Nikolas Leßmann

2.4k total citations
34 papers, 1.2k citations indexed

About

Nikolas Leßmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Nikolas Leßmann has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 8 papers in Surgery. Recurrent topics in Nikolas Leßmann's work include Cardiac Imaging and Diagnostics (15 papers), Advanced X-ray and CT Imaging (11 papers) and Medical Imaging Techniques and Applications (7 papers). Nikolas Leßmann is often cited by papers focused on Cardiac Imaging and Diagnostics (15 papers), Advanced X-ray and CT Imaging (11 papers) and Medical Imaging Techniques and Applications (7 papers). Nikolas Leßmann collaborates with scholars based in Netherlands, United States and Germany. Nikolas Leßmann's co-authors include Ivana Išgum, Pim A. de Jong, Bram van Ginneken, Max A. Viergever, Bob D. de Vos, Tim Leiner, Majd Zreik, Jelmer M. Wolterink, Robbert W. van Hamersvelt and Michiel Voskuil and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Nikolas Leßmann

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Leßmann Netherlands 17 725 614 256 202 169 34 1.2k
Michael Suehling Germany 14 365 0.5× 276 0.4× 124 0.5× 100 0.5× 103 0.6× 28 727
Robbert W. van Hamersvelt Netherlands 15 955 1.3× 739 1.2× 189 0.7× 191 0.9× 129 0.8× 33 1.2k
Stuart R. Pomerantz United States 16 510 0.7× 396 0.6× 125 0.5× 33 0.2× 252 1.5× 50 1.3k
Vladimír Pekar Germany 15 686 0.9× 511 0.8× 117 0.5× 54 0.3× 230 1.4× 37 1.3k
Joshy Cyriac Switzerland 11 496 0.7× 271 0.4× 123 0.5× 64 0.3× 131 0.8× 22 789
Gabriel Chartrand Canada 14 823 1.1× 332 0.5× 166 0.6× 34 0.2× 193 1.1× 19 1.6k
Hanns‐Christian Breit Switzerland 11 541 0.7× 278 0.5× 91 0.4× 62 0.3× 133 0.8× 41 797
Michael Wels Germany 15 250 0.3× 226 0.4× 124 0.5× 30 0.1× 92 0.5× 32 513
Fajin Dong China 15 335 0.5× 192 0.3× 153 0.6× 148 0.7× 117 0.7× 99 1.0k
Hiroyuki Sugimori Japan 14 356 0.5× 147 0.2× 151 0.6× 115 0.6× 126 0.7× 93 767

Countries citing papers authored by Nikolas Leßmann

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Leßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Leßmann

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Leßmann. A scholar is included among the top collaborators of Nikolas Leßmann 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 Nikolas Leßmann. Nikolas Leßmann 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.
Hering, Alessa, Max Westphal, Haidara Almansour, et al.. (2024). Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. International Journal of Computer Assisted Radiology and Surgery. 19(9). 1689–1697. 6 indexed citations
2.
Hooff, Miranda L. van, Constantinus F. M. Buckens, Matthieu Rutten, et al.. (2024). Lumbar spine segmentation in MR images: a dataset and a public benchmark. Scientific Data. 11(1). 264–264. 27 indexed citations
3.
Hooff, Miranda L. van, et al.. (2024). AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images. European Radiology. 35(4). 2298–2306. 4 indexed citations
4.
Hooff, Miranda L. van, Bram van Ginneken, Merel Huisman, et al.. (2024). Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI. European Radiology. 34(9). 5748–5757. 4 indexed citations
5.
Kroeze, Robert Jan, et al.. (2023). MRI image features with an evident relation to low back pain: a narrative review. European Spine Journal. 32(5). 1830–1841. 19 indexed citations
6.
Zhai, Zhi‐Wei, Sanne G. M. van Velzen, Nikolas Leßmann, et al.. (2022). Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation. Frontiers in Cardiovascular Medicine. 9. 981901–981901. 2 indexed citations
7.
Schreuder, Anton, Colin Jacobs, Nikolas Leßmann, et al.. (2021). Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility. European Respiratory Journal. 59(5). 2101613–2101613. 8 indexed citations
8.
Vos, Bob D. de, Nikolas Leßmann, Pim A. de Jong, & Ivana Išgum. (2021). Deep Learning–Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT. Radiology Cardiothoracic Imaging. 3(2). e190219–e190219. 19 indexed citations
9.
Velzen, Sanne G. M. van, Nikolas Leßmann, Birgitta K. Velthuis, et al.. (2020). Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols. Radiology. 295(1). 66–79. 155 indexed citations
10.
Nathoe, Hendrik M., Jesper Hjortnaes, Michiel L. Bots, et al.. (2020). Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease. IJC Heart & Vasculature. 27. 100499–100499. 7 indexed citations
11.
12.
Vos, Bob D. de, Jelmer M. Wolterink, Tim Leiner, et al.. (2019). Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Transactions on Medical Imaging. 38(9). 2127–2138. 81 indexed citations
13.
Celeng, Csilla, Richard A. P. Takx, Nikolas Leßmann, et al.. (2019). The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population. Journal of Thoracic Imaging. 35(3). 204–209. 11 indexed citations
14.
Leßmann, Nikolas, Pim A. de Jong, Csilla Celeng, et al.. (2019). Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers. JACC. Cardiovascular imaging. 12(9). 1808–1817. 24 indexed citations
15.
Khalili, Nadieh, Nikolas Leßmann, Elise Turk, et al.. (2019). Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. Magnetic Resonance Imaging. 64. 77–89. 74 indexed citations
16.
Išgum, Ivana, Bram van Ginneken, & Nikolas Leßmann. (2018). Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. Pure Amsterdam UMC. 9901. 7–7. 28 indexed citations
17.
Vos, Bob D. de, Nikolas Leßmann, Robbert W. van Hamersvelt, et al.. (2018). Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images. PLoS ONE. 13(12). e0209318–e0209318. 22 indexed citations
18.
Pompe, Esther, Pim A. de Jong, David A. Lynch, et al.. (2017). Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial. European Respiratory Journal. 49(4). 1601814–1601814. 25 indexed citations
19.
Leßmann, Nikolas, Bram van Ginneken, Majd Zreik, et al.. (2017). Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Transactions on Medical Imaging. 37(2). 615–625. 179 indexed citations
20.
Leßmann, Nikolas, Daniel Drömann, & Alexander Schlaefer. (2013). Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. International Journal of Computer Assisted Radiology and Surgery. 9(2). 199–209. 1 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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