Shadi Albarqouni
Shadi Albarqouni publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Advanced Neural Network Applications.
- World rank
- #53,819 of 1,633,909 ranked researchers
- Rank in Germany
- #3,724 of 86,443
- Works
- 35
- Citations
- 406
- Citations per work
- 11.6
What does Shadi Albarqouni research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Radiology, Nuclear Medicine and Imaging23% of their works
- 2Computer Vision and Pattern Recognition21% of their works
- 3Artificial Intelligence21% of their works
- 4Biomedical Engineering4% of their works
- 5Oncology4% of their works
- 6Ophthalmology4% of their works
Research topics
- AI in cancer detection
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Domain Adaptation and Few-Shot Learning
- Generative Adversarial Networks and Image Synthesis
- Robotics and Sensor-Based Localization
- Medical Imaging Techniques and Applications
Which keywords describe Shadi Albarqouni's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Histopathology Images, Medical Image Analysis, Transfer Learning and Chest X-Ray.
- PET/CT
- Image Synthesis
- Few-Shot Learning
- 3D Mapping
- Quantitative Analysis
- Image Recognition
- Representation Learning
- COVID-19
- Medical Image Analysis
- Medical Imaging
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Histopathology Images
- Transfer Learning
- Chest X-Ray
- Unsupervised Learning
- Object Detection
- Radiomics
- Domain Adaptation
- Generative Adversarial Networks
- Imaging
- SLAM
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 Learning154 topics
- Convolutional Neural Networks133 topics
- Machine Learning92 topics
- Medical Imaging72 topics
- Histopathology Images61 topic
- Medical Image Analysis61 topic
- Transfer Learning62 topics
- COVID-1941 topic
- Chest X-Ray41 topic
- Representation Learning42 topics
- Unsupervised Learning42 topics
- Image Recognition31 topic
- Object Detection31 topic
- Quantitative Analysis31 topic
- Radiomics31 topic
- 3D Mapping21 topic
- Domain Adaptation21 topic
- Few-Shot Learning21 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
- Imaging21 topic
- PET/CT21 topic
- SLAM21 topic
Where does Shadi Albarqouni work?
Shadi Albarqouni's main affiliation in the publication record is Technical University of Munich, Germany.
How many publications and citations does Shadi Albarqouni have?
Science Explorer counts 35 works and 406 citations for Shadi Albarqouni, ranking #53,819 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.