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Found 6 papers, 0 papers with code
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction
Event prediction aims to forecast the time and type of a future event based on a historical event sequence.
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
We leveraged our AU-ICU dataset with 107, 064 frames collected in the ICU annotated with facial action units (AUs) labels by trained annotators.
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units
In this work, we evaluated two vision transformer models, namely ViT and SWIN, for AU detection on our Pain-ICU dataset and also external datasets.
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture
However, Ultrasound Guided Regional Anesthesia (UGRA) requires anesthesiologists to visually recognize the actual nerve position in the ultrasound images.
Facial Action Unit Detection on ICU Data for Pain Assessment
Previous studies showed the feasibility of automatic pain assessment by detecting Facial Action Units (AUs).
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHR).
