Dr. Sameer K. Antani
Staff Scientist at NLM/NIH
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 (66)

Proceedings Article | 16 March 2020 Paper
Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis
KEYWORDS: Doppler effect, Sensors, Image segmentation, Image processing, Heart, Blood circulation, Image filtering, Electrocardiography, Echocardiography, Doppler tomography

Proceedings Article | 16 March 2020 Presentation + Paper
Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis
KEYWORDS: Data mining, Computer aided diagnosis and therapy, Image segmentation, Microscopy, Mining, Object recognition, Image classification, Systems modeling

Proceedings Article | 2 March 2020 Presentation + Paper
Proc. SPIE. 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Convolutional neural networks, Data modeling, Visualization, Image segmentation, Feature extraction, Cell biology, Image classification, Feature selection, Cervical cancer, Liquids

Proceedings Article | 2 March 2020 Presentation + Paper
Proc. SPIE. 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Convolutional neural networks, Data modeling, Visualization, Image segmentation, Cervix, Data acquisition, Image quality, Machine learning, Cervical cancer

Proceedings Article | 28 February 2020 Presentation + Paper
Proc. SPIE. 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Convolutional neural networks, Feature extraction, Neuroimaging, Signal detection, Alzheimer's disease, Neurological disorders, Network architectures, Brain mapping, Functional magnetic resonance imaging, Brain

Showing 5 of 66 publications
Conference Committee Involvement (3)
Computer-Aided Diagnosis
16 February 2020 | Houston, Texas, United States
Document Recognition and Retrieval XXII
11 February 2015 | San Francisco, California, United States
Document Recognition and Retrieval XXI
5 February 2014 | San Francisco, California, United States
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