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Felix C Müller

Showing results (1-10 of 20) with videos related to

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Resuscitation|September 24, 2019
Comments on: "Machine learning as a supportive tool to recognize cardiac arrest in emergency calls"Felix C Müller, Mathias W Brejnebøl
Journal of Neuroscience Methods|June 17, 2015
Fast neuronal labeling in live tissue using a biocytin conjugated fluorescent probeMads Harsløf, Felix C Müller, Julie Rohrberg, et al.
The Journal of Physiology|September 18, 2013
Mechanisms contributing to cluster formation in the inferior olivary nucleus in brainstem slices from postnatal miceMathias Kølvraa, Felix C Müller, Henrik Jahnsen, et al.
European Journal of Radiology|September 25, 2025
Detection of adrenal gland lesions on CT: Development and external validation of a deep-learning-based modelChristian H Krag, Weronika Olech, Michael B Andersen, et al.
European Journal of Radiology|March 8, 2022
Artificial Intelligence based detection of pneumoperitoneum on CT scans in patients presenting with acute abdominal pain: A clinical diagnostic test accuracy studyMathias W Brejnebøl, Yousef W Nielsen, Oliver Taubmann, et al.
Academic Radiology|November 21, 2021
Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility StudyFelix C Müller, Henriette Raaschou, Naurien Akhtar, et al.
European Radiology Experimental|December 6, 2019
Optimising dual-energy CT scan parameters for virtual non-calcium imaging of the bone marrow: a phantom studyFelix C Müller, Henrik Børgesen, Kasper Gosvig, et al.
Radiology|July 15, 2020
Dual-Energy CT for Suspected Radiographically Negative Wrist Fractures: A Prospective Diagnostic Test Accuracy StudyFelix C Müller, Kasper K Gosvig, Henrik Børgesen, et al.
Aesthetic Surgery Journal|February 1, 2023
Fat Grafting With Adipose-Derived Stem Cells: Not the Revolution We Had Hoped ForPeter V Vester-Glowinski, Mikkel Herly, Mathias Ørholt, et al.
European Radiology|April 17, 2026
Independent bone-level diagnostic accuracy study of an AI tool for detecting appendicular skeletal fractures on radiographsFrederik Jager Bruun, Felix C Müller, Janus Uhd Nybing, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Resuscitation|September 24, 2019
Comments on: "Machine learning as a supportive tool to recognize cardiac arrest in emergency calls"Felix C Müller, Mathias W Brejnebøl
Journal of Neuroscience Methods|June 17, 2015
Fast neuronal labeling in live tissue using a biocytin conjugated fluorescent probeMads Harsløf, Felix C Müller, Julie Rohrberg, et al.
The Journal of Physiology|September 18, 2013
Mechanisms contributing to cluster formation in the inferior olivary nucleus in brainstem slices from postnatal miceMathias Kølvraa, Felix C Müller, Henrik Jahnsen, et al.
European Journal of Radiology|September 25, 2025
Detection of adrenal gland lesions on CT: Development and external validation of a deep-learning-based modelChristian H Krag, Weronika Olech, Michael B Andersen, et al.
European Journal of Radiology|March 8, 2022
Artificial Intelligence based detection of pneumoperitoneum on CT scans in patients presenting with acute abdominal pain: A clinical diagnostic test accuracy studyMathias W Brejnebøl, Yousef W Nielsen, Oliver Taubmann, et al.
Academic Radiology|November 21, 2021
Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility StudyFelix C Müller, Henriette Raaschou, Naurien Akhtar, et al.
European Radiology Experimental|December 6, 2019
Optimising dual-energy CT scan parameters for virtual non-calcium imaging of the bone marrow: a phantom studyFelix C Müller, Henrik Børgesen, Kasper Gosvig, et al.
Radiology|July 15, 2020
Dual-Energy CT for Suspected Radiographically Negative Wrist Fractures: A Prospective Diagnostic Test Accuracy StudyFelix C Müller, Kasper K Gosvig, Henrik Børgesen, et al.
Aesthetic Surgery Journal|February 1, 2023
Fat Grafting With Adipose-Derived Stem Cells: Not the Revolution We Had Hoped ForPeter V Vester-Glowinski, Mikkel Herly, Mathias Ørholt, et al.
European Radiology|April 17, 2026
Independent bone-level diagnostic accuracy study of an AI tool for detecting appendicular skeletal fractures on radiographsFrederik Jager Bruun, Felix C Müller, Janus Uhd Nybing, et al.
Pageof 2