Şaban Öztürk
Şaban Öztürk publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and COVID-19 diagnosis using AI.
- World rank
- #172,194 of 1,633,909 ranked researchers
- Rank in Türkiye
- #394 of 17,160
- Works
- 27
- Citations
- 120
- Citations per work
- 4.4
What does Şaban Öztürk research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition25% of their works
- 2Radiology, Nuclear Medicine and Imaging19% of their works
- 3Artificial Intelligence12% of their works
- 4Political Science and International Relations9% of their works
- 5Media Technology6% of their works
- 6Biomedical Engineering3% of their works
Research topics
Which keywords describe Şaban Öztürk's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Medical Image Analysis, Texture Analysis, Computer-Aided Detection and Histopathology Images.
- Sparse Representations
- Reconstruction
- Image Denoising
- Graph Cuts
- Backpropagation Learning
- Chest X-Ray
- Radiomics
- Histopathology Images
- Texture Analysis
- Medical Imaging
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Medical Image Analysis
- Computer-Aided Detection
- Quantitative Analysis
- COVID-19
- Neural Networks
- Fragmented Objects
- Handwriting Recognition
- Image Segmentation
- Self-Organizing Maps
- Text 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.
All 23 words, with their numbers
- Deep Learning85 topics
- Convolutional Neural Networks74 topics
- Machine Learning62 topics
- Medical Imaging52 topics
- Medical Image Analysis42 topics
- Texture Analysis42 topics
- Computer-Aided Detection31 topic
- Histopathology Images31 topic
- Quantitative Analysis31 topic
- Radiomics31 topic
- COVID-1921 topic
- Chest X-Ray21 topic
- Neural Networks22 topics
- Backpropagation Learning11 topic
- Fragmented Objects11 topic
- Graph Cuts11 topic
- Handwriting Recognition11 topic
- Image Denoising11 topic
- Image Segmentation11 topic
- Reconstruction11 topic
- Self-Organizing Maps11 topic
- Sparse Representations11 topic
- Text Detection11 topic
Where does Şaban Öztürk work?
Şaban Öztürk's main affiliation in the publication record is Amasya Üniversitesi, Türkiye.
How many publications and citations does Şaban Öztürk have?
Science Explorer counts 27 works and 120 citations for Şaban Öztürk, ranking #172,194 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.