7 citations · 7 across the 3 of their papers we have counts for
3 papers
Evaluating Feature Attribution Methods in the Image Domain
Arne Gevaert, Axel-Jan Rousseau, Thijs Becker +3
Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth in popularity and avai…
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation
Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels +2
Neural networks for automated image segmentation are typically trained to achieve maximum accuracy, while less attention has been given to the calibration of their confidence score…
Assigning peaks and modeling ETD in top-down mass spectrometry
Mateusz Krzysztof Łącki, Frederik Lermyte, Błażej Miasojedow +5
Among many techniques of modern mass spectrometry, the top down methods are becoming continuously more popular in the overall strive to describe the proteome. These techniques are…