Journal of Machine Learning for Biomedical Imaging

Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation

Prerak P. Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao, Eleftheria Astreinidou, Mischa de Ridder, Nienke Hoekstra, Klaus Hildebrandt, and Marius Staring


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Citation

Prerak P. Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao, Eleftheria Astreinidou, Mischa de Ridder, Nienke Hoekstra, Klaus Hildebrandt, and Marius Staring, Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation, Journal of Machine Learning for Biomedical Imaging, 2024.

BibTex

@article{bib:mody:2024,
    author       = { Mody, Prerak P. and Chaves-de-Plaza, Nicolas F. and Rao, Chinmay and Astreinidou, Eleftheria and de Ridder, Mischa and Hoekstra, Nienke and Hildebrandt, Klaus and Staring, Marius },    
    title        = { Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation },
    journal      = { Journal of Machine Learning for Biomedical Imaging },
    year         = { 2024 },
    doi          = { 10.59275/j.melba.2024-5gc8 },
    url          = { https://publications.graphics.tudelft.nl/papers/836 },
}