Ingerid Reinertsen

39 papers Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing Impact of Data Quality in Early Post-Operative Glioblastoma Segmentation. J. Imaging Ragnhild Holden Helland, David Bouget, Asgeir Store Jakola, Sébastien Muller, Ole Solheim, Ingerid Reinertsen
2025	J	`jnl`	A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points. CoRR Mathilde Faanes, David Bouget, Asgeir S. Jakola, Timothy R. Smith, Vasileios Kavouridis, Francesco Latini, Margret Jensdottir, Peter Milos, Henrietta Nittby Redebrandt, Rickard L. Sjöberg, Rupavathana Mahesparan, Lars Kjelsberg Pedersen, Ole Solheim, Ingerid Reinertsen
2025	J	`jnl`	Automatic Brain Tumor Segmentation in 2D Intra-Operative Ultrasound Images Using Magnetic Resonance Imaging Tumor Annotations. J. Imaging Mathilde Faanes, Ragnhild Holden Helland, Ole Solheim, Sébastien Muller, Ingerid Reinertsen
2025	J	`jnl`	Automatic and standardized surgical reporting for central nervous system tumors. CoRR 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, Rishi Nandoe Tewarie, Emmanuel Mandonnet, Pierre A. Robe, Michiel Wagemakers, Timothy R. Smith, Philip C. de Witt Hamer, Ole Solheim, Ingerid Reinertsen
2024	J	`jnl`	Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations. CoRR Mathilde Faanes, Ragnhild Holden Helland, Ole Solheim, Ingerid Reinertsen
2024	—	`conf`	Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact. MICCAI (6) Ragnhild Holden Helland, David Bouget, Roelant S. Eijgelaar, Philip C. de Witt Hamer, Frederik Barkhof, Ole Solheim, Ingerid Reinertsen
2023	J	`jnl`	Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. CoRR 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
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	J	`jnl`	Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting. CoRR David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen
2023	J	`jnl`	Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. CoRR 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, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewarie, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. de Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget
2023	—	`conf`	The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023. BraTS/CrossMoDA@MICCAI David Bouget, André Pedersen, Ole Solheim, Ingerid Reinertsen
2022	J	`jnl`	Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. CoRR 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, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Tommaso Sciortino, Wimar Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Philip C. de Witt Hamer, Ole Solheim, Ingerid Reinertsen
2022	J	`jnl`	RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. CoRR Bahareh Behboodi, François-Xavier Carton, Matthieu Chabanas, Sandrine de Ribaupierre, Ole Solheim, Bodil K. R. Munkvold, Hassan Rivaz, Yiming Xiao, Ingerid Reinertsen
2021	J	`jnl`	Code-free development and deployment of deep segmentation models for digital pathology. CoRR Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen
2021	J	`jnl`	FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. IEEE Access André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2021	J	`jnl`	Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021	J	`jnl`	Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen
2021	—	`conf`	Multiclass segmentation of brain intraoperative ultrasound images with limited data. Image-Guided Procedures François-Xavier Carton, Jack H. Noble, Florian Le Lann, Bodil K. R. Munkvold, Ingerid Reinertsen, Matthieu Chabanas
2020	—	`conf`	Automatic segmentation of brain tumor in intraoperative ultrasound images using 3D U-Net. Image-Guided Procedures François-Xavier Carton, Matthieu Chabanas, Bodil K. R. Munkvold, Ingerid Reinertsen, Jack H. Noble
2020	J	`jnl`	Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong
2020	J	`jnl`	Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture. CoRR David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen
2020	J	`jnl`	FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. CoRR André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2019	—	`ed.`	Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings LABELS/HAL-MICCAI/CuRIOUS@MICCAI Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen
2018	J	`jnl`	Automatic intraoperative estimation of blood flow direction during neurosurgical interventions. Int. J. Comput. Assist. Radiol. Surg. Daniel Høyer Iversen, Lasse Løvstakken, Geirmund Unsgård, Ingerid Reinertsen
2018	J	`jnl`	Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz
2018	J	`jnl`	Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz
2018	—	`conf`	Resection-induced brain-shift compensation using vessel-based methods. Image-Guided Procedures Fanny Morin, Hadrien Courtecuisse, Ingerid Reinertsen, Florian Le Lann, Olivier Palombi, Yohan Payan, Matthieu Chabanas
2018	—	`ed.`	Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani
2017	J	`jnl`	Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation. Medical Image Anal. Fanny Morin, Hadrien Courtecuisse, Ingerid Reinertsen, Florian Le Lann, Olivier Palombi, Yohan Payan, Matthieu Chabanas
2016	J	`jnl`	CustusX: an open-source research platform for image-guided therapy. Int. J. Comput. Assist. Radiol. Surg. 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, Geirmund Unsgård, Frank Lindseth
2014	J	`jnl`	Validation of model-guided placement of external ventricular drains. Int. J. Comput. Assist. Radiol. Surg. Ingerid Reinertsen, Asgeir S. Jakola, Tormod Selbekk, Ole Solheim
2013	—	`conf`	Model-Guided Placement of Cerebral Ventricular Catheters. IPCAI Ingerid Reinertsen, Asgeir S. Jakola, Ole Solheim, Frank Lindseth, Geirmund Unsgård
2013	—	`conf`	Placement of External Ventricular Drains Using an Average Model. CLIP Ingerid Reinertsen, Asgeir S. Jakola, Ole Solheim, Frank Lindseth, Tormod Selbekk, G. Unsgaard
2012	J	`jnl`	A new system for 3D ultrasound-guided placement of cerebral ventricle catheters. Int. J. Comput. Assist. Radiol. Surg. Ingerid Reinertsen, Asgeir S. Jakola, P. Friderichsen, Frank Lindseth, Ole Solheim, Tormod Selbekk, Geirmund Unsgård
2012	J	`jnl`	Validation of a hybrid Doppler ultrasound vessel-based registration algorithm for neurosurgery. Int. J. Comput. Assist. Radiol. Surg. Sean Jy-Shyang Chen, Ingerid Reinertsen, Pierrick Coupé, Charles X. B. Yan, Laurence Mercier, Rolando Del Maestro, D. Louis Collins
2007	J	`jnl`	Clinical validation of vessel-based registration for correction of brain-shift. Medical Image Anal. Ingerid Reinertsen, Frank Lindseth, Geirmund Unsgård, D. Louis Collins
2007	J	`jnl`	Validation of vessel-based registration for correction of brain shift. Medical Image Anal. Ingerid Reinertsen, Maxime Descoteaux, Kaleem Siddiqi, D. Louis Collins
2004	—	`conf`	Vessel Driven Correction of Brain Shift. MICCAI (2) Ingerid Reinertsen, Maxime Descoteaux, Simon Drouin, Kaleem Siddiqi, D. Louis Collins