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Researcher · CellaVision (Sweden) · Sweden

Kent Stråhlén

Kent Stråhlén publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, on topics such as AI in cancer detection, Image and Signal Denoising Methods and Electrical and Bioimpedance Tomography.

OpenAlex
World rank
#5,951,727
of 7,710,434 ranked researchers
Rank in Sweden
#64,366
of 71,437
Works
19
Citations
113
Citations per work
5.9
h-index
6
i10-index 2Top 78% in Computer Vision and Pattern Recognition
Kent Stråhlén

What does Kent Stråhlén research?

Kent Stråhlén's work is mostly in Computer Science (30%), Medicine (20%), Engineering (16%).

Physical Sciences: 10 works · 52.0% of their workComputer Science: 6 works · 30.0% of their workComputer Vision and Pattern Recognition: 4 works · 22.0% of their workArtificial Intelligence: 2 works · 8.0% of their workEngineering: 3 works · 16.0% of their workElectrical and Electronic Engineering: 2 works · 8.0% of their workMechanics of Materials: 2 works · 8.0% of their workEarth and Planetary Sciences: 1 works · 6.0% of their workGeophysics: 1 works · 6.0% of their workEverything else: 5 works · 28.0% of their workHealth Sciences: 4 works · 20.0% of their workMedicine: 4 works · 20.0% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 20.0% of their workTHEIR WORKKent Stråhlén19works
Physical Sciences52%Health Sciences20%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science630.0%
    2. Engineering316.0%
    3. Earth and Planetary Sciences16.0%
  2. Everything else528.0%
    1. Medicine420.0%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Radiology, Nuclear Medicine and Imaging20% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Mechanics of Materials8% of their works
  6. 6Geophysics6% of their works

Research topics

Which keywords describe Kent Stråhlén's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Electrical Impedance Tomography, Machine Learning, Medical Image Analysis, Inverse Problems, Computer-Aided Detection and Conductivity Imaging.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 22 words, with their numbers
  1. Convolutional Neural Networks113 topics
  2. Deep Learning82 topics
  3. Electrical Impedance Tomography72 topics
  4. Machine Learning72 topics
  5. Medical Image Analysis72 topics
  6. Inverse Problems62 topics
  7. Computer-Aided Detection41 topic
  8. Conductivity Imaging41 topic
  9. Histopathology Images41 topic
  10. Image Denoising41 topic
  11. Image Reconstruction Algorithms41 topic
  12. Imaging41 topic
  13. PET/CT41 topic
  14. Sparse Representations41 topic
  15. Flow Measurement31 topic
  16. Full-Waveform Tomography31 topic
  17. Ill-Posed Problems31 topic
  18. Leukemia Classification31 topic
  19. Malaria Parasite Detection31 topic
  20. Regularization Methods31 topic
  21. Seismic Waveform Inversion31 topic
  22. Ultrasonic31 topic

Where does Kent Stråhlén work?

Kent Stråhlén's main affiliation in the publication record is CellaVision (Sweden), Sweden.

How many publications and citations does Kent Stråhlén have?

OpenAlex counts 19 works and 113 citations for Kent Stråhlén, an h-index of 6, ranking #5,951,727 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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