Layachi Bentabet
Layachi Bentabet publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications and Medical Image Segmentation Techniques.
- World rank
- #5,996,038 of 7,710,434 ranked researchers
- Rank in Canada
- #165,789 of 183,316
- Works
- 30
- Citations
- 234
- Citations per work
- 7.8
What does Layachi Bentabet research?
Layachi Bentabet's work is mostly in Medicine (33%), Computer Science (30%), Engineering (8%).
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
- Physical Sciences1137.9%
- Computer Science929.9%
- Engineering28.0%
- Health Sciences1033.3%
- Medicine1033.3%
- Everything else928.8%
- 1Radiology, Nuclear Medicine and Imaging30% of their works
- 2Computer Vision and Pattern Recognition21% of their works
- 3Artificial Intelligence9% of their works
- 4Media Technology5% of their works
- 5Aerospace Engineering3% of their works
- 6Neurology3% of their works
Research topics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Methods and Mixture Models
Which keywords describe Layachi Bentabet's research?
The keywords of their largest research topics: Deep Learning, Magnetic Resonance Imaging, Perfusion Imaging, Spectroscopy, Texture Analysis, Imaging, Machine Learning and PET/CT.
- Clustering
- Nonlinear Estimation
- Radiomics
- Coronary Artery Disease
- Cardiac Imaging
- Image Segmentation
- PET/CT
- Imaging
- Spectroscopy
- Magnetic Resonance Imaging
- Deep Learning
- Perfusion Imaging
- Texture Analysis
- Machine Learning
- Bayesian Inference
- Medical Image Analysis
- Content-Based Image Retrieval
- Medical Imaging
- Shape Matching
- Particle Filters
- Mixture Models
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 21 words, with their numbers
- Deep Learning152 topics
- Magnetic Resonance Imaging142 topics
- Perfusion Imaging101 topic
- Spectroscopy101 topic
- Texture Analysis92 topics
- Imaging81 topic
- Machine Learning82 topics
- PET/CT81 topic
- Bayesian Inference52 topics
- Image Segmentation51 topic
- Medical Image Analysis51 topic
- Cardiac Imaging41 topic
- Content-Based Image Retrieval41 topic
- Coronary Artery Disease41 topic
- Medical Imaging41 topic
- Radiomics41 topic
- Shape Matching41 topic
- Nonlinear Estimation31 topic
- Particle Filters31 topic
- Clustering21 topic
- Mixture Models21 topic
Where does Layachi Bentabet work?
Layachi Bentabet's main affiliation in the publication record is Bishop's University, Canada.
How many publications and citations does Layachi Bentabet have?
OpenAlex counts 30 works and 234 citations for Layachi Bentabet, an h-index of 8, ranking #5,996,038 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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