Måns Larsson

952 total citations
29 papers, 546 citations indexed

About

Måns Larsson is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Måns Larsson has authored 29 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Måns Larsson's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Medical Imaging Techniques and Applications (4 papers). Måns Larsson is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Medical Imaging Techniques and Applications (4 papers). Måns Larsson collaborates with scholars based in Sweden, Denmark and United States. Måns Larsson's co-authors include C. Christopoulos, Fredrik Kahl, Yuhang Zhang, Daniel Förnvik, Lars Edenbrandt, Philip H. S. Torr, Bogdan Savchynskyy, Sadeep Jayasumana, Shuai Zheng and Olof Enqvist and has published in prestigious journals such as Scientific Reports, Vaccine and IEEE Signal Processing Magazine.

In The Last Decade

Måns Larsson

27 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Måns Larsson Sweden 13 326 129 87 78 49 29 546
J.J. Villanueva Spain 9 340 1.0× 68 0.5× 66 0.8× 44 0.6× 32 0.7× 33 451
Surekha Borra India 16 545 1.7× 100 0.8× 150 1.7× 50 0.6× 20 0.4× 54 816
Klaus D. Toennies Germany 11 378 1.2× 145 1.1× 124 1.4× 19 0.2× 38 0.8× 40 630
Kamil Říha Czechia 14 328 1.0× 237 1.8× 119 1.4× 31 0.4× 73 1.5× 66 665
Kwang-Baek Kim South Korea 10 140 0.4× 72 0.6× 81 0.9× 18 0.2× 95 1.9× 162 536
R.N. Czerwinski United States 7 233 0.7× 98 0.8× 72 0.8× 29 0.4× 18 0.4× 13 352
George J. Grevera United States 12 447 1.4× 163 1.3× 75 0.9× 17 0.2× 52 1.1× 39 655
Michael Tschannen Switzerland 11 276 0.8× 38 0.3× 198 2.3× 82 1.1× 74 1.5× 26 502
Y.A. Tolias Greece 8 439 1.3× 273 2.1× 112 1.3× 70 0.9× 63 1.3× 13 684

Countries citing papers authored by Måns Larsson

Since Specialization
Citations

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

Fields of papers citing papers by Måns Larsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Måns Larsson

This figure shows the co-authorship network connecting the top 25 collaborators of Måns Larsson. A scholar is included among the top collaborators of Måns Larsson 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 Måns Larsson. Måns Larsson 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.
Trägårdh, Elin, Johannes Ulén, Olof Enqvist, et al.. (2025). A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET–CT images in prostate cancer. EJNMMI Physics. 12(1). 78–78.
2.
Trägårdh, Elin, Måns Larsson, Olof Enqvist, et al.. (2025). Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax. BMC Medical Imaging. 25(1). 368–368.
3.
Larsson, Måns, et al.. (2024). NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations. The International Journal of Cardiovascular Imaging. 40(7). 1493–1500. 1 indexed citations
4.
Förnvik, Daniel, et al.. (2024). Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy. European Journal of Radiology. 178. 111624–111624. 5 indexed citations
5.
Trägårdh, Elin, Johannes Ulén, Olof Enqvist, Lars Edenbrandt, & Måns Larsson. (2024). Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images. Clinical Physiology and Functional Imaging. 44(4). 332–339. 1 indexed citations
6.
Akbar, Muhammad Usman, Måns Larsson, Ida Blystad, & Anders Eklund. (2024). Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. Scientific Data. 11(1). 259–259. 20 indexed citations
7.
Edenbrandt, Lars, Magnus Gren, Mikael Hellström, et al.. (2024). Manual prostate MRI segmentation by readers with different experience: a study of the learning progress. European Radiology. 34(7). 4801–4809. 7 indexed citations
8.
Larsson, Måns, et al.. (2023). Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index. European Journal of Nuclear Medicine and Molecular Imaging. 50(5). 1510–1520. 11 indexed citations
9.
Molnár, Dávid, Elias Björnson, Måns Larsson, et al.. (2023). Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography. Scientific Reports. 13(1). 1623–1623. 4 indexed citations
10.
Piri, Reza, Lars Edenbrandt, Måns Larsson, et al.. (2022). Common carotid segmentation in 18F‐sodium fluoride PET/CT scans: Head‐to‐head comparison of artificial intelligence‐based and manual method. Clinical Physiology and Functional Imaging. 43(2). 71–77. 5 indexed citations
11.
Molnár, Dávid, Olof Enqvist, Johannes Ulén, et al.. (2021). Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies. Scientific Reports. 11(1). 23905–23905. 8 indexed citations
12.
Piri, Reza, Lars Edenbrandt, Måns Larsson, et al.. (2021). Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation. Journal of Nuclear Cardiology. 29(4). 2001–2010. 11 indexed citations
13.
14.
Piri, Reza, Lars Edenbrandt, Måns Larsson, et al.. (2021). “Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison. Journal of Nuclear Cardiology. 29(5). 2531–2539. 12 indexed citations
15.
Borrelli, Pablo, Måns Larsson, Johannes Ulén, et al.. (2020). Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival. Clinical Physiology and Functional Imaging. 41(1). 62–67. 19 indexed citations
16.
Slotved, Hans‐Christian, Kurt Fuursted, Måns Larsson, et al.. (2020). Pneumococcal carriage among children aged 4 – 12 years in Angola 4 years after the introduction of a pneumococcal conjugate vaccine. Vaccine. 38(50). 7928–7937. 3 indexed citations
17.
Arnab, Anurag, Shuai Zheng, Sadeep Jayasumana, et al.. (2018). Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Processing Magazine. 35(1). 37–52. 81 indexed citations
18.
Larsson, Måns, Fredrik Kahl, Shuai Zheng, et al.. (2017). Learning Arbitrary Potentials in CRFs with Gradient Descent.. arXiv (Cornell University). 2 indexed citations
19.
Larsson, Måns, Yuhang Zhang, & Fredrik Kahl. (2016). Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks. Chalmers Publication Library (Chalmers University of Technology). 6 indexed citations
20.
Larsson, Måns. (2015). Geofysiska undersökningsmetoder för geoenergisystem. Lund University Publications Student Papers (Lund University). 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J.J. Villanueva Breakdown of academic impact, for papers by Surekha Borra Breakdown of academic impact, for papers by Klaus D. Toennies Breakdown of academic impact, for papers by Kamil Říha Breakdown of academic impact, for papers by Kwang-Baek Kim Breakdown of academic impact, for papers by R.N. Czerwinski Breakdown of academic impact, for papers by George J. Grevera Breakdown of academic impact, for papers by Michael Tschannen Breakdown of academic impact, for papers by Y.A. Tolias
Rankless by CCL
2026