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Researcher · Bilecik Şeyh Edebali Üniversitesi · Türkiye

Emre Dandıl

Emre Dandıl publishes mostly in Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, on topics such as Brain Tumor Detection and Classification, AI in cancer detection and Medical Imaging and Analysis.

ORCID 0000-0001-6559-1399 OpenAlex
World rank
#3,607,355
of 7,710,434 ranked researchers
Rank in Türkiye
#25,386
of 117,622
Works
85
Citations
726
Citations per work
8.5
h-index
13
i10-index 17Top 30% in Computer Vision and Pattern Recognition
Emre Dandıl

What does Emre Dandıl research?

Emre Dandıl's work is mostly in Computer Science (25%), Medicine (13%), Neuroscience (11%).

Everything else: 37 works · 43.4% of their workPhysical Sciences: 28 works · 33.0% of their workComputer Science: 22 works · 25.4% of their workComputer Vision and Pattern Recognition: 13 works · 15.6% of their workArtificial Intelligence: 8 works · 9.8% of their workEngineering: 6 works · 7.6% of their workBiomedical Engineering: 6 works · 7.6% of their workHealth Sciences: 11 works · 12.9% of their workMedicine: 11 works · 12.9% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 8.9% of their workPediatrics, Perinatology and Child Health: 3 works · 4.0% of their workLife Sciences: 9 works · 10.7% of their workNeuroscience: 9 works · 10.7% of their workNeurology: 9 works · 10.7% of their workTHEIR WORKEmre Dandıl85works
Life Sciences11%Physical Sciences33%Health Sciences13%

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. Everything else3743.4%
    1. Computer Science2225.4%
    2. Engineering67.6%
    1. Medicine1112.9%
    1. Neuroscience910.7%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Neurology11% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Radiology, Nuclear Medicine and Imaging9% of their works
  5. 5Biomedical Engineering8% of their works
  6. 6Pediatrics, Perinatology and Child Health4% of their works

Research topics

Which keywords describe Emre Dandıl's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Feature Extraction, Medical Image Analysis, Medical Imaging, Image Segmentation, Convolutional Neural Networks and Brain Tumor.

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 24 words, with their numbers
  1. Deep Learning565 topics
  2. Machine Learning504 topics
  3. Feature Extraction393 topics
  4. Medical Image Analysis344 topics
  5. Medical Imaging312 topics
  6. Image Segmentation292 topics
  7. Convolutional Neural Networks253 topics
  8. Brain Tumor241 topic
  9. MRI241 topic
  10. Texture Analysis122 topics
  11. Computer-Aided Detection111 topic
  12. Histopathology Images111 topic
  13. Spine Segmentation101 topic
  14. Vertebrae Detection101 topic
  15. Leukemia Classification81 topic
  16. Malaria Parasite Detection81 topic
  17. Quantitative Analysis71 topic
  18. Radiomics71 topic
  19. Image Recognition61 topic
  20. Object Detection61 topic
  21. Active Contours51 topic
  22. Cerebral Development51 topic
  23. Fetal MRI51 topic
  24. Graph Cuts51 topic

Where does Emre Dandıl work?

Emre Dandıl's main affiliation in the publication record is Bilecik Şeyh Edebali Üniversitesi, Türkiye.

How many publications and citations does Emre Dandıl have?

OpenAlex counts 85 works and 726 citations for Emre Dandıl, an h-index of 13, ranking #3,607,355 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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