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Researcher · Polytechnique Montréal · Canada

Samuel Kadoury

Samuel Kadoury publishes mostly in Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, on topics such as Radiomics and Machine Learning in Medical Imaging, Medical Imaging and Analysis and Medical Image Segmentation Techniques.

ORCID 0000-0002-3048-4291 OpenAlex
World rank
#623,415
of 7,710,434 ranked researchers
Rank in Canada
#21,583
of 183,316
Works
281
Citations
9.5k
Citations per work
33.7
h-index
41
i10-index 107Top 4.5% in Radiology, Nuclear Medicine and Imaging
Samuel Kadoury

What does Samuel Kadoury research?

Samuel Kadoury's work is mostly in Medicine (30%), Computer Science (20%), Engineering (15%).

Physical Sciences: 112 works · 39.8% of their workComputer Science: 57 works · 20.4% of their workComputer Vision and Pattern Recognition: 41 works · 14.7% of their workArtificial Intelligence: 16 works · 5.7% of their workEngineering: 42 works · 14.8% of their workBiomedical Engineering: 42 works · 14.8% of their workPhysics and Astronomy: 13 works · 4.6% of their workRadiation: 13 works · 4.6% of their workEverything else: 85 works · 30.4% of their workHealth Sciences: 84 works · 29.8% of their workMedicine: 84 works · 29.8% of their workRadiology, Nuclear Medicine and Imaging: 57 works · 20.2% of their workSurgery: 27 works · 9.6% of their workTHEIR WORKSamuel Kadoury281works
Physical Sciences40%Health Sciences30%

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 Science5720.4%
    2. Engineering4214.8%
    3. Physics and Astronomy134.6%
  2. Everything else8530.4%
    1. Medicine8429.8%
  1. 1Radiology, Nuclear Medicine and Imaging20% of their works
  2. 2Biomedical Engineering15% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Surgery10% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Radiation5% of their works

Research topics

Which keywords describe Samuel Kadoury's research?

The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Texture Analysis, Machine Learning, Medical Imaging, Radiomics, Spine Segmentation and Vertebrae Detection.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning1704 topics
  2. Medical Image Analysis1423 topics
  3. Texture Analysis1232 topics
  4. Machine Learning972 topics
  5. Medical Imaging701 topic
  6. Radiomics701 topic
  7. Spine Segmentation621 topic
  8. Vertebrae Detection621 topic
  9. Convolutional Neural Networks552 topics
  10. Graph Cuts531 topic
  11. Image Segmentation531 topic
  12. Scoliosis401 topic
  13. Spinal Deformity401 topic
  14. Dosimetry371 topic
  15. Radiotherapy Physics371 topic
  16. Image Recognition281 topic
  17. Object Detection281 topic
  18. Computer-Aided Detection271 topic
  19. Histopathology Images271 topic
  20. Imaging251 topic
  21. PET/CT251 topic

Where does Samuel Kadoury work?

Samuel Kadoury's main affiliation in the publication record is Polytechnique Montréal, Canada.

How many publications and citations does Samuel Kadoury have?

OpenAlex counts 281 works and 9,467 citations for Samuel Kadoury, an h-index of 41, ranking #623,415 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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