Amin Ranem
Scholar

Amin Ranem

Google Scholar ID: SujEnjMAAAAJ
Technical University of Darmstadt
Continual LearningTransformersRegistration
Citations & Impact
All-time
Citations
127
 
H-index
6
 
i10-index
5
 
Publications
15
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Publication list available on Google Scholar.
Research Experience
  • Involved in the RACOON project. Utilizes Deep Learning based Transformer registration models for atlas-based segmentation in clinical multi-institutional settings.
Education
  • Degree: M.Sc.; University: TU Darmstadt; Major: Graphisch-Interaktive Systeme.
Background
  • Research Interests: Continual Learning, Transformer Architectures for MRI and CT scans. Professional Field: Graphisch-Interaktive Systeme. Summary: Focuses on addressing data domain shifts caused by changing patient populations and varying acquisition techniques across medical institutions.
Miscellany
  • Personal Interests: Follow him on Twitter at @amin_ranem.