Tal Arbel
Tal Arbel publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Artificial Intelligence in Healthcare and Education.
- World rank
- #13,105 of 1,633,909 ranked researchers
- Rank in Canada
- #351 of 38,960
- Works
- 46
- Citations
- 1.3k
- Citations per work
- 28.3
What does Tal Arbel 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 Recognition32% of their works
- 2Artificial Intelligence24% of their works
- 3Radiology, Nuclear Medicine and Imaging17% of their works
- 4Health Informatics7% of their works
- 5Neurology6% of their works
- 6History and Philosophy of Science3% of their works
Research topics
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Brain Tumor Detection and Classification
- Medical Image Segmentation Techniques
- Face recognition and analysis
- Explainable Artificial Intelligence (XAI)
- Domain Adaptation and Few-Shot Learning
Which keywords describe Tal Arbel's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Imaging, Precision Medicine, Feature Extraction, Texture Analysis, Convolutional Neural Networks and Medical Image Analysis.
- Machine Learning Interpretability
- Few-Shot Learning
- MRI
- Facial Landmark Detection
- Brain Tumor
- Healthcare
- Histopathology Images
- Transfer Learning
- Quantitative Analysis
- Medical Image Analysis
- Texture Analysis
- Precision Medicine
- Deep Learning
- Machine Learning
- Medical Imaging
- Feature Extraction
- Convolutional Neural Networks
- Image Segmentation
- Radiomics
- Computer-Aided Detection
- Artificial Intelligence
- Active Contours
- Face Recognition
- Graph Cuts
- Domain Adaptation
- Interpretable Models
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 26 words, with their numbers
- Machine Learning224 topics
- Deep Learning184 topics
- Medical Imaging163 topics
- Precision Medicine122 topics
- Feature Extraction112 topics
- Texture Analysis112 topics
- Convolutional Neural Networks102 topics
- Medical Image Analysis102 topics
- Image Segmentation82 topics
- Quantitative Analysis71 topic
- Radiomics71 topic
- Transfer Learning72 topics
- Computer-Aided Detection61 topic
- Histopathology Images61 topic
- Artificial Intelligence51 topic
- Healthcare51 topic
- Active Contours41 topic
- Brain Tumor41 topic
- Face Recognition41 topic
- Facial Landmark Detection41 topic
- Graph Cuts41 topic
- MRI41 topic
- Domain Adaptation31 topic
- Few-Shot Learning31 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
Where does Tal Arbel work?
Tal Arbel's main affiliation in the publication record is McGill University, Canada.
How many publications and citations does Tal Arbel have?
Science Explorer counts 46 works and 1,301 citations for Tal Arbel, ranking #13,105 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.