Human-visual-system-based fusion of multimodality 3D neuroimagery using brain-shift-compensating finite-element-based deformable models. - Jacques G. Verly; Lara M. Vigneron; Nicolas Petitjean; Christophe Martin; Raluca Guran; Romain Boman; Pierre A. Robe (Image-Guided Procedures, 2003)

Nonrigid registration and multimodality fusion for 3D image-guided neurosurgical planning and navigation. - Jacques G. Verly; Lara M. Vigneron; Nicolas Petitjean; Christoph Martin; Michel Hogge; J. Mercenier; V. Jamoye; Pierre A. Robe (Image-Guided Procedures, 2004)

Problems and Challenges of Image-Guided Neurosurgical Navigation and Intervention. - Jacques G. Verly; Martin Kavec; Lara M. Vigneron; Christophe Phillips; Romain Boman; Vincent Libertiaux; Jean-Philippe Ponthot; Serge Cescotto; Pierre Robe; Didier Martin; David Wikler; Marc Levivier; et al. (ISCIS, 2006)

XFEM-based modeling of successive resections for preoperative image updating. - Lara M. Vigneron; Pierre A. Robe; Simon K. Warfield; Jacques G. Verly (Image-Guided Procedures, 2006)

Generalized expectation-maximization segmentation of brain MR images. - Arnaud A. Devalkeneer; Pierre A. Robe; Jacques G. Verly; Christophe Phillips (Image Processing, 2006)

Enhanced FEM-based modeling of brain shift deformation in Image-Guided Neurosurgery. - Lara M. Vigneron; Romain Boman; Jean-Philippe Ponthot; Pierre Robe; Simon K. Warfield; Jacques G. Verly (J. Comput. Appl. Math., 2010)

Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI. - Lara M. Vigneron; Ludovic Noels; Simon K. Warfield; Jacques G. Verly; Pierre Robe (Int. J. Biomed. Imaging, 2012)

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)