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Ulas Bagci

  • PhD
  • Assistant Professor
  • University of Central Florida
  • 18h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 1323CitationsNumber of citations received by Ulas's publications. Updated daily.

Recent publications

  • Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis

    • Hussein S
    • Kandel P
    • Corral J
    • et al.
    Get full text
  • How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis

    • Chuquicusma M
    • Hussein S
    • Burt J
    • et al.
    Get full text

Professional experience

Assistant Professor

University of Central Florida

January 2015 - Present

Staff Scientist and Lab Manager

National Institutes of Health

March 2012 - January 2015(3 years)

ISTP Research Fellow

National Institutes of Health

August 2010 - March 2012(2 years)

Marie Curie Research Fellow

University of Nottingham

September 2006 - April 2010(4 years)

Visiting Research Fellow

University of Pennsylvania

January 2009 - June 2009(5 months)


PhD-Computer Science

University of Nottingham

September 2006 - April 2010(4 years)

MSc-Electrical&Electronics and Computer Eng.

Koç Üniversitesi - Koç University

September 2003 - September 2005(2 years)

BSc-Electrical and Electronics Eng.

Bilkent University

September 1998 - May 2003(5 years)


Prof. Bagci is a faculty member at the Center for Research in Computer Vision (CRCV), and the assistant professor in University of Central Florida (UCF). He is conducting research in biomedical imaging, computer vision, clinical image processing, and statistical machine learning fields. Prior to CRCV, Prof. Bagci was a staff scientist and the lab manager at the NIH's Center for Infectious Disease Imaging (CIDI) Lab, department of Radiology and Imaging Sciences (RAD&IS). At NIH, Prof. Bagci has developed and implemented educational and scientific research initiatives, and mentored postdoctoral and postbaccalaureate fellows for quantitative image analysis in infectious disease. Prof. Bagci had been the leading image analyst in biosafety/bioterrorism project initiated by NIAID and IRF. Prof. Bagci obtained his PhD degree from School of Computer Science, University of Nottingham (UK) in collaboration with Radiology department of University of Pennsylvania (with Prof. Udupa, MIPG). He has masters from Electrical Engineering and Computer Sciences and certificates of mastery from Harvard, Berkeley, MIT, and Johns Hopkins Universities in the topics of statistics, public health, and clinical trials.

Co-authors (236)

  • Naji Khosravan
  • Sumit Laha
  • Neslisah Torosdagli
  • Nandakishore Puttashamachar
  • Akshay Dudhane
  • Ziyue Xu