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Found 4 papers, 2 papers with code
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner.
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
In this paper, we present a novel method to automatically classify medical images that learns and leverages weak causal signals in the image.
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
Our method consists of a convolutional neural network backbone and a causality-factors extractor module, which computes weights to enhance each feature map according to its causal influence in the scene.
The role of causality in explainable artificial intelligence
More precisely, we seek to uncover what kinds of relationships exist between the two concepts and how one can benefit from them, for instance, in building trust in AI systems.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
