Vessel Driven Correction of Brain Shift. - Ingerid Reinertsen; Maxime Descoteaux; Simon Drouin; Kaleem Siddiqi; D. Louis Collins (MICCAI (2), 2004)

Validation of vessel-based registration for correction of brain shift. - Ingerid Reinertsen; Maxime Descoteaux; Kaleem Siddiqi; D. Louis Collins (Medical Image Anal., 2007)

Clinical validation of vessel-based registration for correction of brain-shift. - Ingerid Reinertsen; Frank Lindseth; Geirmund Unsgård; D. Louis Collins (Medical Image Anal., 2007)

Validation of a hybrid Doppler ultrasound vessel-based registration algorithm for neurosurgery. - Sean Jy-Shyang Chen; Ingerid Reinertsen; Pierrick Coupé; Charles X. B. Yan; Laurence Mercier; Rolando Del Maestro; D. Louis Collins (Int. J. Comput. Assist. Radiol. Surg., 2012)

A new system for 3D ultrasound-guided placement of cerebral ventricle catheters. - Ingerid Reinertsen; Asgeir S. Jakola; P. Friderichsen; Frank Lindseth; Ole Solheim; Tormod Selbekk; Geirmund Unsgård (Int. J. Comput. Assist. Radiol. Surg., 2012)

Model-Guided Placement of Cerebral Ventricular Catheters. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Geirmund Unsgård (IPCAI, 2013)

Placement of External Ventricular Drains Using an Average Model. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Tormod Selbekk; G. Unsgaard (CLIP, 2013)

Validation of model-guided placement of external ventricular drains. - Ingerid Reinertsen; Asgeir S. Jakola; Tormod Selbekk; Ole Solheim (Int. J. Comput. Assist. Radiol. Surg., 2014)

CustusX: an open-source research platform for image-guided therapy. - Christian Askeland; Ole Vegard Solberg; Janne Beate Lervik Bakeng; Ingerid Reinertsen; Geir Arne Tangen; Erlend Fagertun Hofstad; Daniel Høyer Iversen; Cecilie Våpenstad; Tormod Selbekk; Thomas Langø; Toril A. Nagelhus Hernes; Håkon Olav Leira; et al. (Int. J. Comput. Assist. Radiol. Surg., 2016)

Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation. - Fanny Morin; Hadrien Courtecuisse; Ingerid Reinertsen; Florian Le Lann; Olivier Palombi; Yohan Payan; Matthieu Chabanas (Medical Image Anal., 2017)

Resection-induced brain-shift compensation using vessel-based methods. - Fanny Morin; Hadrien Courtecuisse; Ingerid Reinertsen; Florian Le Lann; Olivier Palombi; Yohan Payan; Matthieu Chabanas (Image-Guided Procedures, 2018)

Automatic intraoperative estimation of blood flow direction during neurosurgical interventions. - Daniel Høyer Iversen; Lasse Løvstakken; Geirmund Unsgård; Ingerid Reinertsen (Int. J. Comput. Assist. Radiol. Surg., 2018)

Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. - Yiming Xiao; Live Eikenes; Ingerid Reinertsen; Hassan Rivaz (Int. J. Comput. Assist. Radiol. Surg., 2018)

Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. - Yiming Xiao; Live Eikenes; Ingerid Reinertsen; Hassan Rivaz (Int. J. Comput. Assist. Radiol. Surg., 2018)

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)

Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture. - David Bouget; André Pedersen; Sayied Abdol Mohieb Hosainey; Johanna Vanel; Ole Solheim; Ingerid Reinertsen (CoRR, 2020)

Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. - Yiming Xiao; Andreas Maier 001; Wolfgang Wein; Roozbeh Shams; Samuel Kadoury; David Drobny; Marc Modat; Ingerid Reinertsen; Hassan Rivaz; Matthieu Chabanas; Maryse Fortin; Inês Machado; et al. (IEEE Trans. Medical Imaging, 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)

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. - André Pedersen; Marit Valla; Anna M. Bofin; Javier Pérez de Frutos; Ingerid Reinertsen; Erik Smistad (IEEE Access, 2021)

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. - David Bouget; André Pedersen; Sayied Abdol Mohieb Hosainey; Ole Solheim; Ingerid Reinertsen (CoRR, 2021)

Code-free development and deployment of deep segmentation models for digital pathology. - Henrik Sahlin Pettersen; Ilya Belevich; Elin Synnøve Røyset; Erik Smistad; Eija Jokitalo; Ingerid Reinertsen; Ingunn Bakke; André Pedersen (CoRR, 2021)

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. - André Pedersen; Erik Smistad; Tor V. Rise; Vibeke G. Dale; Henrik Sahlin Pettersen; Tor-Arne S. Nordmo; David Bouget; Ingerid Reinertsen; Marit Valla (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

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)

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)

The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. - David Bouget; André Pedersen; Ole Solheim; Ingerid Reinertsen (BraTS/CrossMoDA@MICCAI, 2023)

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)

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. - Maren Høibø; André Pedersen; Vibeke Grotnes Dale; Sissel Marie Berget; Borgny Ytterhus; Cecilia Lindskog; Elisabeth Wik; Lars A. Akslen; Ingerid Reinertsen; Erik Smistad; Marit Valla (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 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)

Automatic and standardized surgical reporting for central nervous system tumors. - David Bouget; Mathilde Faanes; Asgeir Store Jakola; Frederik Barkhof; Hilko Ardon; Lorenzo Bello; Mitchel S. Berger; Shawn Hervey-Jumper; Julia Furtner; Albert J. S. Idema; Barbara Kiesel; Georg Widhalm; et al. (CoRR, 2025)