Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Felix Nensa

Showing results (111-120 of 199) with videos related to

Pageof 20
Sort By:
Plos One|September 25, 2020
Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systemsObioma Pelka, Christoph M Friedrich, Felix Nensa, et al.
Blood|October 27, 2023
Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand managementMerlin Engelke, Cynthia Sabrina Schmidt, Giulia Baldini, et al.
European Radiology Experimental|May 15, 2023
Individualized scan protocols for CT angiography: an animal study for contrast media or radiation dose optimizationJohannes Haubold, Sebastian Zensen, René Hosch, et al.
Investigative Radiology|April 19, 2022
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal StudyJohannes Haubold, Gregor Jost, Jens Matthias Theysohn, et al.
Investigative Radiology|February 2, 2023
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal StudyJohannes Haubold, Gregor Jost, Jens Matthias Theysohn, et al.
Journal of Medical Imaging and Radiation Oncology|July 25, 2020
Is there a connection between immunohistochemical markers and grading of lung cancer with apparent diffusion coefficient (ADC) and standardised uptake values (SUV) of hybrid 18F-FDG-PET/MRI?Ole Martin, Nils-Martin Bruckmann, Julian Kirchner, et al.
Lung Cancer (Amsterdam, Netherlands)|December 7, 2019
Clinical response to crizotinib and emergence of resistance in lung adenocarcinoma harboring a MET c-Cbl binding site mutationMarcel Wiesweg, Thomas Herold, Martin Metzenmacher, et al.
Insights Into Imaging|April 7, 2026
Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approachNikolas Beck, Giulia Baldini, Luca Salhöfer, et al.
Scientific Reports|March 17, 2023
AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CTJohannes Haubold, Ke Zeng, Sepehr Farhand, et al.
Journal of Neurointerventional Surgery|September 26, 2024
Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patientsHanna Styczen, Volker Maus, Daniel Weiss, et al.
Pageof 20

Showing results (111-120 of 199) with videos related to

Sort By:
Pageof 20
Plos One|September 25, 2020
Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systemsObioma Pelka, Christoph M Friedrich, Felix Nensa, et al.
Blood|October 27, 2023
Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand managementMerlin Engelke, Cynthia Sabrina Schmidt, Giulia Baldini, et al.
European Radiology Experimental|May 15, 2023
Individualized scan protocols for CT angiography: an animal study for contrast media or radiation dose optimizationJohannes Haubold, Sebastian Zensen, René Hosch, et al.
Investigative Radiology|April 19, 2022
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal StudyJohannes Haubold, Gregor Jost, Jens Matthias Theysohn, et al.
Investigative Radiology|February 2, 2023
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal StudyJohannes Haubold, Gregor Jost, Jens Matthias Theysohn, et al.
Journal of Medical Imaging and Radiation Oncology|July 25, 2020
Is there a connection between immunohistochemical markers and grading of lung cancer with apparent diffusion coefficient (ADC) and standardised uptake values (SUV) of hybrid 18F-FDG-PET/MRI?Ole Martin, Nils-Martin Bruckmann, Julian Kirchner, et al.
Lung Cancer (Amsterdam, Netherlands)|December 7, 2019
Clinical response to crizotinib and emergence of resistance in lung adenocarcinoma harboring a MET c-Cbl binding site mutationMarcel Wiesweg, Thomas Herold, Martin Metzenmacher, et al.
Insights Into Imaging|April 7, 2026
Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approachNikolas Beck, Giulia Baldini, Luca Salhöfer, et al.
Scientific Reports|March 17, 2023
AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CTJohannes Haubold, Ke Zeng, Sepehr Farhand, et al.
Journal of Neurointerventional Surgery|September 26, 2024
Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patientsHanna Styczen, Volker Maus, Daniel Weiss, et al.
Pageof 20