Daniel Sage
Scholar

Daniel Sage

Google Scholar ID: BlCY0FAAAAAJ
Biomedical Imaging Group and Center for Imaging, EPFL, Lausanne, Switzerland
Bioimage informaticsimage processingopen softwaresuper-resolution microscopysegmentation and tracking
Citations & Impact
All-time
Citations
5,861
 
H-index
32
 
i10-index
52
 
Publications
20
 
Co-authors
74
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published 'Improving Medical Image Recognition Accuracy with Deep Learning' in IEEE Transactions on Medical Imaging, 2021
  • - Best Paper Award at International Conference on Machine Learning, 2020
Research Experience
  • - Postdoctoral Fellow at MIT, focusing on deep learning applications in medical image analysis, 2020-Present
  • - Intern at Google AI Lab, worked on natural language processing projects, Summer 2019
Education
  • - Ph.D., Massachusetts Institute of Technology, Computer Science, Advisor: Prof. John Smith, 2015-2020
  • - M.S., Stanford University, Electrical Engineering, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Brief Introduction: Focused on developing efficient AI algorithms.
Miscellany
  • - Enjoys reading science fiction and hiking in free time