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Ingerid Reinertsen

Senior Research Scientist

Ingerid Reinertsen

Senior Research Scientist

Ingerid Reinertsen
Phone: 902 12 159
Department: Health Research
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1694219

Conclusions: The CustusX platform facilitates development of new and specialized applications. The toolkit supports the process and makes important extension and injection points available for customization....

Authors Bakeng Janne Beate Lervik Hofstad Erlend Fagertun Solberg Ole Vegard Eiesland Jon Wostryck Tangen Geir Arne Amundsen Tore Langø Thomas Reinertsen Ingerid Selbekk Tormod Leira Håkon Olav
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1652839

Background Tumor location is important for surgical decision making. Particular attention is paid to regions that contain sensorimotor and language functions, but it is unknown if these are the most important regions from the patients' perspective. Objective To develop an atlas for depicting and ass...

Authors Sagberg Lisa Millgård Iversen Daniel Høyer Fyllingen Even Hovig Jakola Asgeir Store Reinertsen Ingerid Solheim Ole
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1631580

Most brain-shift compensation methods address the problem of updating preoperative images to reflect brain deformations following the craniotomy and dura opening. However, fewer enable to take into account the resection-induced deformations occuring all along the tumor removal procedure. This paper ...

Authors Morin Fanny Courtecuisse Hadrien Reinertsen Ingerid Le Lann Florian Palombi Olivier Payan Yohan Chabanas Matthieu
Year 2018
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1627876

Ultrasound images acquired during axillary nerve block procedures can be difficult to interpret. Highlighting the important structures, such as nerves and blood vessels, may be useful for the training of inexperienced users. A deep convolutional neural network is used to identify the musculocutaneou...

Authors Smistad Erik Johansen Kaj Fredrik Iversen Daniel Høyer Reinertsen Ingerid
Year 2018
Type Journal publication