Dr. Sameer K. Antani
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
Biomedical Imaging , Image Retrieval , Machine Learning , Image Processing , Document Image Analysis , Mobile Health Applications
Profile Summary

Sameer Antani is a Staff Scientist and (Acting) Chief of the Communications Engineering Branch and the Computer Science Branch, respectively, at the Lister Hill National Center for Biomedical Communications, an intramural R&D division of the National Library of Medicine (NLM) part of the National Institutes of Health (NIH) in Bethesda, Maryland, USA. He leads abnd directs R&D in advancing the role of computational sciences and engineering in biomedical research, education, and clinical care. His research applies and studies methods for explaining the behavior of machine intelligence methods in automated decision support in biomedical applications. His expertise includes biomedical imaging, machine learning, medical informatics, information retrieval, computer vision, and related topics in computer science and engineering technology. His contributions include automated screening for high burden diseases such as (i) Tuberculosis (TB) in HIV positive patients using digital chest X-ray image analysis; (ii) cervical cancer in women using analysis of acetowhitened images of the cervix, and whole slide images of liquid-based Pap smears and histopathology images from cervical biopsies; and, (iii) automated methods for detecting malaria parasites in microscopic images of thick and thin blood smears. Other contributions include functional MRI (fMRI) simulation for brain research and similarity retrieval; analysis of ophthalmic fundus images for glaucoma, and, the OPEN-i® biomedical image retrieval system Dr. Antani is a senior member of the SPIE, and IEEE. He serves as the vice chair for computational medicine on the IEEE Computer Society’s Technical Committee on Computational Life Sciences (TCCLS) and the IEEE Life Sciences Technical Community. He is currently on the Editorial Board of MDPI Journal Data.
Publications (73)

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12931, 129310E (2024) https://doi.org/10.1117/12.3005875
KEYWORDS: Machine learning, Mouth, Cancer, Medical imaging, Deep learning, Data corrections, Quality control

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12037, 120370E (2022) https://doi.org/10.1117/12.2611541
KEYWORDS: Cancer, Image classification, Visualization, Mouth, Image analysis, Feature extraction

Proceedings Article | 4 April 2022 Presentation + Paper
Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer Antani
Proceedings Volume 12033, 120330J (2022) https://doi.org/10.1117/12.2612578
KEYWORDS: Echocardiography, Image classification, Doppler effect, Video, Visualization, Library classification systems, Data modeling, Matrices, Machine learning, Heart

Proceedings Article | 7 March 2022 Presentation
Proceedings Volume PC11950, PC1195003 (2022) https://doi.org/10.1117/12.2610213
KEYWORDS: Image quality, Visualization, Digital photography, Visual analytics, Receivers, Point-of-care devices, Photography, Image quality standards, Image analysis, Cervix

Proceedings Article | 2 March 2022 Presentation + Paper
Proceedings Volume 11950, 1195008 (2022) https://doi.org/10.1117/12.2610235
KEYWORDS: Cervix, Image quality, Denoising, RGB color model, Visualization, Image classification, Imaging devices, Performance modeling, Image denoising, Image analysis

Showing 5 of 73 publications
Conference Committee Involvement (8)
Computer-Aided Diagnosis
17 February 2025 | San Diego, California, United States
Computer-Aided Diagnosis
19 February 2024 | San Diego, California, United States
Computer-Aided Diagnosis
20 February 2023 | San Diego, California, United States
Computer-Aided Diagnosis
21 February 2022 | San Diego, California, United States
Computer-Aided Diagnosis
15 February 2021 | Online Only, California, United States
Showing 5 of 8 Conference Committees
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