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Sema
Candemir
,
PhD
Postdoctoral Fellow
Location: 
38A
/
10S1011G
Phone Number: (
301
827-4742
Expertise and Research Interests: 

Dr. Candemir is research scientist / contractor at the Communications Engineering Branch (CEB), National Library of Medicine, NIH. Her research interests are computer vision and medical image processing; mainly medical image segmentation, local image descriptors, graph cuts algorithms and image registration. She applies her expertise in medical image analysis related projects in CEB such as chest X-ray screening, age-related eye diseases detection and malaria screening projects.  She developed lung and rib boundary detection algorithm for CXRs. Her algorithm produced state-of-the-art results, published in one of the best medical imaging journals; and the binary codes are shared with public. She also proposed a general image descriptor for line-rich objects. The algorithm is being used in the face-matching system.

Prior to joining Communication Engineering Branch - NLM, she worked as a postdoctoral researcher at University of Missouri-Columbia, where she collaborated with Air Force Research Laboratory and Kitware Company towards robust target tracking in wide area imagery.

Professional Activities: 

She is a regular reviewer of Computer Methods and Programs in Biomedicine-Elsevier, Journal of IEEE Transaction on Biomedical Engineering, Journal of IEEE Transaction of Medical Imaging, Turkish Journal of Electrical Engineering and Computer Sciences, and Journal of Biomedical and Health Informatics.

Honors and Awards: 

With her colleagues, she received the following awards:  2017: NLM Honor Award in recognition and appreciation of exceptional service by a contractor; Best paper award at 30th IEEE International Symposium on Computer-Based Medical Systems for study titled “Novel Method for Storyboarding Biomedical Videos for Medical Informatics”.  2016: NLM Honor Award in recognition of smartphone app to detect malaria. 2014: HHS-Ignites Pathway Award for Automatic X-screening for rural areas.

Google Scholar: https://goo.gl/4kpdNO
ResearchGate: https://goo.gl/i1HrIT
https://www.linkedin.com/in/scandemir/

Publications/Tools by Sema Candemir: 
Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, KC S, Vajda S, Antani SK, Folio L, Thoma GR. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20.
Xue Z, Candemir S, Antani SK, Long LR, Jaeger S, Demner-Fushman D, Thoma GR. Foreign Object Detection in Chest X-rays. Proc IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015, International Workshop on Biomedical and Health Informatics, Bethesda, Maryland, Nov. 9-12, 2015, pp: 56-61.
Candemir S, Borovikov E, KC S, Antani SK, Thoma GR. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing, Volume 42, October 2015, Pages 1-12, ISSN 0262-8856. doi:10.1016/j.imavis.2015.06.010.
Xue Z, You D, Candemir S, Jaeger S, Antani SK, Long LR, Thoma GR. Chest X-ray Image View Classification The 28th IEEE International Symposium on Computer-Based Medical Systems
Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Automatically detecting rotation in chest radiographs using principal rib-orientation measure for quality control. Int. J. Patt. Recogn. Artif. Intell, Vol 29 No. 2. DOI: 10.1142/S021800141.5570013
Jaeger S, Candemir S, Antani SK, Wang Y, Lu P, Thoma GR. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quant Imaging Med Surg. 2014 Dec;4(6):475-7. doi: 10.3978/j.issn.2223-4292.2014.11.20.
KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Rotation detection in chest radiographs based on generalized line histogram of rib-orientations. IEEE 27th International Symposium on Computer-Based Medical Systems, New York, NY, USA, May 27-29, 2014: page 138-142.
Candemir S, Jaeger S, Palaniappan K, Musco J, Singh RK, Xue Z, Karargyris A, Antani SK, Thoma GR, McDonald CJ. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. Epub 2013 Nov 13.
Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan FM, Xue Z, Palaniappan K, Singh RK, Antani SK, Thoma GR, Wang Y, Lu P, McDonald CJ. Automatic tuberculosis screening using chest radiographs. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. Epub 2013 Oct 1.

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