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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.
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论文共 96 篇作者统计合作学者相似作者
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Computerized Medical Imaging and Graphics (2024): 102379-102379
CoRRno. 1 (2024): e0000286-e0000286
Zhiyun Xue, Tochi Oguguo,Kelly Yu,Tseng-Cheng Chen,Chun-Hung Hua, Chung Jan Kang,Chih-Yen Chien,Ming-Hsui Tsai,Cheng-Ping Wang,Anil K. Chaturvedi,Sameer Antani
Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications (2024)
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)pp.3097-3102, (2023)
Frontiers in Big Data (2023): 1173038
JACC. Cardiovascular imagingno. 9 (2023): 1209-1223
Research square (2023)
Groesbeck P. Parham,Didem Egemen,Brian Befano,Mulindi H. Mwanahamuntu,Ana Cecilia Rodriguez,Sameer Antani,Samson Chisele, Mukatimui Kalima Munalula, Friday Kaunga, Francis Musonda, Evans Malyangu,Aaron Lunda Shibemba,
Infectious agents and cancerno. 1 (2023): 1-11
The international journal of cardiovascular imagingno. 12 (2023): 2437-2450
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