5 citations · 7 across the 3 of their papers we have counts for
3 papers
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov +77
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a sign…
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
João Lourenço Silva, Arlindo L. Oliveira
Medical image segmentation is inherently uncertain. For a given image, there may be multiple plausible segmentation hypotheses, and physicians will often disagree on lesion and org…
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues +3
Coronary X-ray angiography is a crucial clinical procedure for the diagnosis and treatment of coronary artery disease, which accounts for roughly 16% of global deaths every year. H…