Daniel Coelho de Castro
Scholar

Daniel Coelho de Castro

Google Scholar ID: UT-RATkAAAAJ
Microsoft Research
Machine LearningMedical ImagingComputer Vision
Citations & Impact
All-time
Citations
3,786
 
H-index
21
 
i10-index
28
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Academic Achievements
  • Involved in multiple projects in medical image analysis and has research outputs in the fields of computer vision and artificial intelligence.
Research Experience
  • Currently a member of the Biomedical Imaging team at Microsoft Research Health Futures, based in Cambridge, UK. Previous research work covered various applications in medical image analysis.
Education
  • Completed MRes and PhD work in machine learning for medical imaging at Imperial College London; graduated from École Centrale Paris (Dipl. Ing.) and PUC-Rio (BSc).
Background
  • A machine learning researcher focused on deep learning applications in medical image analysis, including chest radiography, computational pathology, and neuroimaging. Particularly interested in the integration of multimodal data sources. Emphasizes combining methodological rigor, domain knowledge, and interdisciplinary collaboration to ensure the reliability of machine-learning models in healthcare.