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Sameer Antani, PhD

About

Research Interests

Dr. Antani is a senior researcher with contributing to advancing machine intelligence for automated, reliable, and interpretable clinical decision-making. In advancing reliable medical image-based artificial intelligence and machine learning (AI/ML), his current research focuses on characterizing data and their impact on AI prediction quality, making them interpretable and generalizable, and ultimately enabling them for disease screening, diagnostics, and treatment guidance. These interests are explored through computational health research in cardiopulmonary, infectious, cancer, genetic, and age-related diseases/conditions through multidisciplinary collaboration with experts in clinical medicine, medical informatics, statistics, and epidemiology at the NIH, and in academia and industry in the United States and worldwide. Dr. Antani holds scientific journal editorial board memberships, and various other leadership positions in scientific and technical professional societies (IEEE, SPIE). He is a Fellow of the American Institute of Medical and Biological Engineers (AIMBE) and a Senior Member of the IEEE and the SPIE, respectively. Bibliography is available here and on Google Scholar.

Publications

Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S. Can Deep Adult Lung Segmentation Models Generalize to the Pediatric Population?. Expert Syst Appl. 2023 Nov 1;229(Pt A). doi: 10.1016/j.eswa.2023.120531. Epub 2023 May 24. PubMed PMID: 37397242; PubMed Central PMCID: PMC10310063.

Dey D, Arnaout R, Antani S, Badano A, Jacques L, Li H, Leiner T, Margerrison E, Samala R, Sengupta PP, Shah SJ, Slomka P, Williams MC, Bandettini WP, Sachdev V. Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care. JACC Cardiovasc Imaging. 2023 Sep;16(9):1209-1223. doi: 10.1016/j.jcmg.2023.05.012. Epub 2023 Jul 19. Review. PubMed PMID: 37480904; PubMed Central PMCID: PMC10524663.

Pal A, Xue Z, Antani S. Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets. Front ICT Healthc (2002). 2023;519:679-688. doi: 10.1007/978-981-19-5191-6_55. Epub 2023 Apr 25. PubMed PMID: 37396668; PubMed Central PMCID: PMC10311633.

Deshpande P, Rasin A, Tchoua R, Furst J, Raicu D, Schinkel M, Trivedi H, Antani S. Biomedical heterogeneous data categorization and schema mapping toward data integration. Front Big Data. 2023;6:1173038. doi: 10.3389/fdata.2023.1173038. eCollection 2023. PubMed PMID: 37139170; PubMed Central PMCID: PMC10149933.

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