Leif Neve, MS

Applied Clinical Informatics Branch

Contact InformationNihbc 38A - Lister Hill 7n712c 301.827.4393

Expertise and Research Interests:

Mr. Neve has been responsible for development and maintenance of the Boundary Marking Tool, a program designed for entering and storing expert evaluations of biomedical images. The tool has been used by the National Cancer Institute (NCI) to perform a wide range of scientific studies, and the experience gained is helping to evolve it into a more flexible, configurable biomedical image markup tool. He is also currently helping to develop the People Locator website which enables family, friends and neighbors to locate missing people during a disaster. Finally, he is responsible for maintaining engineering lab hardware and software resources to support a diverse range of branch projects.

Honors and Awards:

Mr. Neve has received several staff honors over the years. In 2010 and 2016 he was awarded a Group Award for work on the Lost Person Finder project, in 2014 he was awarded a Special Act or Service Award for substantially improving the NLM People Locator, and in 2009 he was awarded a Group Award for development of a suite of tools that enable research in cervical cancer. In 2008, he was a member of the NLM team recognized by Internet2 for developing geography-independent cancer research tools.


Pearson G, Gill MJ, Antani SK, Neve L, Miernicki G, Phichaphop K, Kanduru A, Jaeger S, Thoma GR. The Role of Location For Family Reunification During Disasters. HealthGIS 2012. Redondo Beach, CA. November 2012.

Thoma G, Antani SK, Gill MJ, Pearson G, Neve L. People Locator: A System for Family Reunification. IT Professional Volume 14 Issue 3, May 2012 Pages 13-21 DOI: 10.1109/MITP.2012.25

Xue Z, Long LR, Antani SK, Neve L, Zhu Y, Thoma GR. A unified set of analysis tools for uterine cervix image segmentation. Comput Med Imaging Graph. 2010 Dec;34(8):593-604. doi: 10.1016/j.compmedimag.2010.04.002. Epub 2010 May 26.

Hsu W, Antani SK, Long LR, Neve L, Thoma GR. SPIRS: a Web-based image retrieval system for large biomedical databases. Int J Med Inform. 2009 Apr;78 Suppl 1:S13-24. doi: 10.1016/j.ijmedinf.2008.09.006. Epub 2008 Nov 8.