Research Topics
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.
Selected Publications
- Zamzmi G, Rajaraman S, Hsu LY, Sachdev V, Antani S. Real-time echocardiography image analysis and quantification of cardiac indices. Med Image Anal. 2022;80:102438.
- Xue Z, Novetsky AP, Einstein MH, Marcus JZ, Befano B, Guo P, Demarco M, Wentzensen N, Long LR, Schiffman M, Antani S. A demonstration of automated visual evaluation of cervical images taken with a smartphone camera. Int J Cancer. 2020;147(9):2416-2423.
- Zamzmi G, Hsu LY, Rajaraman S, Li W, Sachdev V, Antani S. Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure. Int J Cardiovasc Imaging. 2023;39(12):2437-2450.
- 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;229(Pt A).
- Ahmed SR, Befano B, Lemay A, Egemen D, Rodriguez AC, Angara S, Desai K, Jeronimo J, Antani S, Campos N, Inturrisi F, Perkins R, Kreimer A, Wentzensen N, Herrero R, Del Pino M, Quint W, de Sanjose S, Schiffman M, Kalpathy-Cramer J. Reproducible and clinically translatable deep neural networks for cervical screening. Sci Rep. 2023;13(1):21772.
Related Scientific Focus Areas
Biomedical Engineering and Biophysics
View additional Principal Investigators in Biomedical Engineering and Biophysics
This page was last updated on Wednesday, September 4, 2024