WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning. - Sebastian R. van der Voort; Fatih Incekara; Maarten M. J. Wijnenga; Georgios Kapsas; Renske Gahrmann; Joost W. Schouten; Rishi Nandoe Tewarie; Geert J. Lycklama; Philip C. de Witt Hamer; Roelant S. Eijgelaar; Pim J. French; Hendrikus J. Dubbink; et al. (CoRR, 2020)

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. - David Bouget; André Pedersen; Asgeir S. Jakola; Vasileios Kavouridis; Kyrre Eeg Emblem; Roelant S. Eijgelaar; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Marco Conti Nibali; et al. (CoRR, 2022)

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. - Ragnhild Holden Helland; Alexandros Ferles; André Pedersen; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Tora Dunås; Marco Conti Nibali; Julia Furtner; Shawn Hervey-Jumper; et al. (CoRR, 2023)

Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact. - Ragnhild Holden Helland; David Bouget; Roelant S. Eijgelaar; Philip C. de Witt Hamer; Frederik Barkhof; Ole Solheim; Ingerid Reinertsen (MICCAI (6), 2024)