You are here

Printer-friendly versionPrinter-friendly version
Leonard
R
Long
,
MA
Electronics Engineer
Location: 
38A
/
10S1008
Phone Number: (
301
435-3208
Expertise and Research Interests: 

Mr. L. Rodney Long leads a development group in creating applications for image-based biomedical information collection and dissemination. He is currently working in collaboration with the National Cancer Institute to develop a suite of tools for uterine cervix cancer databases.  His research interests are in telecommunications, systems biology, image processing, and scientific/biomedical databases.  He has an M.A. in applied mathematics from the University of Maryland.

Professional Organizations: 

He is a member of  the Mathematical Association of America (MAA) , the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Computer Society.

Honors and Awards: 

Mr. Long has received numerous staff honors. In addition, he has received the NLM Regents Award for Scholarship and Technical Achievement (2002), the NIH Award of Merit (2007), the Federal Computer Week Fed 100 Award (2009), and the American Society for Colposcopy and Cervical Pathology (ASCCP) Award of Merit (2010).

Publications/Tools by Leonard Long: 
Ben Abacha A, de Herrera A, Wang Ke, Long LR, Antani SK, Demner-Fushman D. Named entity recognition in functional neuroimaging literature. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017, pp. 2218-2220.
Guo P, Stanley RJ, De S, Long LR, Antani SK, Thoma GR, Demner-Fushman D, Sornapudia S. Features Advances to Automatically Find Images for Application to Clinical Decision Support. Medical Research Archives. 4(7) 2016. DOI: 10.18103/mra.v4i7.761
De Herrera A, Long LR, Antani SK. Content–based fMRI activation maps retrieval [Poster]. BIH 2016: Brain Informatics and Health pp 173-180, October 13-16, 2016.
Xue Z, Rahman M, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Modality Classification for Searching Figures in Biomedical Literature. Proceedings of the IEEE 29th International Symposium on Computer-Based Medical Systems, pp. 152-157, 2016. doi:10.1109/CBMS.2016.29.
Xu T, Zhang H, Xin C, Kim E, Long LR, Xue Z, Antani SK, Huang Z. Multi-feature based benchmark for cervical dysplasia classification evaluation. Pattern Recognition. ISSN 0031-3203, DOI: 10.1016/j.patcog.2016.09.027.
Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Improving face image extraction by using deep learning technique. Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890J (March 25, 2016); doi:10.1117/12.2216278.
Faruque J, Antani SK, Long LR, Kim L, Thoma GR. Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870N. DOI: 10.1117/12.2217364.
Guo P, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Frazier SR, Moss RH, Stoecker WV. Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis with Fusion-based Classification. DOI 10.1109/JBHI.2015.2483318 IEEE Journal of Biomedical and Health Informatics
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.
Xu T, Xin C, Long LR, Antani SK, Xue Z, Kim E, Huang X. A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, LNCS 9352, pp. 26–35, 2015. DOI: 10.1007/978-3-319-24888-2 4.

Pages