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The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality., , , , , , , , , и 2 other автор(ы). Frontiers Digit. Health, (2022)A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries., , , , , , , и . CoRR, (2022)Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients., , , , , , , , и . CoRR, (2021)A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings., , , , и . IEEE Trans. Biomed. Circuits Syst., 17 (2): 349-361 (апреля 2023)Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness., , , , , , , , , и 8 other автор(ы). Frontiers Digit. Health, (марта 2023)B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation., , , , , , , и . CoRR, (2021)Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools., , , , , , , , , и 5 other автор(ы). BMC Medical Informatics Decis. Mak., 23 (1): 24 (декабря 2023)Automatic Detection of B-lines in Lung Ultrasound Videos from Severe Dengue Patients., , , , , , , и . ISBI, стр. 989-993. IEEE, (2021)Automatic retrieval of corresponding US views in longitudinal examinations., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Automatic Retrieval of Corresponding US Views in Longitudinal Examinations., , , , , , , , , и 4 other автор(ы). MICCAI (1), том 14220 из Lecture Notes in Computer Science, стр. 152-161. Springer, (2023)