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Researcher · Nvidia (United States) · United States

Ali Hatamizadeh

Ali Hatamizadeh publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

ORCID 0000-0002-5349-1996 OpenAlex
World rank
#606,454
of 7,710,434 ranked researchers
Rank in United States
#207,828
of 1,627,098
Works
64
Citations
7.8k
Citations per work
121.8
h-index
22
i10-index 28Top 11% in Computer Vision and Pattern Recognition
Ali Hatamizadeh

What does Ali Hatamizadeh research?

Ali Hatamizadeh's work is mostly in Computer Science (60%), Medicine (21%), Neuroscience (4%).

Physical Sciences: 40 works · 62.9% of their workComputer Science: 38 works · 60.1% of their workComputer Vision and Pattern Recognition: 19 works · 30.3% of their workArtificial Intelligence: 19 works · 29.8% of their workEngineering: 2 works · 2.8% of their workBiomedical Engineering: 2 works · 2.8% of their workHealth Sciences: 14 works · 21.3% of their workMedicine: 14 works · 21.3% of their workRadiology, Nuclear Medicine and Imaging: 12 works · 19.1% of their workHealth Informatics: 1 works · 2.2% of their workEverything else: 8 works · 11.9% of their workLife Sciences: 2 works · 3.9% of their workNeuroscience: 2 works · 3.9% of their workNeurology: 2 works · 3.9% of their workTHEIR WORKAli Hatamizadeh64works
Life Sciences4%Physical Sciences63%Health Sciences21%

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. Computer Science3860.1%
    2. Engineering22.8%
    1. Medicine1421.3%
  3. Everything else811.9%
    1. Neuroscience23.9%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Artificial Intelligence30% of their works
  3. 3Radiology, Nuclear Medicine and Imaging19% of their works
  4. 4Neurology4% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Health Informatics2% of their works

Research topics

Which keywords describe Ali Hatamizadeh's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Texture Analysis, Image Recognition, Object Detection and Quantitative Analysis.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Deep Learning655 topics
  2. Convolutional Neural Networks483 topics
  3. Machine Learning413 topics
  4. Medical Imaging312 topics
  5. Texture Analysis302 topics
  6. Image Recognition291 topic
  7. Object Detection291 topic
  8. Quantitative Analysis221 topic
  9. Radiomics221 topic
  10. Medical Image Analysis182 topics
  11. Transfer Learning172 topics
  12. Computer-Aided Detection101 topic
  13. Histopathology Images101 topic
  14. COVID-1991 topic
  15. Chest X-Ray91 topic
  16. Differential Privacy91 topic
  17. Federated Learning91 topic
  18. Image Captioning91 topic
  19. Visual Question Answering91 topic
  20. Domain Adaptation81 topic
  21. Few-Shot Learning81 topic
  22. Graph Cuts81 topic
  23. Image Segmentation81 topic

Where does Ali Hatamizadeh work?

Ali Hatamizadeh's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Ali Hatamizadeh have?

OpenAlex counts 64 works and 7,793 citations for Ali Hatamizadeh, an h-index of 22, ranking #606,454 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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

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