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Researcher · Vector Institute · Canada

Eu Wern Teh

Eu Wern Teh publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Advanced Image and Video Retrieval Techniques and Face recognition and analysis.

OpenAlex
World rank
#4,981,399
of 7,710,434 ranked researchers
Rank in Canada
#146,948
of 183,316
Works
17
Citations
130
Citations per work
7.6
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Eu Wern Teh

What does Eu Wern Teh research?

Eu Wern Teh's work is mostly in Computer Science (83%), Medicine (4%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 15 works · 87.0% of their workComputer Science: 14 works · 82.6% of their workComputer Vision and Pattern Recognition: 10 works · 60.9% of their workArtificial Intelligence: 4 works · 21.7% of their workEngineering: 0 works · 2.2% of their workControl and Systems Engineering: 0 works · 2.2% of their workPhysics and Astronomy: 0 works · 2.2% of their workStatistical and Nonlinear Physics: 0 works · 2.2% of their workEverything else: 1 works · 6.5% of their workHealth Sciences: 1 works · 4.3% of their workMedicine: 1 works · 4.3% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.3% of their workLife Sciences: 0 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.2% of their workMolecular Biology: 0 works · 2.2% of their workTHEIR WORKEu Wern Teh17works
Life Sciences2%Physical Sciences87%Health Sciences4%

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 Science1482.6%
    2. Engineering02.2%
    3. Physics and Astronomy02.2%
  2. Everything else16.5%
    1. Medicine14.3%
    1. Biochemistry, Genetics and Molecular Biology02.2%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Radiology, Nuclear Medicine and Imaging4% of their works
  4. 4Control and Systems Engineering2% of their works
  5. 5Statistical and Nonlinear Physics2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Eu Wern Teh's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Representation Learning and Unsupervised Learning.

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. Deep Learning236 topics
  2. Convolutional Neural Networks205 topics
  3. Machine Learning112 topics
  4. Medical Image Analysis112 topics
  5. Computer-Aided Detection71 topic
  6. Histopathology Images71 topic
  7. Representation Learning62 topics
  8. Unsupervised Learning62 topics
  9. Face Recognition41 topic
  10. Facial Landmark Detection41 topic
  11. Feature Matching41 topic
  12. Leukemia Classification41 topic
  13. Local Descriptors41 topic
  14. Malaria Parasite Detection41 topic
  15. Domain Adaptation31 topic
  16. Generative Adversarial Networks31 topic
  17. Image Recognition31 topic
  18. Image Synthesis31 topic
  19. Object Detection31 topic
  20. Transfer Learning31 topic
  21. Object Tracking21 topic
  22. Visual Tracking21 topic

Where does Eu Wern Teh work?

Eu Wern Teh's main affiliation in the publication record is Vector Institute, Canada.

How many publications and citations does Eu Wern Teh have?

OpenAlex counts 17 works and 130 citations for Eu Wern Teh, an h-index of 5, ranking #4,981,399 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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