Jeroen Bertels

most citedThe Dice loss in the context of missing or empty labels: Introducing

Φ

and

ε

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

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.IV2021

On the relationship between calibrated predictors and unbiased volume estimation

Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen +2

Machine learning driven medical image segmentation has become standard in medical image analysis. However, deep learning models are prone to overconfident predictions. This has led…