output
20192024
most citedMedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

35 citations

researchers with a paper here
collaborating institutions
Showing 2022 · cs.CVShow all

3 papers · 2 filters

cs.CV2022★ 18 cited

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

Jeroen Bertels, David Robben, Dirk Vandermeulen +1

The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the simi…

cs.CV2022★ 2 cited

Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions

Luca Canalini, Jan Klein, Nuno Pedrosa de Barros +3

In this work, we compare five deep learning solutions to automatically segment the resection cavity in postoperative MRI. The proposed methods are based on the same 3D U-Net archit…

cs.CV2022★ 6 cited

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

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…