Alexandre Bône
Alexandre Bône publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, Morphological variations and asymmetry and AI in cancer detection.
- World rank
- #2,004,424 of 7,710,434 ranked researchers
- Rank in France
- #87,344 of 324,115
- Works
- 79
- Citations
- 641
- Citations per work
- 8.1
What does Alexandre Bône research?
Alexandre Bône's work is mostly in Medicine (37%), Computer Science (22%), Mathematics (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
- Health Sciences3037.4%
- Medicine3037.4%
- Everything else2733.9%
- Physical Sciences2328.7%
- Computer Science1822.4%
- Mathematics56.3%
- 1Radiology, Nuclear Medicine and Imaging25% of their works
- 2Computer Vision and Pattern Recognition11% of their works
- 3Artificial Intelligence11% of their works
- 4Oncology7% of their works
- 5Geometry and Topology6% of their works
- 6Pulmonary and Respiratory Medicine5% of their works
Research topics
- Radiomics and Machine Learning in Medical Imaging
- Morphological variations and asymmetry
- AI in cancer detection
- Medical Image Segmentation Techniques
- Hepatocellular Carcinoma Treatment and Prognosis
- Medical Imaging Techniques and Applications
- Bayesian Methods and Mixture Models
- Advanced X-ray and CT Imaging
Which keywords describe Alexandre Bône's research?
The keywords of their largest research topics: Machine Learning, Texture Analysis, Medical Imaging, Radiomics, Deep Learning, Medical Image Analysis, Geometric Morphometrics and Morphological Integration.
- Mixture Models
- Dual-Energy CT
- PET/CT
- Liver Cancer
- Image Segmentation
- Histopathology Images
- Morphological Integration
- Medical Image Analysis
- Radiomics
- Texture Analysis
- Machine Learning
- Medical Imaging
- Deep Learning
- Geometric Morphometrics
- Computer-Aided Detection
- Graph Cuts
- Hepatocellular Carcinoma
- Imaging
- Clustering
- Material Differentiation
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
- Machine Learning362 topics
- Texture Analysis352 topics
- Medical Imaging251 topic
- Radiomics251 topic
- Deep Learning212 topics
- Medical Image Analysis212 topics
- Geometric Morphometrics131 topic
- Morphological Integration131 topic
- Computer-Aided Detection111 topic
- Histopathology Images111 topic
- Graph Cuts101 topic
- Image Segmentation101 topic
- Hepatocellular Carcinoma91 topic
- Liver Cancer91 topic
- Imaging71 topic
- PET/CT71 topic
- Clustering61 topic
- Dual-Energy CT61 topic
- Material Differentiation61 topic
- Mixture Models61 topic
Where does Alexandre Bône work?
Alexandre Bône's main affiliation in the publication record is Guerbet (France), France.
How many publications and citations does Alexandre Bône have?
OpenAlex counts 79 works and 641 citations for Alexandre Bône, an h-index of 13, ranking #2,004,424 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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