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Found 4 papers, 4 papers with code
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images
In this work, we propose a new training method that predicts survival time using all censored and uncensored data.
Post-hoc Overall Survival Time Prediction from Brain MRI
In this paper, we introduce a new post-hoc method for OS time prediction that does not require segmentation map annotation for training.
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
The deployment of automated systems to diagnose diseases from medical images is challenged by the requirement to localise the diagnosed diseases to justify or explain the classification decision.
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstruction generative adversarial network (GAN).
3D Reconstruction
Cultural Vocal Bursts Intensity Prediction
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