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Found 3 papers, 1 papers with code
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
Modern deep unsupervised learning methods have shown great promise for detecting diseases across a variety of medical imaging modalities.
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
However, existing computer vision techniques for pain detection are not validated on faces of older adults or people with dementia, and this population is not represented in existing facial expression datasets of pain.
Ranked #1 on
Pain Intensity Regression
on UNBC-McMaster ShoulderPain dataset
(Pearson Correlation Coefficient metric)
Using Generative Models for Pediatric wbMRI
Early detection of cancer is key to a good prognosis and requires frequent testing, especially in pediatrics.
