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

Andreas Mittermeier

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Physics in Medicine and Biology|August 13, 2019
Bayesian pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging: validation and applicationAndreas Mittermeier, Birgit Ertl-Wagner, Jens Ricke, et al.
Cancer Reports (Hoboken, N.J.)|August 10, 2020
Evaluation of the clinical utility of maximum intensity projections of 3D contrast-enhanced, T1-weighted imaging for the detection of brain metastasesNicolin Hainc, Christian Federau, Anthony Tyndall, et al.
Radiologie (Heidelberg, Germany)|August 9, 2024
[Automatic ICD-10 coding : Natural language processing for German MRI reports]Andreas Mittermeier, Matthias Aßenmacher, Balthasar Schachtner, et al.
Investigative Radiology|July 28, 2023
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRCAnna Theresa Stüber, Stefan Coors, Balthasar Schachtner, et al.
European Radiology|October 4, 2023
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsKatharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
Journal of Clinical Medicine|August 27, 2021
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver CancerMatthias Philipp Fabritius, Max Seidensticker, Johannes Rueckel, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CTAndreas Mittermeier, Paul Reidler, Matthias P Fabritius, et al.
International Journal of Legal Medicine|February 2, 2023
Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessmentPhilipp Wesp, Bastian Oliver Sabel, Andreas Mittermeier, et al.
Plos One|November 17, 2025
Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRIJohanna Topalis, Jakob Dexl, Katharina Jeblick, et al.
Frontiers in Endocrinology|September 11, 2023
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronismNabeel Mansour, Andreas Mittermeier, Roman Walter, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Physics in Medicine and Biology|August 13, 2019
Bayesian pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging: validation and applicationAndreas Mittermeier, Birgit Ertl-Wagner, Jens Ricke, et al.
Cancer Reports (Hoboken, N.J.)|August 10, 2020
Evaluation of the clinical utility of maximum intensity projections of 3D contrast-enhanced, T1-weighted imaging for the detection of brain metastasesNicolin Hainc, Christian Federau, Anthony Tyndall, et al.
Radiologie (Heidelberg, Germany)|August 9, 2024
[Automatic ICD-10 coding : Natural language processing for German MRI reports]Andreas Mittermeier, Matthias Aßenmacher, Balthasar Schachtner, et al.
Investigative Radiology|July 28, 2023
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRCAnna Theresa Stüber, Stefan Coors, Balthasar Schachtner, et al.
European Radiology|October 4, 2023
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsKatharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
Journal of Clinical Medicine|August 27, 2021
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver CancerMatthias Philipp Fabritius, Max Seidensticker, Johannes Rueckel, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CTAndreas Mittermeier, Paul Reidler, Matthias P Fabritius, et al.
International Journal of Legal Medicine|February 2, 2023
Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessmentPhilipp Wesp, Bastian Oliver Sabel, Andreas Mittermeier, et al.
Plos One|November 17, 2025
Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRIJohanna Topalis, Jakob Dexl, Katharina Jeblick, et al.
Frontiers in Endocrinology|September 11, 2023
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronismNabeel Mansour, Andreas Mittermeier, Roman Walter, et al.
Pageof 2