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Michael Ingrisch

Showing results (1-10 of 119) with videos related to

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The Lancet. Digital Health|March 5, 2026
The architectural gap in clinical artificial intelligenceMichael Ingrisch
Journal of Pharmacokinetics and Pharmacodynamics|April 9, 2013
Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primerMichael Ingrisch, Steven Sourbron
Radiology. Artificial Intelligence|January 15, 2025
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionTobias Weber, Jakob Dexl, David Rügamer, et al.
Breast Care (Basel, Switzerland)|July 19, 2019
Digital Analysis in Breast ImagingGiovanna Negrão de Figueiredo, Michael Ingrisch, Eva Maria Fallenberg
Physics in Medicine and Biology|May 19, 2012
The Akaike information criterion in DCE-MRI: does it improve the haemodynamic parameter estimates?Robert Luypaert, Michael Ingrisch, Steven Sourbron, et al.
Magnetic Resonance in Medicine|May 19, 2009
Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRISteven Sourbron, Michael Ingrisch, Axel Siefert, et al.
Journal of Imaging|December 22, 2023
WindowNet: Learnable Windows for Chest X-ray ClassificationAlessandro Wollek, Sardi Hyska, Bastian Sabel, et al.
Medical Physics|October 13, 2023
Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classificationAlessandro Wollek, Theresa Willem, Michael Ingrisch, et al.
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.
Medical Physics|February 25, 2017
Technical Note: Quantitative dynamic contrast-enhanced MRI of a 3-dimensional artificial capillary networkThomas Gaass, Moritz Jörg Schneider, Olaf Dietrich, et al.
Pageof 12

Showing results (1-10 of 119) with videos related to

Sort By:
Pageof 12
The Lancet. Digital Health|March 5, 2026
The architectural gap in clinical artificial intelligenceMichael Ingrisch
Journal of Pharmacokinetics and Pharmacodynamics|April 9, 2013
Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primerMichael Ingrisch, Steven Sourbron
Radiology. Artificial Intelligence|January 15, 2025
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionTobias Weber, Jakob Dexl, David Rügamer, et al.
Breast Care (Basel, Switzerland)|July 19, 2019
Digital Analysis in Breast ImagingGiovanna Negrão de Figueiredo, Michael Ingrisch, Eva Maria Fallenberg
Physics in Medicine and Biology|May 19, 2012
The Akaike information criterion in DCE-MRI: does it improve the haemodynamic parameter estimates?Robert Luypaert, Michael Ingrisch, Steven Sourbron, et al.
Magnetic Resonance in Medicine|May 19, 2009
Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRISteven Sourbron, Michael Ingrisch, Axel Siefert, et al.
Journal of Imaging|December 22, 2023
WindowNet: Learnable Windows for Chest X-ray ClassificationAlessandro Wollek, Sardi Hyska, Bastian Sabel, et al.
Medical Physics|October 13, 2023
Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classificationAlessandro Wollek, Theresa Willem, Michael Ingrisch, et al.
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.
Medical Physics|February 25, 2017
Technical Note: Quantitative dynamic contrast-enhanced MRI of a 3-dimensional artificial capillary networkThomas Gaass, Moritz Jörg Schneider, Olaf Dietrich, et al.
Pageof 12