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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: 
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.
Borovikov E, Vajda S, Lingappa G, Candemir S, Antani SK, Gill MJ, Thoma GR. FaceMatch: visual search of missing persons during a disaster event [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
Karargyris A, Candemir S, Jaeger S, Xue Z, Antani SK, Thoma GR. A Combined Approach for Lung Boundary Segmentation of Chest X-Ray Images [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
Karargyris A, Folio L, Siegelman J, Callaghan FM, Candemir S, Xue Z, Lu P-X, Wang Y, Antani SK, Thoma GR, Jaeger S. Comparing the Performance of Man and Machine for TB Screening in Chest Radiographs [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
Xue Z, Jaeger S, Karargyris A, Candemir S, Antani SK, Long LR, Thoma GR, McDonald CJ. A System for Automated Screening for Tuberculosis using Digital Chest X-rays for Resources-Constrained Regions [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
Jaeger S, Karargyris A, Candemir S, Siegelman J, Folio L, Antani S, Thoma G. Automatic screening for tuberculosis in chest radiographs: a survey. Quant Imaging Med Surg. 2013 Apr;3(2):89-99. doi: 10.3978/j.issn.2223-4292.2013.04.03.
Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.

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