Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (MICCAI (2), 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (CoRR, 2019)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. - Tom Eelbode; Jeroen Bertels; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (IEEE Trans. Medical Imaging, 2020)

Convolutional LSTM. - Tom Eelbode; Pieter Sinonquel; Raf Bisschops; Frederik Maes (Computer-Aided Analysis of Gastrointestinal Videos, 2021)