Fabian Isensee
Fabian Isensee publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.
- World rank
- #222,068 of 1,633,909 ranked researchers
- Rank in Germany
- #13,462 of 86,443
- Works
- 48
- Citations
- 187
- Citations per work
- 3.9
What does Fabian Isensee 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 Recognition26% of their works
- 2Radiology, Nuclear Medicine and Imaging20% of their works
- 3Artificial Intelligence14% of their works
- 4Pulmonary and Respiratory Medicine8% of their works
- 5Biomedical Engineering6% of their works
- 6Health Informatics3% of their works
Research topics
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Medical Image Segmentation Techniques
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Materials Science
- Artificial Intelligence in Healthcare and Education
- Cell Image Analysis Techniques
Which keywords describe Fabian Isensee's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Texture Analysis, Medical Imaging, Precision Medicine, Image Recognition and Object Detection.
- Bioimage Analysis
- Machine Learning Interpretability
- High-Throughput
- Artificial Intelligence
- Graph Cuts
- Computer-Aided Detection
- Radiomics
- Object Detection
- Precision Medicine
- Texture Analysis
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Medical Imaging
- Image Recognition
- Quantitative Analysis
- Medical Image Analysis
- Histopathology Images
- Image Segmentation
- Healthcare
- Interpretable Models
- Materials Informatics
- High-Content Screening
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 23 words, with their numbers
- Deep Learning204 topics
- Machine Learning205 topics
- Convolutional Neural Networks162 topics
- Texture Analysis132 topics
- Medical Imaging122 topics
- Precision Medicine122 topics
- Image Recognition111 topic
- Object Detection111 topic
- Quantitative Analysis101 topic
- Radiomics101 topic
- Medical Image Analysis82 topics
- Computer-Aided Detection51 topic
- Histopathology Images51 topic
- Graph Cuts31 topic
- Image Segmentation31 topic
- Artificial Intelligence21 topic
- Healthcare21 topic
- High-Throughput21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Materials Informatics21 topic
- Bioimage Analysis11 topic
- High-Content Screening11 topic
Where does Fabian Isensee work?
Fabian Isensee's main affiliation in the publication record is German Cancer Research Center, Germany.
How many publications and citations does Fabian Isensee have?
Science Explorer counts 48 works and 187 citations for Fabian Isensee, ranking #222,068 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.