Fabian Lecron
Fabian Lecron publishes mostly in Computer Vision and Pattern Recognition, Information Systems and Health Information Management, on topics such as Neurobiology of Language and Bilingualism, Brain Tumor Detection and Classification and Text Readability and Simplification.
- World rank
- #597,327 of 1,633,909 ranked researchers
- Rank in Belgium
- #7,139 of 18,604
- Works
- 19
- Citations
- 26
- Citations per work
- 1.4
What does Fabian Lecron 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 Recognition27% of their works
- 2Information Systems18% of their works
- 3Health Information Management9% of their works
- 4Artificial Intelligence9% of their works
- 5Cognitive Neuroscience9% of their works
- 6Neurology9% of their works
Research topics
- Neurobiology of Language and Bilingualism
- Brain Tumor Detection and Classification
- Text Readability and Simplification
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Data Mining Algorithms and Applications
- Recommender Systems and Techniques
Which keywords describe Fabian Lecron's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Image Segmentation, Neural Networks, Brain Tumor, Collaborative Filtering, Content-Based Image Retrieval and Content-Based Retrieval.
- Video Summarization
- Shape Matching
- Readability Assessment
- Matrix Factorization
- Language Processing
- Frequent Patterns
- Content-Based Retrieval
- Collaborative Filtering
- Neural Networks
- Deep Learning
- Machine Learning
- Image Segmentation
- Brain Tumor
- Content-Based Image Retrieval
- Data Mining
- Graph Cuts
- MRI
- Medical Image Analysis
- Semantic Memory
- Text Simplification
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 20 words, with their numbers
- Machine Learning44 topics
- Deep Learning33 topics
- Image Segmentation22 topics
- Neural Networks22 topics
- Brain Tumor11 topic
- Collaborative Filtering11 topic
- Content-Based Image Retrieval11 topic
- Content-Based Retrieval11 topic
- Data Mining11 topic
- Frequent Patterns11 topic
- Graph Cuts11 topic
- Language Processing11 topic
- MRI11 topic
- Matrix Factorization11 topic
- Medical Image Analysis11 topic
- Readability Assessment11 topic
- Semantic Memory11 topic
- Shape Matching11 topic
- Text Simplification11 topic
- Video Summarization11 topic
Where does Fabian Lecron work?
Fabian Lecron's main affiliation in the publication record is University of Mons, Belgium.
How many publications and citations does Fabian Lecron have?
Science Explorer counts 19 works and 26 citations for Fabian Lecron, ranking #597,327 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.