Stefanie Demirci

4.3k total citations · 1 hit paper
22 papers, 718 citations indexed

About

Stefanie Demirci is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stefanie Demirci has authored 22 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stefanie Demirci's work include Medical Image Segmentation Techniques (9 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Aortic aneurysm repair treatments (5 papers). Stefanie Demirci is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Aortic aneurysm repair treatments (5 papers). Stefanie Demirci collaborates with scholars based in Germany, United States and Norway. Stefanie Demirci's co-authors include Nassir Navab, Shadi Albarqouni, Christoph Baur, Felix Achilles, Vasileios Belagiannis, Maximilian Baust, Guillaume Zahnd, Simone Balocco, Diana Mateus and Luc Duong and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Physics and Medical Image Analysis.

In The Last Decade

Stefanie Demirci

22 papers receiving 701 citations

Hit Papers

AggNet: Deep Learning Fro... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefanie Demirci Germany 12 347 268 268 129 106 22 718
Fausto Milletarì United States 12 393 1.1× 262 1.0× 304 1.1× 115 0.9× 80 0.8× 21 892
Terrence Chen United States 19 284 0.8× 327 1.2× 298 1.1× 157 1.2× 89 0.8× 54 952
Youngjin Lee South Korea 13 77 0.2× 208 0.8× 261 1.0× 256 2.0× 70 0.7× 124 739
Ali Mottaghi United States 4 235 0.7× 173 0.6× 229 0.9× 92 0.7× 51 0.5× 5 743
Yongwon Cho South Korea 17 160 0.5× 125 0.5× 465 1.7× 172 1.3× 163 1.5× 59 1.0k
Fangxu Xing United States 19 359 1.0× 307 1.1× 270 1.0× 65 0.5× 89 0.8× 75 872
Amal Farag United States 11 263 0.8× 426 1.6× 587 2.2× 111 0.9× 235 2.2× 34 885
M. G. F. Costa Brazil 16 148 0.4× 239 0.9× 187 0.7× 83 0.6× 36 0.3× 65 599
Justin Ker Singapore 5 513 1.5× 356 1.3× 537 2.0× 176 1.4× 87 0.8× 6 1.3k

Countries citing papers authored by Stefanie Demirci

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Demirci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Demirci

This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Demirci. A scholar is included among the top collaborators of Stefanie Demirci 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 Stefanie Demirci. Stefanie Demirci 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.
Liao, Hongen, Simone Balocco, Guijin Wang, et al.. (2019). Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting. Lecture notes in computer science. 15 indexed citations
2.
Strobel, Norbert, Markus Kowarschik, Stefanie Demirci, et al.. (2018). A photon recycling approach to the denoising of ultra-low dose X-ray sequences. International Journal of Computer Assisted Radiology and Surgery. 13(6). 847–854. 8 indexed citations
3.
Bourier, Félix, et al.. (2018). Robust navigation support in lowest dose image setting. International Journal of Computer Assisted Radiology and Surgery. 14(2). 291–300. 1 indexed citations
4.
Navab, Nassir, et al.. (2018). Patient 3D body pose estimation from pressure imaging. International Journal of Computer Assisted Radiology and Surgery. 14(3). 517–524. 35 indexed citations
5.
Stoyanov, Danail, Zeike A. Taylor, Simone Balocco, et al.. (2018). Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. Lecture notes in computer science. 66 indexed citations
6.
Cardoso, M. Jorge, Tal Arbel, Simone Balocco, et al.. (2017). Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. Lecture notes in computer science. 31 indexed citations
7.
Balocco, Simone, María A. Zuluaga, Guillaume Zahnd, Lee Su-Lin, & Stefanie Demirci. (2016). Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting. CERN Document Server (European Organization for Nuclear Research). 12 indexed citations
8.
Baust, Maximilian, et al.. (2016). Vascular image registration techniques: A living review. Medical Image Analysis. 35. 1–17. 32 indexed citations
9.
Albarqouni, Shadi, et al.. (2016). Single-view X-ray depth recovery: toward a novel concept for image-guided interventions. International Journal of Computer Assisted Radiology and Surgery. 11(6). 873–880. 5 indexed citations
10.
Albarqouni, Shadi, Christoph Baur, Felix Achilles, et al.. (2016). AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. IEEE Transactions on Medical Imaging. 35(5). 1313–1321. 401 indexed citations breakdown →
11.
Volpi, Daniele, et al.. (2015). Online tracking of interventional devices for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery. 10(6). 773–781. 11 indexed citations
12.
Wang, Xiang, et al.. (2014). Improved interventional X-ray appearance. 237–242. 8 indexed citations
13.
Kowarschik, Markus, et al.. (2014). Blood flow quantification using 1D CFD parameter identification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90342R–90342R. 1 indexed citations
14.
Demirci, Stefanie, et al.. (2013). Disocclusion-based 2D–3D registration for aortic interventions. Computers in Biology and Medicine. 43(4). 312–322. 19 indexed citations
15.
Ünal, Gözde, et al.. (2013). Template‐based CTA to x‐ray angio rigid registration of coronary arteries in frequency domain with automatic x‐ray segmentation. Medical Physics. 40(10). 101903–101903. 9 indexed citations
16.
Demirci, Stefanie, Lejing Wang, Christian Wachinger, et al.. (2011). 3D Stent Recovery from One X-Ray Projection. Lecture notes in computer science. 14(Pt 1). 178–185. 14 indexed citations
17.
Tangen, Geir Arne, et al.. (2010). Endovascular image-guided navigation - validation of two volume-volume registration algorithms. Minimally Invasive Therapy & Allied Technologies. 20(5). 282–289. 7 indexed citations
18.
Demirci, Stefanie, et al.. (2009). Hybrid deformable model for aneurysm segmentation. 33–36. 16 indexed citations
19.
Baust, Maximilian, Stefanie Demirci, & Nassir Navab. (2009). Stent graft removal for improving 2D–3D registration. 22. 1203–1206. 1 indexed citations
20.
Demirci, Stefanie, et al.. (2008). Advanced 2D-3D registration for endovascular aortic interventions: addressing dissimilarity in images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6918. 69182S–69182S. 12 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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