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Jonathan I Sperl

Showing results (11-20 of 27) with videos related to

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Magnetic Resonance in Medicine|March 25, 2018
A diffusion model-free framework with echo time dependence for free-water elimination and brain tissue microstructure characterizationMiguel Molina-Romero, Pedro A Gómez, Jonathan I Sperl, et al.
AJR. American Journal of Roentgenology|March 5, 2020
Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function TestingAndreas M Fischer, Akos Varga-Szemes, Marly van Assen, et al.
European Journal of Radiology|March 8, 2017
Fourier domain image fusion for differential X-ray phase-contrast breast imagingEduardo Coello, Jonathan I Sperl, Dirk Bequé, et al.
Quantitative Imaging in Medicine and Surgery|October 4, 2021
Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learningMaurice Pradella, Thomas Weikert, Jonathan I Sperl, et al.
Journal of Thoracic Imaging|February 22, 2020
Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed TomographyRock H Savage, Marly van Assen, Simon S Martin, et al.
Biomedical Optics Express|March 16, 2016
Low-dose, phase-contrast mammography with high signal-to-noise ratioLukas B Gromann, Dirk Bequé, Kai Scherer, et al.
European Radiology Experimental|May 2, 2025
Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CTNicola Fink, Jonathan I Sperl, Johannes Rueckel, et al.
Frontiers in Cardiovascular Medicine|September 8, 2022
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohortMaurice Pradella, Rita Achermann, Jonathan I Sperl, et al.
Radiology Research and Practice|December 31, 2014
Multisite Kinetic Modeling of (13)C Metabolic MR Using [1-(13)C]PyruvatePedro A Gómez Damián, Jonathan I Sperl, Martin A Janich, et al.
Diagnostics (Basel, Switzerland)|January 8, 2025
Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MRRamona Schmitt, Christopher L Schlett, Jonathan I Sperl, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Magnetic Resonance in Medicine|March 25, 2018
A diffusion model-free framework with echo time dependence for free-water elimination and brain tissue microstructure characterizationMiguel Molina-Romero, Pedro A Gómez, Jonathan I Sperl, et al.
AJR. American Journal of Roentgenology|March 5, 2020
Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function TestingAndreas M Fischer, Akos Varga-Szemes, Marly van Assen, et al.
European Journal of Radiology|March 8, 2017
Fourier domain image fusion for differential X-ray phase-contrast breast imagingEduardo Coello, Jonathan I Sperl, Dirk Bequé, et al.
Quantitative Imaging in Medicine and Surgery|October 4, 2021
Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learningMaurice Pradella, Thomas Weikert, Jonathan I Sperl, et al.
Journal of Thoracic Imaging|February 22, 2020
Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed TomographyRock H Savage, Marly van Assen, Simon S Martin, et al.
Biomedical Optics Express|March 16, 2016
Low-dose, phase-contrast mammography with high signal-to-noise ratioLukas B Gromann, Dirk Bequé, Kai Scherer, et al.
European Radiology Experimental|May 2, 2025
Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CTNicola Fink, Jonathan I Sperl, Johannes Rueckel, et al.
Frontiers in Cardiovascular Medicine|September 8, 2022
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohortMaurice Pradella, Rita Achermann, Jonathan I Sperl, et al.
Radiology Research and Practice|December 31, 2014
Multisite Kinetic Modeling of (13)C Metabolic MR Using [1-(13)C]PyruvatePedro A Gómez Damián, Jonathan I Sperl, Martin A Janich, et al.
Diagnostics (Basel, Switzerland)|January 8, 2025
Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MRRamona Schmitt, Christopher L Schlett, Jonathan I Sperl, et al.
Pageof 3