Researcher profile
Peter H. N. de With
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
2024 · IEEE Transactions on Medical Imaging
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses. In Machine Learning, this ambiguity is commonly referred …
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Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits
2025 · Computers in Biology and Medicine
The success of deep learning and computer vision of natural images has led to an increased interest in medical image deep learning applications. However, introducing black-box deep learning models leaves little room for domain-specific knowledge …