1 citations · 1 across the 5 of their papers we have counts for
6 papers
A Hierarchical Computer Vision Pipeline for Physiological Data Extraction from Bedside Monitors
Vinh Chau, Khoa Le Dinh Van, Hon Huynh Ngoc +9
In many low-resource healthcare settings, bedside monitors remain standalone legacy devices without network connectivity, creating a persistent interoperability gap that prevents s…
Automatic retrieval of corresponding US views in longitudinal examinations
Hamideh Kerdegari, Tran Huy Nhat Phung1, Van Hao Nguyen +12
Skeletal muscle atrophy is a common occurrence in critically ill patients in the intensive care unit (ICU) who spend long periods in bed. Muscle mass must be recovered through phys…
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries
Miguel Xochicale, Louise Thwaites, Sophie Yacoub +5
We present a Machine Learning (ML) study case to illustrate the challenges of clinical translation for a real-time AI-empowered echocardiography system with data of ICU patients in…
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride +5
Lung ultrasound (LUS) imaging is becoming popular in the intensive care units (ICU) for assessing lung abnormalities such as the appearance of B-line artefacts as a result of sever…
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients
Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride +6
Lung ultrasound (LUS) imaging is used to assess lung abnormalities, including the presence of B-line artefacts due to fluid leakage into the lungs caused by a variety of diseases.…
Severity Detection Tool for Patients with Infectious Disease
Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh +14
Hand, foot and mouth disease (HFMD) and tetanus are serious infectious diseases in low and middle income countries. Tetanus in particular has a high mortality rate and its treatmen…