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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: 
Rajaraman S, Candemir S, Kim I, Thoma GR, Antani SK. Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs. Appl. Sci. 2018, 8, 1715
Vajda S, Karargyris A, Jaeger S, Santosh KC, Candemir S, Xue Z, Antani SK, Thoma GR. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J Med Syst. 2018 Jun 29;42(8):146. doi: 10.1007/s10916-018-0991-9.
Rajaraman S, Candemir S, Xue Z, Alderson P, Kohli M, Abuya J, Thoma GR, Antani SK. A novel stacked generalization of models for improved TB detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, Hawaii, 2018. pp. 718-721.
Kim J, Candemir S, Chew E, Thoma GR. Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. The 31th IEEE International Symposium on Computer-Based Medical Systems. (IEEE CBMS 2018), pp. 357-362, Karlstad, Sweden, June 2018.
Rajaraman S, Antani SK, Candemir S, Xue Z, Abuya J, Kohli M, Alderson P, Thoma GR. Comparing deep learning models for population screening using chest radiography. Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105751E (27 February 2018).
Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR. Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.

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