Automatic segmentation of brain tumor resections in intraoperative ultrasound images. - François-Xavier Carton; Jack H. Noble; Matthieu Chabanas (Image-Guided Procedures, 2019)

Automatic segmentation of brain tumor in intraoperative ultrasound images using 3D U-Net. - François-Xavier Carton; Matthieu Chabanas; Bodil K. R. Munkvold; Ingerid Reinertsen; Jack H. Noble (Image-Guided Procedures, 2020)

Multiclass segmentation of brain intraoperative ultrasound images with limited data. - François-Xavier Carton; Jack H. Noble; Florian Le Lann; Bodil K. R. Munkvold; Ingerid Reinertsen; Matthieu Chabanas (Image-Guided Procedures, 2021)

Realistic synthesis of brain tumor resection ultrasound images with a generative adversarial network. - Mélanie Donnez; François-Xavier Carton; Florian Le Lann; Emmanuel De Schlichting; Matthieu Chabanas (Image-Guided Procedures, 2021)

Image segmentation and registration using machine learning for brain shift compensation in image-guided neurosurgery. (Segmentation et recalage d'images avec machine learning pour la compensation du brain shift en neurochirurgie guidée par image). - François-Xavier Carton (2021)

RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. - Bahareh Behboodi; François-Xavier Carton; Matthieu Chabanas; Sandrine de Ribaupierre; Ole Solheim; Bodil K. R. Munkvold; Hassan Rivaz; Yiming Xiao; Ingerid Reinertsen (CoRR, 2022)