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Branch Chief
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Expertise and Research Interests: 

George R. Thoma received a BS from Swarthmore College, and his MS and PhD from the University of Pennsylvania, all in electrical engineering. As the senior electronics engineer and Chief of the Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications, a research and development division of the National Library of Medicine, he directs R&D programs in image processing, document image storage on digital optical disks, automated document image delivery, digital x-ray archiving, and high speed image transmission. He has also conducted research in analog videodiscs, satellite communications and video teleconferencing. Dr. Thoma's previous experience at the General Electric Company, AII Systems, and the University of Pennsylvania had been in developing concepts and systems involving the application of satellites in voice and data communications, video distribution, navigation and surveillance. He has lectured extensively on these topics at various conferences, seminars and workshops at institutions in this country as well as in Japan, Holland, Switzerland, Canada, Brazil, Mexico, United Arab Emirates and India, frequently as an invited speaker. In March 2001, he was invited to organize a workshop in image analysis at a conference in Dubai, UAE. In January 1993 he was invited by the IEEE (Kerala section) to speak on imaging in Trivandrum, India. In October 1992 he was sponsored by the U.S. Information Agency to provide technical consultation to Brazilian information organizations, present a talk on Automated Document Delivery and to participate in a panel on Technologies for Developing Countries at an international conference in Sao Paulo, Brazil. In February 1992 he was invited by the National Science Foundation to participate in a Workshop on Visual Information Management Systems held in San Jose, CA. In December 1989 he was invited by the United Nations Development Programme to present a series of workshops and seminars at the National Informatics Centre and the Indian Space Research Organization in India.

Professional Activities: 

He publishes widely in the technical literature and serves regularly as an invited speaker and session chairman at various imaging conferences. In July 2001 he was the co-General Chair of the 14th IEEE Symposium for Computer-Based Medical Systems (CBMS 2001) held at NIH. He serves as a reviewer for the IEEE Computer Journal, IEEE Parallel and Distributed Technology Journal, and the IEEE Journal on Selected Areas in Communications. He serves on the editorial review board of the Information Processing and Management Journal and Journal of Clinical Engineering. He serves as a proposal reviewer for the National Science Foundation, National Institutes of Health, National Endowment for the Humanities and other organizations. In 1994, he served on a Blue Ribbon panel for electronic document standards at the National Institute for Standards and Technology. He served two consecutive terms on the National Standards Board of the Association for Information and Image Management. Since 1999 he has served on the Maryland Governor's Task Force on High Speed Networks. Dr. Thoma is a Fellow of the SPIE, the International Society for Optical Engineering. He is listed in American Men and Women of Science, Who's Who in Technology Today and similar publications.

Publications/Tools by George Thoma: 
Sornapudi S, Stanley RJ, Stoecker WV, Almubarak H, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels. J Pathol Inform. 2018 Mar 5;9:5. doi: 10.4103/jpi.jpi_74_17. eCollection 2018.
Rajaraman S, Antani SK, Poostchi Mohammadabadi M, Silamut K, Hossain MA, Maude RJ, Jaeger S, Thoma GR. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018 Apr 16;6:e4568. doi: 10.7717/peerj.4568. eCollection 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).
Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. SPIE Medical Imaging 2018
Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio LR, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. SPIE Medical Imaging 2018
Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509,
Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma GR. Image analysis and machine learning for detecting malaria. Transl Res. 2018 Apr;194:36-55. doi: 10.1016/j.trsl.2017.12.004. Epub 2018 Jan 12.
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.
Zou J, Antani SK, Thoma GR. Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals. Proceedings of International Conference on Document Analysis and Recognition, November 13, 2017
Moallem G, Poostchi M, Yu H, Palaniappan N, Silamut K, Maude RJ, Hossain Md Amir, Jaeger S, Antani SK, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Poster, 2017