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Found 6 papers, 3 papers with code
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
Moreover, tracking longer term developments that occur over months or years in evolving processes, such as age-related macular degeneration (AMD), is essential for accurate prognosis.
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
In this paper, we propose a method to propagate uncertainty through cascades of deep learning models in medical imaging pipelines.
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI
In a qualitative analysis, we demonstrate that our learned ECG embeddings incorporate information from CMR image regions of interest.
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
Medical datasets and especially biobanks, often contain extensive tabular data with rich clinical information in addition to images.
Unified Signature Cumulants and Generalized Magnus Expansions
The signature of a path can be described as its full non-commutative exponential.
Probability 60L10, 60L90, 60E10, 60G44, 60G48, 60G51, 60J76
Reinforced optimal control
Least squares Monte Carlo methods are a popular numerical approximation method for solving stochastic control problems.
