Mika Pollari

405 total citations
19 papers, 236 citations indexed

About

Mika Pollari is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mika Pollari has authored 19 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Hepatology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mika Pollari's work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Mika Pollari is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Mika Pollari collaborates with scholars based in Finland, Austria and Germany. Mika Pollari's co-authors include Yrjö Häme, Jyrki Lötjönen, Marina Kolesnik, Jurgen J. Fütterer, Philipp Stiegler, Michael Moche, Marjo Metsäranta, Roberto Blanco Sequeiros, P. Ellen Grant and Juha Heiskala and has published in prestigious journals such as Scientific Reports, Optics Express and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Mika Pollari

19 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Pollari Finland 8 110 102 55 46 30 19 236
Xuelei He China 11 232 2.1× 165 1.6× 42 0.8× 18 0.4× 21 0.7× 45 315
Johanne Bézy‐Wendling France 11 182 1.7× 58 0.6× 77 1.4× 56 1.2× 42 1.4× 34 332
Changjian Sun China 9 166 1.5× 51 0.5× 130 2.4× 19 0.4× 116 3.9× 17 322
Hitoshi Yamagata Japan 12 245 2.2× 73 0.7× 32 0.6× 43 0.9× 41 1.4× 33 372
Changfa Shi China 8 145 1.3× 56 0.5× 157 2.9× 8 0.2× 93 3.1× 15 298
Bartłomiej W. Papież United Kingdom 12 258 2.3× 112 1.1× 249 4.5× 8 0.2× 57 1.9× 38 458
László Ruskó Hungary 9 139 1.3× 65 0.6× 168 3.1× 34 0.7× 77 2.6× 23 289
Olivier Dourthe France 4 127 1.2× 151 1.5× 269 4.9× 44 1.0× 103 3.4× 6 411
Christopher M. Sandino United States 10 302 2.7× 76 0.7× 36 0.7× 9 0.2× 21 0.7× 23 392
Huangxuan Zhao China 13 128 1.2× 293 2.9× 37 0.7× 7 0.2× 16 0.5× 22 405

Countries citing papers authored by Mika Pollari

Since Specialization
Citations

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

Fields of papers citing papers by Mika Pollari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Pollari

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Pollari. A scholar is included among the top collaborators of Mika Pollari 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 Mika Pollari. Mika Pollari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jenniskens, Sjoerd F.M., et al.. (2021). Software-based planning of ultrasound and CT-guided percutaneous radiofrequency ablation in hepatic tumors. International Journal of Computer Assisted Radiology and Surgery. 16(6). 1051–1057. 1 indexed citations
2.
Oostenbrugge, Tim J. van, Michael Moche, Mika Pollari, et al.. (2020). Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors. CardioVascular and Interventional Radiology. 43(11). 1661–1670. 6 indexed citations
3.
Moche, Michael, Harald Busse, Jurgen J. Fütterer, et al.. (2019). Clinical evaluation of in silico planning and real-time simulation of hepatic radiofrequency ablation (ClinicIMPPACT Trial). European Radiology. 30(2). 934–942. 11 indexed citations
4.
Pollari, Mika, Roberto Blanco Sequeiros, Rupert Horst Portugaller, et al.. (2018). RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors. Scientific Reports. 8(1). 787–787. 23 indexed citations
5.
Pollari, Mika, Michael Moche, Harald Busse, et al.. (2016). GPU-based RFA simulation for minimally invasive cancer treatment of liver tumours. International Journal of Computer Assisted Radiology and Surgery. 12(1). 59–68. 28 indexed citations
6.
Voigt, Peter, et al.. (2016). Accessing image resolution and frame rate effects in radiology from a human and a machine point of view. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 6. 1–6. 1 indexed citations
7.
Egger, Jan, Harald Busse, Matthias Gawlitza, et al.. (2015). RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. PubMed. 2. 2423–2429. 4 indexed citations
8.
Häme, Yrjö & Mika Pollari. (2011). Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation. Medical Image Analysis. 16(1). 140–149. 53 indexed citations
9.
Payne, Stephen J., et al.. (2011). Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 369(1954). 4233–4254. 39 indexed citations
10.
Pollari, Mika, et al.. (2010). Vessel Segmentation for Ablation Treatment Planning and Simulation. Lecture notes in computer science. 13(Pt 1). 45–52. 11 indexed citations
11.
Pollari, Mika, et al.. (2010). Compact review of structural and microstructural brain image analysis methods. 3749. 378–382. 1 indexed citations
12.
Pollari, Mika, et al.. (2010). Sensitivity of volumetric brain analysis to systematic and random errors. Aaltodoc (Aalto University). 238–242. 2 indexed citations
13.
Heiskala, Juha, Mika Pollari, Marjo Metsäranta, P. Ellen Grant, & Ilkka Nissilä. (2009). Probabilistic atlas can improve reconstruction from optical imaging of the neonatal brain. Optics Express. 17(17). 14977–14977. 24 indexed citations
14.
Häme, Yrjö, et al.. (2009). Image analysis for liver tumor ablation treatment planning. 1–8. 1 indexed citations
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16.
17.
Pollari, Mika, Tuomas Neuvonen, & Jyrki Lötjönen. (2006). Affine Registration of Diffusion Tensor MR Images. Lecture notes in computer science. 9(Pt 2). 629–636. 7 indexed citations
18.
Lötjönen, Jyrki, Mika Pollari, Sari Kivistö, & Kirsi Lauerma. (2005). Correction of Motion Artifacts From Cardiac Cine Magnetic Resonance Images1. Academic Radiology. 12(10). 1273–1284. 11 indexed citations
19.
Pollari, Mika, et al.. (2005). Evaluation of cardiac PET-MRI registration methods using a numerical breathing phantom. 2. 1447–1450. 6 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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2026