F. Maes

activity

20112022

most citedOptimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index

429 citations · 751 across the 9 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.CV2022★ 6 cited

The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$

Sofie Tilborghs, Jeroen Bertels, David Robben +2

Albeit the Dice loss is one of the dominant loss functions in medical image segmentation, most research omits a closer look at its derivative, i.e. the real motor of the optimizati…

eess.IV2022★ 11 cited

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

Sofie Tilborghs, Jan Bogaert, Frederik Maes

Semantic segmentation using convolutional neural networks (CNNs) is the state-of-the-art for many medical image segmentation tasks including myocardial segmentation in cardiac MR i…

The Dice loss in the context of missing or empty labels: Introducing Φ and ε

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$