Outi Sipilä

872 total citations
26 papers, 587 citations indexed

About

Outi Sipilä is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Outi Sipilä has authored 26 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Outi Sipilä's work include Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). Outi Sipilä is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). Outi Sipilä collaborates with scholars based in Finland, France and Switzerland. Outi Sipilä's co-authors include T. Katila, Isabelle E. Magnin, Patrick Clarysse, Quoc Cuong Pham, Teemu Mäkelä, Sauli Savolainen, Heikki Mäkisalo, Linda Kuusela, Helena Hänninen and Jouni Uusi-Simola and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Outi Sipilä

26 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Outi Sipilä Finland 11 377 218 150 90 48 26 587
Teemu Mäkelä Finland 12 336 0.9× 169 0.8× 197 1.3× 60 0.7× 60 1.3× 44 689
Oliver Kutter Germany 13 174 0.5× 227 1.0× 141 0.9× 54 0.6× 107 2.2× 25 457
E. L. Ritman United States 14 306 0.8× 162 0.7× 194 1.3× 148 1.6× 67 1.4× 35 629
Christian F. Baumgartner Germany 13 327 0.9× 130 0.6× 129 0.9× 39 0.4× 68 1.4× 30 696
Michael Sühling Germany 12 396 1.1× 199 0.9× 196 1.3× 147 1.6× 61 1.3× 30 644
Athanasios Karamalis Germany 9 166 0.4× 135 0.6× 152 1.0× 26 0.3× 76 1.6× 18 348
Tobias Kunert Germany 7 235 0.6× 157 0.7× 134 0.9× 54 0.6× 71 1.5× 13 484
Ingmar Wegner Germany 12 248 0.7× 204 0.9× 206 1.4× 45 0.5× 164 3.4× 21 640
Mark Hastenteufel Germany 7 230 0.6× 166 0.8× 159 1.1× 63 0.7× 104 2.2× 19 505
Thomas Böttger Germany 4 213 0.6× 128 0.6× 125 0.8× 50 0.6× 69 1.4× 5 428

Countries citing papers authored by Outi Sipilä

Since Specialization
Citations

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

Fields of papers citing papers by Outi Sipilä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Outi Sipilä

This figure shows the co-authorship network connecting the top 25 collaborators of Outi Sipilä. A scholar is included among the top collaborators of Outi Sipilä 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 Outi Sipilä. Outi Sipilä 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.
Halme, Hanna-Leena, Antti Loimaala, Sorjo Mätzke, et al.. (2022). Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images. EJNMMI Research. 12(1). 27–27. 16 indexed citations
2.
Kuusela, Linda, et al.. (2016). A novel measure of reliability in Diffusion Tensor Imaging after data rejections due to subject motion. NeuroImage. 147. 57–65. 10 indexed citations
3.
Kuusela, Linda, et al.. (2014). Data quality in fMRI and simultaneous EEG–fMRI. Magnetic Resonance Materials in Physics Biology and Medicine. 28(1). 23–31. 7 indexed citations
4.
Kaasalainen, Touko, Sami Pakarinen, Sari Kivistö, et al.. (2014). MRI with cardiac pacing devices – Safety in clinical practice. European Journal of Radiology. 83(8). 1387–1395. 19 indexed citations
5.
Sipilä, Outi, et al.. (2013). Phantom-based quality assurance measurements in B-mode ultrasound. PubMed. 2(8). 3767825695–3767825695. 11 indexed citations
6.
Uusi-Simola, Jouni, et al.. (2011). MRI quality assurance using the ACR phantom in a multi-unit imaging center. Acta Oncologica. 50(6). 966–972. 55 indexed citations
7.
Sipilä, Outi, et al.. (2011). Reproducibility of phantom-based quality assurance parameters in real-time ultrasound imaging. Acta Radiologica. 52(6). 665–669. 7 indexed citations
8.
Sipilä, Outi, et al.. (2010). Quality assurance in diagnostic ultrasound. European Journal of Radiology. 80(2). 519–525. 43 indexed citations
9.
Sipilä, Outi, et al.. (2005). Preoperative hepatic 3D models: Virtual liver resection using three-dimensional imaging technique. European Journal of Radiology. 56(2). 179–184. 35 indexed citations
10.
Schneider, S., Outi Sipilä, Jean‐Paul Vallée, et al.. (2004). Establishing an International Reference Image Database for Research and Development in Medical Image Processing. Methods of Information in Medicine. 43(4). 409–412. 6 indexed citations
11.
Horsch, Alexander, Outi Sipilä, Jean‐Paul Vallée, et al.. (2003). Establishing an International Reference Image Database for Research and Development in Medical Image Processing. PubMed. 43(4). 363–367. 10 indexed citations
12.
Pham, Quoc Cuong, Patrick Clarysse, Jukka Nenonen, et al.. (2003). A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion. Medical Image Analysis. 7(3). 377–389. 35 indexed citations
13.
Mäkelä, Teemu, Patrick Clarysse, Outi Sipilä, et al.. (2002). A review of cardiac image registration methods. IEEE Transactions on Medical Imaging. 21(9). 1011–1021. 247 indexed citations
14.
Lötjönen, Jyrki, et al.. (2002). Individual boundary element models for magnetocardiographic applications. 2. 804–805. 1 indexed citations
15.
Sipilä, Outi. (2000). Methodological aspects for improving clinical value of SPECT and MRI. Aaltodoc (Aalto University). 1 indexed citations
16.
Sipilä, Outi, Päivi Nikkinen, Sauli Savolainen, et al.. (2000). Transmission imaging for registration of ictal and interictal single-photon emission tomography, magnetic resonance imaging and electroencephalography. European Journal of Nuclear Medicine and Molecular Imaging. 27(2). 202–205. 8 indexed citations
17.
Sipilä, Outi, Päivi Nikkinen, H. Pohjonen, et al.. (1997). Accuracy of a registration procedure for brain SPET and MRI. Nuclear Medicine Communications. 18(6). 517–526. 19 indexed citations
18.
Stocker, Alan A., Outi Sipilä, Ari Visa, Oili Salonen, & T. Katila. (1996). Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images. 472–476 vol.4. 3 indexed citations
19.
Savolainen, Sauli, H. Pohjonen, Outi Sipilä, & K. Liewendahl. (1995). Segmentation methods for volume determination with 111In/99Tcm SPET. Nuclear Medicine Communications. 16(5). 370–377. 4 indexed citations
20.
Yu, Xiaohan, et al.. (1993). <title>Direct segmentation in 3D and its application to medical images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1898. 187–192. 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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