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Staff Scientist
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Expertise and Research Interests: 

Dr. Antani is a versatile researcher leading several scientific and technical research projects. He applies his expertise in biomedical image informatics, automatic medical image interpretation, machine learning, information retrieval, computer vision, and related topics in computer science and engineering technology toward advancing the role of computational sciences in biomedical research, education, and clinical care. His current R&D projects include: an automatic screening system for detecting presence of Tuberculosis (TB) and other pulmonary abnormalities in digital chest x-ray images; an automatic cell counting system for malaria screening; retrieval of fMRI data based on activation similarity; and, the OPEN-iSM biomedical image retrieval system that provides text and visual search capability to retrieve over 3.2 million images and videos from approximately 1.2 million Open Access biomedical research articles from NLM’s PubMed Central® repository.

His other work includes contributions to cervical cancer diagnostics through cervicography and histology image analysis; retrieval of spine x-rays from an image database using visual and shape queries; and, next generation scientific publishing.

Professional Activities: 

Dr. Antani is a Senior Member of the International Society of Photonics and Optics (SPIE), Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Computer Society. He serves as the Vice Chair for Computational Medicine on the IEEE Technical Committee on Computational Life Sciences (TCCLS), and as an Associate Editor for the IEEE Journal of Biomedical and Health Informatics.

Honors and Awards: 

In 2015, the malaria screening project received awards from HHS Ventures Fund, a Department of Health and Human Services initiative that serves as an “incubator for new ideas” run out of the HHS IDEA Lab. Prior, in 2014, his project on automated chest X-ray screening project was, similarly, an awardee of HHS Ignite. In addition to several staff achievement awards, in 2013, he received the NIH Award of Merit for his contribution to novel image and text based methods for searching the biomedical literature. In 2012, he received the NIH Award of Merit for his contributions to novel ways of search biomedical literature using visual and text queries in the Open-i project. In 2009, he received the NIH Award of Merit for his contributions to Content-Based Image Retrieval in Geographically Distributed Systems. In 2008, he was a member of the NLM team recognized by Internet2 for developing geography-independent cancer research tools.

Publications/Tools by Sameer Antani: 
Guo P, Almubarak H, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier S, Moss R, Stoecker W. Enhancements in localized classification for uterine cervical cancer digital histology image assessment. J Pathology Informatics 2016, 7:51 (30 December 2016) DOI:10.4103/2153-3539.197193
Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude RJ, Huang JX, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine, Shenzhen, China, 2016.
Narum R, Zou J, Antani SK. Semi-Automated Ground-Truth Data Collection and Annotation for Journal Figure Analysis. 2016 NIH Research Festival
De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
De Herrera A, Schaer R, Antani SK, Müller H. Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016.
Jaeger S, Silamut K, Yu H, Poostchi M, Ersoy I, Powell A, Liang Z, Hossain M, Antani SK, Palaniappan K, Maude R, Thoma GR. Reducing the Diagnostic Burden of Malaria Using Microscopy Image Analysis and Machine Learning in the Field. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Atlanta, USA, 2016.
Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
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
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.
De Herrera A, Long LR, Antani SK. Content–based fMRI activation maps retrieval. National Library of Medicine Informatics Training Conference. Columbus, OH, USA, 2016