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Researcher · Vita-Salute San Raffaele University · Italy

Sofia Antunes

Sofia Antunes publishes mostly in Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, on topics such as Medical Image Segmentation Techniques, Cardiac Imaging and Diagnostics and Advanced X-ray and CT Imaging.

ORCID 0000-0002-2264-3774 OpenAlex
World rank
#2,227,343
of 7,710,434 ranked researchers
Rank in Italy
#74,190
of 242,206
Works
20
Citations
831
Citations per work
41.6
h-index
12
i10-index 12Top 46% in Radiology, Nuclear Medicine and Imaging
Sofia Antunes

What does Sofia Antunes research?

Sofia Antunes's work is mostly in Medicine (44%), Computer Science (10%), Biochemistry, Genetics and Molecular Biology (7%).

Health Sciences: 9 works · 44.1% of their workMedicine: 9 works · 44.1% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 20.3% of their workCardiology and Cardiovascular Medicine: 3 works · 15.3% of their workPulmonary and Respiratory Medicine: 2 works · 8.5% of their workEverything else: 6 works · 32.1% of their workPhysical Sciences: 3 works · 17.0% of their workComputer Science: 2 works · 10.2% of their workComputer Vision and Pattern Recognition: 2 works · 10.2% of their workEngineering: 1 works · 6.8% of their workBiomedical Engineering: 1 works · 6.8% of their workLife Sciences: 1 works · 6.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 6.8% of their workMolecular Biology: 1 works · 6.8% of their workTHEIR WORKSofia Antunes20works
Life Sciences7%Physical Sciences17%Health Sciences44%

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
    1. Medicine944.1%
  2. Everything else632.1%
    1. Computer Science210.2%
    2. Engineering16.8%
    1. Biochemistry, Genetics and Molecular Biology16.8%
  1. 1Radiology, Nuclear Medicine and Imaging20% of their works
  2. 2Cardiology and Cardiovascular Medicine15% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Pulmonary and Respiratory Medicine8% of their works
  5. 5Molecular Biology7% of their works
  6. 6Biomedical Engineering7% of their works

Research topics

Which keywords describe Sofia Antunes's research?

The keywords of their largest research topics: Texture Analysis, Deep Learning, Cardiac Imaging, Coronary Artery Disease, Image Segmentation, Medical Image Analysis, Catheter Ablation and Dual-Energy CT.

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
  1. Texture Analysis72 topics
  2. Deep Learning62 topics
  3. Cardiac Imaging41 topic
  4. Coronary Artery Disease41 topic
  5. Image Segmentation41 topic
  6. Medical Image Analysis41 topic
  7. Catheter Ablation31 topic
  8. Dual-Energy CT31 topic
  9. Material Differentiation31 topic
  10. Medical Imaging31 topic
  11. Radiomics31 topic
  12. Ventricular Tachycardia31 topic
  13. Cardiac Resynchronization Therapy21 topic
  14. Convolutional Neural Networks21 topic
  15. Image Recognition21 topic
  16. Implantable Cardioverter-Defibrillator21 topic
  17. Kidney Organoids21 topic
  18. Nephrogenesis21 topic

Where does Sofia Antunes work?

Sofia Antunes's main affiliation in the publication record is Vita-Salute San Raffaele University, Italy.

How many publications and citations does Sofia Antunes have?

OpenAlex counts 20 works and 831 citations for Sofia Antunes, an h-index of 12, ranking #2,227,343 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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