Frederik Temmermans
Frederik Temmermans publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Data Compression Techniques, Image Retrieval and Classification Techniques and AI in cancer detection.
- World rank
- #6,916,863 of 7,710,434 ranked researchers
- Rank in Belgium
- #60,039 of 67,186
- Works
- 61
- Citations
- 224
- Citations per work
- 3.7
What does Frederik Temmermans research?
Frederik Temmermans's work is mostly in Computer Science (52%), Medicine (7%), Engineering (4%).
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 Sciences3456.2%
- Computer Science3252.5%
- Engineering23.7%
- Everything else2033.4%
- Health Sciences46.7%
- Medicine46.7%
- Social Sciences23.7%
- Social Sciences23.7%
- 1Computer Vision and Pattern Recognition38% of their works
- 2Artificial Intelligence10% of their works
- 3Radiology, Nuclear Medicine and Imaging7% of their works
- 4Computer Networks and Communications4% of their works
- 5Biomedical Engineering4% of their works
- 6Communication4% of their works
Research topics
- Advanced Data Compression Techniques
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
- Radiomics and Machine Learning in Medical Imaging
- Generative Adversarial Networks and Image Synthesis
- Distributed and Parallel Computing Systems
Which keywords describe Frederik Temmermans's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, JPEG2000, Wavelet Compression, Content-Based Image Retrieval, Shape Matching, Feature Matching and Histopathology Images.
- Grid Computing
- Image Synthesis
- Steganography
- Radiomics
- Medical Image Analysis
- Histopathology Images
- Shape Matching
- Wavelet Compression
- Machine Learning
- Deep Learning
- JPEG2000
- Content-Based Image Retrieval
- Feature Matching
- Local Descriptors
- Medical Imaging
- Reversible Data Embedding
- Generative Adversarial Networks
- Distributed Systems
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 18 words, with their numbers
- Deep Learning345 topics
- Machine Learning193 topics
- JPEG2000111 topic
- Wavelet Compression111 topic
- Content-Based Image Retrieval71 topic
- Shape Matching71 topic
- Feature Matching61 topic
- Histopathology Images61 topic
- Local Descriptors61 topic
- Medical Image Analysis61 topic
- Medical Imaging61 topic
- Radiomics61 topic
- Reversible Data Embedding61 topic
- Steganography61 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Distributed Systems41 topic
- Grid Computing41 topic
Where does Frederik Temmermans work?
Frederik Temmermans's main affiliation in the publication record is Vrije Universiteit Brussel, Belgium.
How many publications and citations does Frederik Temmermans have?
OpenAlex counts 61 works and 224 citations for Frederik Temmermans, an h-index of 6, ranking #6,916,863 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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