Dr. Ulas Bagci,
Center for Research in Computer Vision (CRCV), UCF.

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2017/September Our kidney and cortex segmentation work appears in Medical Image Analysis Journal
2017/Aug Harish's work is nominated for BCI 2017 award: Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
2017/Aug Our deep learning based retinal fluid detection and quantification paper is accepted to MICCAI-RETOUCH Challenge
2017/July MICCAI-Multimodality Whole Heart Segmentation paper is accepted for publication
2017/July Aliasghar was enlisted as one of the AHA CVRI Young investigator award finalists for his deep learning based Cardiovascular MRI analysis work.
2017/July RSNA 2017 abstract is accepted as podium presnetation: Title: Deep Learning for Cardiac MRI: Automatically Segmenting Left Atrium Expert Human Level Performance

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Short Biography

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). His research interests are image processing and statistical machine learning and their applications in biomedical and clinical imaging. Previously, 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 clinical and pre-clinical projects at the Clinical Center. Prof. Bagci had been the leading scientist (image analyst) in biosafety/bioterrorism project initiated jointly by NIAID and IRF. He 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 statistics, public health, and clinical trials fields. Prof. Bagci is senior member of IEEE and RSNA, and member of scientific organizations such as Society of Nuclear Medicine and Molecular Imaging (SNMMI), American Statistical Association (ASA), Royal Statistical Society (RSS), AAAS, and MICCAI. Prof. Bagci has served as a program committee member for various conferences, and a ad-hoc reviewer for many prestigious journals in his fields and received best reviewer awards (most recently MICCAI 2016 Best Scientific Reviewer Award). Prof. Bagci is the recipient of many awards including NIH’s FARE award (twice), RSNA Merit Certificates (3 times), best paper award, poster prize, and highlights in journal covers, media, and news. Prof. Bagci will be co-chair of Image Processing Track of SPIE Medical Imaging Conference, 2017.



Research Interests

My research interests focus on two aspects. First, I have been developing effective and high-throughput scientific methods in the following majors: Second, I have been using these techniques to address challenging problems in computational radiology and biomedical engineering applications. My expertise include the following keywords:

Selected Awards and Honors

Invited Talks and Lectures Delivered

Regular Reviewer for Journals

Current and Past Students



Memberships in Societies

Services-Conferences, Workshops, and Editorial


[Ulas Bagci in 2015]
Ulas Bagci in 2009
Name: Ulas Bagci
URL: http://www.cs.ucf.edu/~bagci
Work number: (+1) 407-823-1047
Fax number: (+1) 407-823-0594
CRCV Assistant: Tonya LaPrarie
Mailing address: Dr. Ulas Bagci
Center for Research in Computer Vision (CRCV)
4328 Scorpius Street, HEC 221, UCF

Orlando, Florida 32816, USA.

Last updated September, 2015 by Ulas Bagci.