Jeroen Bertels | DeepAI

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∙ 03/28/2023

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

The soft Dice loss (SDL) has taken a pivotal role in many automated segm...

0 Zifu Wang, et al. ∙

∙ 11/17/2022

DeepVoxNet2: Yet another CNN framework

We know that both the CNN mapping function and the sampling scheme are o...

0 Jeroen Bertels, et al. ∙

∙ 11/17/2022

Convolutional neural networks for medical image segmentation

In this article, we look into some essential aspects of convolutional ne...

0 Jeroen Bertels, et al. ∙

∙ 11/09/2022

Final infarct prediction in acute ischemic stroke

This article focuses on the control center of each human body: the brain...

0 Jeroen Bertels, et al. ∙

∙ 11/08/2022

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

The clinical interest is often to measure the volume of a structure, whi...

0 Jeroen Bertels, et al. ∙

∙ 09/26/2022

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations

Performance metrics for medical image segmentation models are used to me...

0 Sophie Ostmeier, et al. ∙

∙ 07/19/2022

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

Albeit the Dice loss is one of the dominant loss functions in medical im...

0 Sofie Tilborghs, et al. ∙

∙ 12/23/2021

On the relationship between calibrated predictors and unbiased volume estimation

Machine learning driven medical image segmentation has become standard i...

2 Teodora Popordanoska, et al. ∙

∙ 11/23/2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Our motivating application is a real-world problem: COVID-19 classificat...

10 Abel Díaz Berenguer, et al. ∙

∙ 10/26/2020

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

In many medical imaging and classical computer vision tasks, the Dice sc...

19 Tom Eelbode, et al. ∙

∙ 07/29/2020

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Recent research on COVID-19 suggests that CT imaging provides useful inf...

0 Sofie Tilborghs, et al. ∙

∙ 11/06/2019

Optimization with soft Dice can lead to a volumetric bias

Segmentation is a fundamental task in medical image analysis. The clinic...

0 Jeroen Bertels, et al. ∙

∙ 11/05/2019

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory Practice

The Dice score and Jaccard index are commonly used metrics for the evalu...

10 Jeroen Bertels, et al. ∙

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