Noémie Debroux
Noémie Debroux publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, on topics such as Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications and Advanced MRI Techniques and Applications.
- World rank
- #6,548,997 of 7,710,434 ranked researchers
- Rank in France
- #280,295 of 324,115
- Works
- 33
- Citations
- 81
- Citations per work
- 2.5
What does Noémie Debroux research?
Noémie Debroux's work is mostly in Computer Science (38%), Medicine (18%), Engineering (14%).
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 Sciences1854.8%
- Computer Science1337.9%
- Engineering513.7%
- Mathematics13.2%
- Everything else927.3%
- Health Sciences617.9%
- Medicine617.9%
- 1Computer Vision and Pattern Recognition34% of their works
- 2Radiology, Nuclear Medicine and Imaging18% of their works
- 3Biomedical Engineering7% of their works
- 4Computational Mechanics6% of their works
- 5Computational Theory and Mathematics4% of their works
- 6Geometry and Topology3% of their works
Research topics
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Image and Object Detection Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Mathematical Modeling in Engineering
- Digital Image Processing Techniques
- Robotics and Sensor-Based Localization
Which keywords describe Noémie Debroux's research?
The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Imaging, PET/CT, Magnetic Resonance Imaging, Perfusion Imaging and Compressed Sensing.
- Multiscale Methods
- Heterogeneous
- 3D Mapping
- Line Detection
- Compressed Sensing
- Magnetic Resonance Imaging
- Imaging
- Image Segmentation
- Deep Learning
- Medical Image Analysis
- PET/CT
- Perfusion Imaging
- Hough Transform
- Sparse Representation
- Connected Components
- Labeling
- 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 17 words, with their numbers
- Deep Learning252 topics
- Image Segmentation201 topic
- Medical Image Analysis201 topic
- Imaging61 topic
- PET/CT61 topic
- Magnetic Resonance Imaging51 topic
- Perfusion Imaging51 topic
- Compressed Sensing41 topic
- Hough Transform41 topic
- Line Detection41 topic
- Sparse Representation41 topic
- 3D Mapping31 topic
- Connected Components31 topic
- Heterogeneous31 topic
- Labeling31 topic
- Multiscale Methods31 topic
- SLAM31 topic
Where does Noémie Debroux work?
Noémie Debroux's main affiliation in the publication record is Institut National des Sciences Appliquées Rouen Normandie, France.
How many publications and citations does Noémie Debroux have?
OpenAlex counts 33 works and 81 citations for Noémie Debroux, an h-index of 5, ranking #6,548,997 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.
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