Stina Svensson

1.7k total citations
69 papers, 1.1k citations indexed

About

Stina Svensson is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Stina Svensson has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 23 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Radiation. Recurrent topics in Stina Svensson's work include Medical Image Segmentation Techniques (27 papers), Digital Image Processing Techniques (26 papers) and Advanced Radiotherapy Techniques (21 papers). Stina Svensson is often cited by papers focused on Medical Image Segmentation Techniques (27 papers), Digital Image Processing Techniques (26 papers) and Advanced Radiotherapy Techniques (21 papers). Stina Svensson collaborates with scholars based in Sweden, Italy and United States. Stina Svensson's co-authors include Gabriella Sanniti di Baja, Gunilla Borgefors, Ingela Nyström, Ulf Skoglund, Lars‐Göran Öfverstedt, Kristy K. Brock, Ichiro Iwai, Jamshed Anwar, Lars Norlén and Lianne den Hollander and has published in prestigious journals such as The Journal of Cell Biology, International Journal of Radiation Oncology*Biology*Physics and Journal of Investigative Dermatology.

In The Last Decade

Stina Svensson

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stina Svensson Sweden 15 375 357 324 224 138 69 1.1k
Jeong‐Hoon Park South Korea 19 145 0.4× 178 0.5× 182 0.6× 289 1.3× 3 0.0× 77 1.1k
Kevin de Haan United States 17 172 0.5× 132 0.4× 404 1.2× 52 0.2× 8 0.1× 37 1.6k
Yang Lv China 13 662 1.8× 159 0.4× 80 0.2× 69 0.3× 5 0.0× 76 1.1k
Jun‐ichi Hasegawa Japan 11 169 0.5× 22 0.1× 299 0.9× 152 0.7× 5 0.0× 73 634
Tairan Liu United States 16 75 0.2× 132 0.4× 285 0.9× 34 0.2× 6 0.0× 36 1.1k
Yong Huang China 21 434 1.2× 24 0.1× 296 0.9× 64 0.3× 3 0.0× 94 1.4k
Andre Fleck Canada 9 116 0.3× 146 0.4× 73 0.2× 79 0.4× 5 0.0× 23 518
Xuanwei Liang China 15 345 0.9× 14 0.0× 7 0.0× 39 0.2× 34 0.2× 57 936
Yoshimasa Kurumi Japan 20 241 0.6× 47 0.1× 74 0.2× 149 0.7× 6 0.0× 98 912
Vasileios Vavourakis United Kingdom 17 139 0.4× 20 0.1× 70 0.2× 64 0.3× 7 0.1× 52 691

Countries citing papers authored by Stina Svensson

Since Specialization
Citations

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

Fields of papers citing papers by Stina Svensson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stina Svensson

This figure shows the co-authorship network connecting the top 25 collaborators of Stina Svensson. A scholar is included among the top collaborators of Stina Svensson 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 Stina Svensson. Stina Svensson 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.
Davey, A., et al.. (2025). Dose Mapping Using Image Registration for Reirradiation: A Systematic Review. International Journal of Radiation Oncology*Biology*Physics. 124(3). 765–798. 1 indexed citations
2.
Thompson, Christopher M., et al.. (2024). 1325: Robust dose mapping accounting for per-organ deformations uncertainties. Radiotherapy and Oncology. 194. S4030–S4035. 1 indexed citations
3.
Poels, Kenneth, et al.. (2024). Autodelineation methods in a simulated fully automated proton therapy workflow for esophageal cancer. Physics and Imaging in Radiation Oncology. 32. 100646–100646.
4.
Elliott, Andrew M., et al.. (2023). Development and benchmarking diffusion magnetic resonance imaging analysis for integration into radiation treatment planning. Medical Physics. 51(3). 2108–2118. 1 indexed citations
5.
Thompson, Christopher M., J. Lilley, Stina Svensson, et al.. (2023). Brain Re-Irradiation Robustly Accounting for Previously Delivered Dose. Cancers. 15(15). 3831–3831. 9 indexed citations
6.
Cazoulat, Guillaume, Stina Svensson, B. Rigaud, et al.. (2022). Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures. Frontiers in Oncology. 12. 1015608–1015608. 6 indexed citations
7.
Cazoulat, Guillaume, Brian Anderson, B. Rigaud, et al.. (2021). Improving GI Toxicity Models Through Deep Learning-Based Segmentation and Biomechanical Model-Based Dose Accumulation. International Journal of Radiation Oncology*Biology*Physics. 111(3). S45–S46. 1 indexed citations
8.
Guerreiro, Filipa, Stina Svensson, Enrica Seravalli, Erik Tranéus, & B.W. Raaymakers. (2021). Intra-fractional per-beam adaptive workflow to mitigate the need for a rotating gantry during MRI-guided proton therapy. Physics in Medicine and Biology. 66(18). 18NT01–18NT01. 4 indexed citations
9.
Rigaud, B., Brian Anderson, Zhiqian Yu, et al.. (2020). Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 109(4). 1096–1110. 72 indexed citations
10.
Velec, Michael, Joanne Moseley, Stina Svensson, et al.. (2017). Validation of biomechanical deformable image registration in the abdomen, thorax, and pelvis in a commercial radiotherapy treatment planning system. Medical Physics. 44(7). 3407–3417. 49 indexed citations
11.
Svensson, Stina, et al.. (2014). The ANACONDA algorithm for deformable image registration in radiotherapy. Medical Physics. 42(1). 40–53. 220 indexed citations
12.
Iwai, Ichiro, Hong‐Mei Han, Lianne den Hollander, et al.. (2012). The Human Skin Barrier Is Organized as Stacked Bilayers of Fully Extended Ceramides with Cholesterol Molecules Associated with the Ceramide Sphingoid Moiety. Journal of Investigative Dermatology. 132(9). 2215–2225. 181 indexed citations
13.
Svensson, Stina. (2008). Aspects on the reverse fuzzy distance transform. Pattern Recognition Letters. 29(7). 888–896. 12 indexed citations
14.
Svensson, Stina. (2007). Centres of maximal balls extracted from a fuzzy distance transform. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 19–20. 4 indexed citations
15.
Svensson, Stina, et al.. (2006). Separation of blob-like structures using fuzzy distance based hierarchical clustering. 1 indexed citations
16.
Nyström, Ingela, Gabriella Sanniti di Baja, & Stina Svensson. (2004). Advances in Discrete Geometry and Topology: Special issue devoted to the 11th International Conference on Discrete Geometry for Computer Imagery (DGCI 2003) Naples, Italy 19–21 November 2003. Discrete Applied Mathematics. 147(2-3). 147–148. 1 indexed citations
17.
Nyström, Ingela, Gabriella Sanniti di Baja, & Stina Svensson. (2003). Discrete geometry for computer imagery : 11th International Conference, DGCI 2003, Naples, Italy, November 19-21, 2003 : proceedings. Springer eBooks. 2 indexed citations
18.
Borgefors, G. & Stina Svensson. (2003). Fuzzy border distance transforms and their use in 2D skeletonization. 1. 180–183. 6 indexed citations
19.
Svensson, Stina, Ingela Nyström, & Gabriella Sanniti di Baja. (2002). Curve skeletonization of surface-like objects in 3D images guided by voxel classification. Pattern Recognition Letters. 23(12). 1419–1426. 61 indexed citations
20.

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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