Rémi Giraud
Rémi Giraud publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, on topics such as Medical Image Segmentation Techniques, Advanced Image and Video Retrieval Techniques and Advanced Neural Network Applications.
- World rank
- #3,532,104 of 7,710,434 ranked researchers
- Rank in France
- #148,972 of 324,115
- Works
- 56
- Citations
- 563
- Citations per work
- 10.1
What does Rémi Giraud research?
Rémi Giraud's work is mostly in Computer Science (71%), Engineering (10%), Medicine (6%).
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 Sciences4580.5%
- Computer Science4070.8%
- Engineering59.7%
- Everything else59.1%
- Health Sciences35.5%
- Medicine35.5%
- Life Sciences34.9%
- Neuroscience34.9%
- 1Computer Vision and Pattern Recognition66% of their works
- 2Media Technology8% of their works
- 3Radiology, Nuclear Medicine and Imaging6% of their works
- 4Artificial Intelligence5% of their works
- 5Neurology5% of their works
- 6Ocean Engineering2% of their works
Research topics
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Brain Tumor Detection and Classification
- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Rémi Giraud's research?
The keywords of their largest research topics: Deep Learning, Image Segmentation, Graph Cuts, Medical Image Analysis, Machine Learning, Feature Matching, Local Descriptors and Convolutional Neural Network.
- Image Synthesis
- Multispectral
- MRI
- Contrast Enhancement
- Shape Matching
- Image Recognition
- Convolutional Neural Network
- Feature Matching
- Medical Image Analysis
- Image Segmentation
- Deep Learning
- Graph Cuts
- Machine Learning
- Local Descriptors
- Convolutional Neural Networks
- Content-Based Image Retrieval
- Brain Tumor
- Dehazing
- Image Fusion
- Generative Adversarial Networks
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 20 words, with their numbers
- Deep Learning886 topics
- Image Segmentation442 topics
- Graph Cuts361 topic
- Medical Image Analysis361 topic
- Machine Learning192 topics
- Feature Matching181 topic
- Local Descriptors181 topic
- Convolutional Neural Network152 topics
- Convolutional Neural Networks121 topic
- Image Recognition121 topic
- Content-Based Image Retrieval111 topic
- Shape Matching111 topic
- Brain Tumor81 topic
- Contrast Enhancement81 topic
- Dehazing81 topic
- MRI81 topic
- Image Fusion71 topic
- Multispectral71 topic
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
Where does Rémi Giraud work?
Rémi Giraud's main affiliation in the publication record is Institut Polytechnique de Bordeaux, France.
How many publications and citations does Rémi Giraud have?
OpenAlex counts 56 works and 563 citations for Rémi Giraud, an h-index of 9, ranking #3,532,104 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.
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