Latest AI and machine learning research in critical care for healthcare professionals.
Fully exploring the correlation of local features and their spatial distribution in point clouds is ...
Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Accurate segmentation of the right ventricle from cardiac magnetic resonance images (MRI) is a criti...
Given a trained deep graph convolution network (GCN), how can we effectively compress it into a comp...
Emotion recognition is an important research field for human-computer interaction. Audio-video emoti...
BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effec...
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to int...
Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of th...
This paper presents and explores a robust deep learning framework for auscultation analysis. This ai...
Given multiple source datasets with labels, how can we train a target model with no labeled data? Mu...
BACKGROUND: In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate estimation o...
Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide pre...
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pre...
Normative modelling is an emerging method for quantifying how individuals deviate from the healthy p...
Large, fine-grained image segmentation datasets, annotated at pixel-level, are difficult to obtain, ...
BACKGROUND: COVID-19 diagnosis in symptomatic patients is an important factor for arranging the nece...
Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances i...
In the field of surface defect detection, the scale difference of product surface defects is often h...
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However,...
Large-scale fading models play an important role in estimating radio coverage, optimizing base stati...