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Jan Rudolph

Showing results (21-30 of 28) with videos related to

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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.
Physical Review Letters|September 17, 2021
Collective-Mode Enhanced Matter-Wave OpticsChristian Deppner, Waldemar Herr, Merle Cornelius, et al.
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 analysisJan Rudolph, Balthasar Schachtner, Nicola Fink, et al.
Chest|January 31, 2024
Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography InterpretationJan Rudolph, Christian Huemmer, Alexander Preuhs, 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 CoverageJan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
European Radiology|April 16, 2024
Outcome of bleomycin electrosclerotherapy of slow-flow malformations in adults and childrenVanessa F Schmidt, Özlem Cangir, Lutz Meyer, et al.
Bioinformatics (Oxford, England)|June 17, 2015
JSBML 1.0: providing a smorgasbord of options to encode systems biology modelsNicolas Rodriguez, Alex Thomas, Leandro Watanabe, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|December 12, 2024
Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementiaJan Rudolph, Johannes Rueckel, Jörg Döpfert, et al.
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Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
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.
Physical Review Letters|September 17, 2021
Collective-Mode Enhanced Matter-Wave OpticsChristian Deppner, Waldemar Herr, Merle Cornelius, et al.
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 analysisJan Rudolph, Balthasar Schachtner, Nicola Fink, et al.
Chest|January 31, 2024
Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography InterpretationJan Rudolph, Christian Huemmer, Alexander Preuhs, 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 CoverageJan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
European Radiology|April 16, 2024
Outcome of bleomycin electrosclerotherapy of slow-flow malformations in adults and childrenVanessa F Schmidt, Özlem Cangir, Lutz Meyer, et al.
Bioinformatics (Oxford, England)|June 17, 2015
JSBML 1.0: providing a smorgasbord of options to encode systems biology modelsNicolas Rodriguez, Alex Thomas, Leandro Watanabe, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|December 12, 2024
Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementiaJan Rudolph, Johannes Rueckel, Jörg Döpfert, et al.
Pageof 3