron oxide nanoparticles 2015 ·Current Directions in Biomedical Engineering ·Kerstin Kläser, Matthias Graeser, (unknown), (unknown)	3

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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