Reza Karimzadeh
Scholar

Reza Karimzadeh

Google Scholar ID: 80MfVJ8AAAAJ
Ph.D. Candidate at University of Copenhagen, Denmark
Medical Image ProcessingDeep LearningMachine LearningImage Segmentation
Citations & Impact
All-time
Citations
128
 
H-index
4
 
i10-index
3
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published 'Organ Morphology Loss Function: an approach to enforce deep neural networks to learn shape for medical images segmentation' in Journal of Nuclear Medicine (2022)
  • Published 'A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging' (2021)
  • Contributed to the book 'Medical Imaging systems' (2021)
  • Designed and implemented a haptic-based brain surgery bipolar electrocoagulation simulator (2021), validated with 20 volunteers, demonstrating significant skill improvement for both gamers and non-gamers
  • Completed Coursera courses: 'Machine Learning' by Andrew Ng, 'Deep Neural Networks with PyTorch' by IBM, and Python coding (Jan 2020)