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Emma Helm

Showing results (1-10 of 9) with videos related to

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Magnetic Resonance in Medicine|June 27, 2008
Visualizing water clearance in the lung with MRILogi Vidarsson, Emma Helm, Hugh O'Brodovich, et al.
International Journal of Computer Assisted Radiology and Surgery|December 29, 2016
Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based methodMitchell Chen, Emma Helm, Niranjan Joshi, et al.
European Radiology|July 25, 2008
Use of dynamic CT in acute respiratory distress syndrome (ARDS) with comparison of positive and negative pressure ventilationEmma Helm, Omid Talakoub, Francesco Grasso, et al.
Thorax|October 5, 2016
CTAS: a CT score to quantify disease activity in pulmonary sarcoidosisRachel Benamore, Yvonne R Kendrick, Emmanouela Repapi, et al.
BJR Artificial Intelligence|May 1, 2026
Translating potential improvement in the precision and accuracy of lung nodule measurements on computed tomography scans by software derived from artificial intelligence into impact on clinical practice-a simulation studyMubarak Patel, Peter Auguste, Jason Madan, et al.
American Journal of Respiratory and Critical Care Medicine|December 15, 2007
Negative-pressure ventilation: better oxygenation and less lung injuryFrancesco Grasso, Doreen Engelberts, Emma Helm, et al.
BJR Artificial Intelligence|May 1, 2026
Cost-effectiveness of radiologist reading of chest CT scans assisted by software with artificial intelligence-derived algorithms for the detection and analysis of lung nodulesPeter Auguste, Hesam Ghiasvand, Julia Geppert, et al.
Investigative Radiology|February 28, 2008
Assessment of thoracic aortic dimensions in an experimental setting: comparison of different unenhanced magnetic resonance angiography techniques with electrocardiogram-gated computed tomography angiography for possible application in the pediatric populationJulia Ley-Zaporozhan, Karl-Friedrich Kreitner, Roland Unterhinninghofen, et al.
Health Technology Assessment (Winchester, England)|May 17, 2025
Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluationJulia Geppert, Peter Auguste, Asra Asgharzadeh, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Magnetic Resonance in Medicine|June 27, 2008
Visualizing water clearance in the lung with MRILogi Vidarsson, Emma Helm, Hugh O'Brodovich, et al.
International Journal of Computer Assisted Radiology and Surgery|December 29, 2016
Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based methodMitchell Chen, Emma Helm, Niranjan Joshi, et al.
European Radiology|July 25, 2008
Use of dynamic CT in acute respiratory distress syndrome (ARDS) with comparison of positive and negative pressure ventilationEmma Helm, Omid Talakoub, Francesco Grasso, et al.
Thorax|October 5, 2016
CTAS: a CT score to quantify disease activity in pulmonary sarcoidosisRachel Benamore, Yvonne R Kendrick, Emmanouela Repapi, et al.
BJR Artificial Intelligence|May 1, 2026
Translating potential improvement in the precision and accuracy of lung nodule measurements on computed tomography scans by software derived from artificial intelligence into impact on clinical practice-a simulation studyMubarak Patel, Peter Auguste, Jason Madan, et al.
American Journal of Respiratory and Critical Care Medicine|December 15, 2007
Negative-pressure ventilation: better oxygenation and less lung injuryFrancesco Grasso, Doreen Engelberts, Emma Helm, et al.
BJR Artificial Intelligence|May 1, 2026
Cost-effectiveness of radiologist reading of chest CT scans assisted by software with artificial intelligence-derived algorithms for the detection and analysis of lung nodulesPeter Auguste, Hesam Ghiasvand, Julia Geppert, et al.
Investigative Radiology|February 28, 2008
Assessment of thoracic aortic dimensions in an experimental setting: comparison of different unenhanced magnetic resonance angiography techniques with electrocardiogram-gated computed tomography angiography for possible application in the pediatric populationJulia Ley-Zaporozhan, Karl-Friedrich Kreitner, Roland Unterhinninghofen, et al.
Health Technology Assessment (Winchester, England)|May 17, 2025
Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluationJulia Geppert, Peter Auguste, Asra Asgharzadeh, et al.
Pageof 1