3 papers
cs.LG2024
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
Chenqi Li, Boyan Gao, Gabriel Jones +2
Deep learning models have demonstrated exceptional performance in a variety of real-world applications. These successes are often attributed to strong base models that can generali…
cs.AI2024
PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring
M. Jaleed Khan, Manu Vatish, Gabriel Davis Jones
Antepartum Cardiotocography (CTG) is vital for fetal health monitoring, but traditional methods like the Dawes-Redman system are often limited by high inter-observer variability, l…
cs.LG2024
The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
M. Jaleed Khan, Ioana Duta, Beth Albert +3
The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique opportunity for advancements in obstetric care, particularly through the analysis of cardiotoc…