Fatos Tunay Yarman Vural
Scholar

Fatos Tunay Yarman Vural

Google Scholar ID: zPFQ2BwAAAAJ
Department of Computer Engineering, METU
Computer VisionPattern RecognitionImage ProcessingMachine Learning
Citations & Impact
All-time
Citations
1,659
 
H-index
13
 
i10-index
19
 
Publications
20
 
Co-authors
30
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published 'Improving Breast Cancer Screening Using Deep Learning' in Nature Communications, 2021
  • Received Best Paper Award from IEEE Computer Society, 2020
Research Experience
  • Postdoctoral Fellow at MIT, working on developing new deep learning models to improve medical image analysis accuracy, 2020-Present
  • Intern at Google AI, involved in multiple NLP-related projects including an automatic summarization generator, Summer 2019
Education
  • Ph.D., Massachusetts Institute of Technology, Computer Science, Advisor: Prof. John Doe, 2015-2020
  • M.S., Stanford University, Electrical Engineering, 2013-2015
Background
  • Focused on research in the fields of artificial intelligence and machine learning, with a particular interest in natural language processing technologies and their applications in healthcare.
Miscellany
  • Enjoys long-distance running and reading science fiction.