2 papers
eess.SP2025
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
Rushuang Zhou, Yuan-Ting Zhang, M. Jamal Deen +1
Deploying advanced cardiac artificial intelligence for daily cardiac monitoring is hindered by its reliance on extensive medical data and high computational resources. Low-cost car…
eess.IV2025
An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil +43
Predicting clinical outcomes from medical images using quantitative features (``radiomics'') requires many method design choices, Currently, in new clinical applications, finding t…