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Hanne Sorger

Showing results (1-10 of 18) with videos related to

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Journal of the Mechanical Behavior of Biomedical Materials|January 11, 2024
Macro-indentation testing of soft biological materials and assessment of hyper-elastic material models from inverse finite element analysisVenkat Ayyalasomayajula, Øyvind Ervik, Hanne Sorger, et al.
The European Respiratory Journal|January 18, 2014
COPD and microalbuminuria: a 12-year follow-up studySolfrid Romundstad, Thor Naustdal, Pål Richard Romundstad, et al.
International Journal of Computer Assisted Radiology and Surgery|November 30, 2015
A novel platform for electromagnetic navigated ultrasound bronchoscopy (EBUS)Hanne Sorger, Erlend Fagertun Hofstad, Tore Amundsen, et al.
Journal of Bronchology & Interventional Pulmonology|July 17, 2013
Bronchoscope-induced displacement of lung targets: first in vivo demonstration of effect from wedging maneuver in navigated bronchoscopyHåkon O Leira, Thomas Langø, Hanne Sorger, et al.
Medical Physics|April 4, 2014
Automatic registration of CT images to patient during the initial phase of bronchoscopy: a clinical pilot studyErlend Fagertun Hofstad, Hanne Sorger, Håkon Olav Leira, et al.
Plos One|March 19, 2025
The association between obstructive sleep apnea severity and sleep architecture measured with non-contact radar technology in primary investigation and follow-up on therapy: A pilot studyVigdis Fossland, Ståle Toften, Ingrid Kathrin Hals, et al.
Plos One|February 10, 2017
A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): A human feasibility studyHanne Sorger, Erlend Fagertun Hofstad, Tore Amundsen, et al.
Journal of Imaging|August 28, 2024
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep LearningØyvind Ervik, Ingrid Tveten, Erlend Fagertun Hofstad, et al.
Bioengineering (Basel, Switzerland)|February 27, 2026
Explainability of a Deep Learning Model for Mediastinal Lymph Node Station Classification in Endobronchial Ultrasound (EBUS)Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, et al.
Plos One|August 30, 2024
Navigated ultrasound bronchoscopy with integrated positron emission tomography-A human feasibility studyArne Kildahl-Andersen, Erlend Fagertun Hofstad, Ole-Vegard Solberg, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of the Mechanical Behavior of Biomedical Materials|January 11, 2024
Macro-indentation testing of soft biological materials and assessment of hyper-elastic material models from inverse finite element analysisVenkat Ayyalasomayajula, Øyvind Ervik, Hanne Sorger, et al.
The European Respiratory Journal|January 18, 2014
COPD and microalbuminuria: a 12-year follow-up studySolfrid Romundstad, Thor Naustdal, Pål Richard Romundstad, et al.
International Journal of Computer Assisted Radiology and Surgery|November 30, 2015
A novel platform for electromagnetic navigated ultrasound bronchoscopy (EBUS)Hanne Sorger, Erlend Fagertun Hofstad, Tore Amundsen, et al.
Journal of Bronchology & Interventional Pulmonology|July 17, 2013
Bronchoscope-induced displacement of lung targets: first in vivo demonstration of effect from wedging maneuver in navigated bronchoscopyHåkon O Leira, Thomas Langø, Hanne Sorger, et al.
Medical Physics|April 4, 2014
Automatic registration of CT images to patient during the initial phase of bronchoscopy: a clinical pilot studyErlend Fagertun Hofstad, Hanne Sorger, Håkon Olav Leira, et al.
Plos One|March 19, 2025
The association between obstructive sleep apnea severity and sleep architecture measured with non-contact radar technology in primary investigation and follow-up on therapy: A pilot studyVigdis Fossland, Ståle Toften, Ingrid Kathrin Hals, et al.
Plos One|February 10, 2017
A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): A human feasibility studyHanne Sorger, Erlend Fagertun Hofstad, Tore Amundsen, et al.
Journal of Imaging|August 28, 2024
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep LearningØyvind Ervik, Ingrid Tveten, Erlend Fagertun Hofstad, et al.
Bioengineering (Basel, Switzerland)|February 27, 2026
Explainability of a Deep Learning Model for Mediastinal Lymph Node Station Classification in Endobronchial Ultrasound (EBUS)Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, et al.
Plos One|August 30, 2024
Navigated ultrasound bronchoscopy with integrated positron emission tomography-A human feasibility studyArne Kildahl-Andersen, Erlend Fagertun Hofstad, Ole-Vegard Solberg, et al.
Pageof 2