Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. - Arna van Engelen; Anouk C. van Dijk; Martine T. B. Truijman; Ronald van't Klooster; Annegreet van Opbroek; Aad van der Lugt; Wiro J. Niessen; M. Eline Kooi; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2015)

Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. - Arna van Engelen; Marleen de Bruijne; Torben Schneider; Anouk C. van Dijk; M. Eline Kooi; Jeroen Hendrikse; Aart J. Nederveen; Wiro J. Niessen; René M. Botnar (MIUA, 2017)

Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation. - Robin Camarasa; Daniel Bos; Jeroen Hendrikse; Paul H. J. Nederkoorn; M. Eline Kooi; Aad van der Lugt; Marleen de Bruijne (UNSURE/GRAIL@MICCAI, 2020)

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation. - Robin Camarasa; Daniel Bos; Jeroen Hendrikse; Paul H. J. Nederkoorn; M. Eline Kooi; Aad van der Lugt; Marleen de Bruijne (CoRR, 2021)

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. - Elizaveta Lavrova; Zohaib Salahuddin; Henry C. Woodruff; Mohamed Kassem; Robin Camarasa; Anja G. van der Kolk; Paul H. J. Nederkoorn; Daniel Bos; Jeroen Hendrikse; M. Eline Kooi; Philippe Lambin (IEEE Access, 2023)

Nested star-shaped objects segmentation using diameter annotations. - Robin Camarasa; Hoel Kervadec; M. Eline Kooi; Jeroen Hendrikse; Paul H. J. Nederkoorn; Daniel Bos; Marleen de Bruijne (Medical Image Anal., 2023)