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Sameer Antani, PhD

About

Picture of Sameer Antani, PhD

Sameer Antani, PhD

Tenure Track Investigator, Computational Health Research Branch, LHNCBC

Research in machine learning and artificial intelligence, medical image and signal processing, and information retrieval for solving challenging problems and advancing health.

Contact Information

Building 38A, 8600 Rockville Pike MSC 6075 Bethesda, MD 20894

Tel: (301) 435-3218

sameer.antani@nih.gov

Research Interests

Dr. Antani is a versatile senior researcher with expertise in machine learning and artificial intelligence (ML/AI), biomedical image informatics, image processing and computer vision, and information retrieval. His research studies the use of Ml/AI as a part of his interest in advancing computational sciences and engineering in biomedical research, education, and clinical care. In addition to advancing AI techniques for decision making and analysis of large biomedical data, his research extends to applying lessons learned on important health problems through trans-NIH collaborations, e.g., NCI (cervical cancer), NIAID (HIV/TB in adults and children, and drug resistant variants), among others. Dr. Antani is a senior member of the International Society of Photonics and Optics (SPIE), the Institute of Electrical and Electronics Engineers (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 (LSTC).

Publications

Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani SK. A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs. Bioengineering (Basel). 2022 Aug 24;9(9). doi: 10.3390/bioengineering9090413. PubMed PMID: 36134959; PubMed Central PMCID: PMC9495849.

Zamzmi G, Rajaraman S, Hsu LY, Sachdev V, Antani S. Real-time echocardiography image analysis and quantification of cardiac indices. Med Image Anal. 2022 Aug;80:102438. doi: 10.1016/j.media.2022.102438. Epub 2022 Jun 9. PubMed PMID: 35868819; PubMed Central PMCID: PMC9310146.

Rajaraman S, Guo P, Xue Z, Antani SK. A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays. Diagnostics (Basel). 2022 Jun 11;12(6). doi: 10.3390/diagnostics12061442. PubMed PMID: 35741252; PubMed Central PMCID: PMC9221627.

Rajaraman S, Zamzmi G, Yang F, Xue Z, Jaeger S, Antani SK. Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays. Biomedicines. 2022 Jun 4;10(6). doi: 10.3390/biomedicines10061323. PubMed PMID: 35740345; PubMed Central PMCID: PMC9220007.

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