Johan Fredin Haslum
Johan Fredin Haslum publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Cell Image Analysis Techniques.
- World rank
- #2,480,757 of 7,710,434 ranked researchers
- Rank in Sweden
- #31,910 of 71,437
- Works
- 19
- Citations
- 349
- Citations per work
- 18.4
What does Johan Fredin Haslum research?
Johan Fredin Haslum's work is mostly in Computer Science (45%), Medicine (18%), Biochemistry, Genetics and Molecular Biology (9%).
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 Sciences1052.2%
- Computer Science945.4%
- Engineering16.8%
- Everything else420.5%
- Health Sciences318.2%
- Medicine318.2%
- Life Sciences29.1%
- 1Artificial Intelligence30% of their works
- 2Radiology, Nuclear Medicine and Imaging18% of their works
- 3Computer Vision and Pattern Recognition11% of their works
- 4Biophysics9% of their works
- 5Media Technology7% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe Johan Fredin Haslum's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Transfer Learning, Medical Imaging, Image Processing, Microscopy and Chest X-Ray.
- Radiomics
- Object Detection
- Image Recognition
- Domain Adaptation
- Autofocusing
- Bioimage Analysis
- Histopathology Images
- COVID-19
- Image Processing
- Transfer Learning
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Medical Imaging
- Microscopy
- Chest X-Ray
- Medical Image Analysis
- High-Content Screening
- Depth Estimation
- Few-Shot Learning
- Molecular Docking
- Quantitative Analysis
- Virtual 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 Learning184 topics
- Convolutional Neural Networks143 topics
- Machine Learning144 topics
- Transfer Learning92 topics
- Medical Imaging82 topics
- Image Processing72 topics
- Microscopy72 topics
- COVID-1961 topic
- Chest X-Ray61 topic
- Histopathology Images61 topic
- Medical Image Analysis61 topic
- Bioimage Analysis41 topic
- High-Content Screening41 topic
- Autofocusing31 topic
- Depth Estimation31 topic
- Domain Adaptation31 topic
- Few-Shot Learning31 topic
- Image Recognition21 topic
- Molecular Docking21 topic
- Object Detection21 topic
- Quantitative Analysis21 topic
- Radiomics21 topic
- Virtual Screening21 topic
Where does Johan Fredin Haslum work?
Johan Fredin Haslum's main affiliation in the publication record is KTH Royal Institute of Technology, Sweden.
How many publications and citations does Johan Fredin Haslum have?
OpenAlex counts 19 works and 349 citations for Johan Fredin Haslum, an h-index of 7, ranking #2,480,757 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.
Discussion
Ask a question or share a note about Johan Fredin Haslum. Posts are plain text and can be reported.