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Researcher · Novosibirsk State University · Russia

Vladimir Groza

Vladimir Groza publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, on topics such as Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification and Medical Image Segmentation Techniques.

ORCID 0000-0001-9483-8784 OpenAlex
World rank
#5,757,847
of 7,710,434 ranked researchers
Rank in Russia
#53,260
of 179,717
Works
28
Citations
896
Citations per work
32.0
h-index
5
i10-index 4Top 87% in Radiology, Nuclear Medicine and Imaging
Vladimir Groza

What does Vladimir Groza research?

Vladimir Groza's work is mostly in Medicine (32%), Computer Science (17%), Engineering (16%).

Physical Sciences: 9 works · 32.2% of their workComputer Science: 5 works · 16.7% of their workComputer Vision and Pattern Recognition: 5 works · 16.7% of their workEngineering: 4 works · 15.5% of their workBiomedical Engineering: 3 works · 9.5% of their workMechanical Engineering: 2 works · 6.0% of their workHealth Sciences: 9 works · 32.1% of their workMedicine: 9 works · 32.1% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 25.0% of their workPulmonary and Respiratory Medicine: 2 works · 7.1% of their workEverything else: 7 works · 26.2% of their workLife Sciences: 3 works · 9.5% of their workNeuroscience: 3 works · 9.5% of their workNeurology: 3 works · 9.5% of their workTHEIR WORKVladimir Groza28works
Life Sciences10%Physical Sciences32%Health Sciences32%

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 Science516.7%
    2. Engineering415.5%
    1. Medicine932.1%
  3. Everything else726.2%
    1. Neuroscience39.5%
  1. 1Radiology, Nuclear Medicine and Imaging25% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Biomedical Engineering10% of their works
  4. 4Neurology10% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Mechanical Engineering6% of their works

Research topics

Which keywords describe Vladimir Groza's research?

The keywords of their largest research topics: Deep Learning, Feature Extraction, Medical Imaging, Image Segmentation, Quantitative Analysis, Radiomics, Medical Image Analysis and Active Contours.

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 21 words, with their numbers
  1. Deep Learning254 topics
  2. Feature Extraction232 topics
  3. Medical Imaging232 topics
  4. Image Segmentation162 topics
  5. Quantitative Analysis151 topic
  6. Radiomics151 topic
  7. Medical Image Analysis112 topics
  8. Active Contours81 topic
  9. Brain Tumor81 topic
  10. Graph Cuts81 topic
  11. MRI81 topic
  12. Convolutional Neural Networks61 topic
  13. Image Recognition61 topic
  14. Erosion51 topic
  15. Solid Particle51 topic
  16. CT Screening41 topic
  17. Lung Cancer41 topic
  18. Chemical Mechanical Planarization31 topic
  19. Material Removal Mechanism31 topic
  20. Spine Segmentation31 topic
  21. Vertebrae Detection31 topic

Where does Vladimir Groza work?

Vladimir Groza's main affiliation in the publication record is Novosibirsk State University, Russia.

How many publications and citations does Vladimir Groza have?

OpenAlex counts 28 works and 896 citations for Vladimir Groza, an h-index of 5, ranking #5,757,847 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.

Discussion

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