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Scientific Reports
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July 27, 2022
Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis
Jan Rudolph, Balthasar Schachtner, Nicola Fink, et al.
Frontiers in Endocrinology
|
September 11, 2023
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism
Nabeel Mansour, Andreas Mittermeier, Roman Walter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 23, 2025
Artificial intelligence for TNM staging in NSCLC: a critical appraisal of segmentation utility in [<sup>1</sup>⁸F]FDG PET/CT
Maurice M Heimer, Jakob Dexl, Johanna Ta, et al.
Neurology
|
May 23, 2022
Prevalence and Significance of the Vessel-Cluster Sign on Susceptibility-Weighted Imaging in Patients With Severe Small Vessel Disease
Salvatore Rudilosso, Ernest Chui, Michael S Stringer, et al.
Investigative Radiology
|
August 5, 2021
Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage
Jan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|
June 8, 2023
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors
Sebastian Mönch, Maurice M Heimer, Michael Winkelmann, et al.
Magnetic Resonance in Medicine
|
May 18, 2021
Sources of systematic error in DCE-MRI estimation of low-level blood-brain barrier leakage
Cameron Manning, Michael Stringer, Ben Dickie, et al.
Cerebral Circulation - Cognition and Behavior
|
November 3, 2022
Imaging neurovascular, endothelial and structural integrity in preparation to treat small vessel diseases. The INVESTIGATE-SVDs study protocol. Part of the SVDs@Target project
Gordon W Blair, Michael S Stringer, Michael J Thrippleton, et al.
Insights Into Imaging
|
October 28, 2024
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study
Maurice M Heimer, Yevgeniy Dikhtyar, Boj F Hoppe, et al.
Stroke
|
December 9, 2024
Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI
Paulien H M Voorter, Michael S Stringer, Maud van Dinther, et al.
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Search research articles
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Showing results (101-110 of 119) with videos related to
Sort By:
Page
of 12
Scientific Reports
|
July 27, 2022
Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis
Jan Rudolph, Balthasar Schachtner, Nicola Fink, et al.
Frontiers in Endocrinology
|
September 11, 2023
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism
Nabeel Mansour, Andreas Mittermeier, Roman Walter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 23, 2025
Artificial intelligence for TNM staging in NSCLC: a critical appraisal of segmentation utility in [<sup>1</sup>⁸F]FDG PET/CT
Maurice M Heimer, Jakob Dexl, Johanna Ta, et al.
Neurology
|
May 23, 2022
Prevalence and Significance of the Vessel-Cluster Sign on Susceptibility-Weighted Imaging in Patients With Severe Small Vessel Disease
Salvatore Rudilosso, Ernest Chui, Michael S Stringer, et al.
Investigative Radiology
|
August 5, 2021
Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage
Jan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|
June 8, 2023
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors
Sebastian Mönch, Maurice M Heimer, Michael Winkelmann, et al.
Magnetic Resonance in Medicine
|
May 18, 2021
Sources of systematic error in DCE-MRI estimation of low-level blood-brain barrier leakage
Cameron Manning, Michael Stringer, Ben Dickie, et al.
Cerebral Circulation - Cognition and Behavior
|
November 3, 2022
Imaging neurovascular, endothelial and structural integrity in preparation to treat small vessel diseases. The INVESTIGATE-SVDs study protocol. Part of the SVDs@Target project
Gordon W Blair, Michael S Stringer, Michael J Thrippleton, et al.
Insights Into Imaging
|
October 28, 2024
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study
Maurice M Heimer, Yevgeniy Dikhtyar, Boj F Hoppe, et al.
Stroke
|
December 9, 2024
Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI
Paulien H M Voorter, Michael S Stringer, Maud van Dinther, et al.
Page
of 12