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)

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting. - David Bouget; Demah Alsinan; Valeria Gaitan; Ragnhild Holden Helland; André Pedersen; Ole Solheim; Ingerid Reinertsen (CoRR, 2023)

AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study. - Javier Pérez de Frutos; Ragnhild Holden Helland; Shreya Desai; Line Cathrine Nymoen; Thomas Langø; Theodor Remman; Abhijit Sen (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)

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations. - Mathilde Faanes; Ragnhild Holden Helland; Ole Solheim; Ingerid Reinertsen (CoRR, 2024)