Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Erschienen in
-
Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms ; volume:3 ; number:1 ; year:2017 ; pages:1-9 ; Article ID 1703011
International journal on magnetic particle imaging ; 3, Heft 1 (2017), 1-9, Article ID 1703011
- Klassifikation
-
Allgemeines, Wissenschaft
- DOI
-
10.18416/ijmpi.2017.1703011
- URN
-
urn:nbn:de:101:1-2017060713815
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Ähnliche Objekte (12)
Finite element simulation of buoyancy-driven turbulent flows
An Empirical Wall Law for the Mean Velocity in an Adverse Pressure Gradient for RANS Turbulence Modelling
Computer assisted planning for robotic radiosurgery
Validation of the turbulence models in the DLR TAU code for transonic flows : a best practice guide
Effiziente Rekonstruktion und alternative Spulentopologien für magnetic-particle-imaging
In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
Efficient neural architecture search on low-dimensional data for OCT image segmentation
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
Generalization of spatio-temporal deep learning for vision-based force estimation
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
Robotic systems in radiotherapy and radiosurgery
Finite element simulation of buoyancy-driven turbulent flows
An Empirical Wall Law for the Mean Velocity in an Adverse Pressure Gradient for RANS Turbulence Modelling
Computer assisted planning for robotic radiosurgery
Validation of the turbulence models in the DLR TAU code for transonic flows : a best practice guide
Effiziente Rekonstruktion und alternative Spulentopologien für magnetic-particle-imaging
In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
Efficient neural architecture search on low-dimensional data for OCT image segmentation
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
Generalization of spatio-temporal deep learning for vision-based force estimation
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
Robotic systems in radiotherapy and radiosurgery
Finite element simulation of buoyancy-driven turbulent flows
An Empirical Wall Law for the Mean Velocity in an Adverse Pressure Gradient for RANS Turbulence Modelling
Computer assisted planning for robotic radiosurgery
Validation of the turbulence models in the DLR TAU code for transonic flows : a best practice guide
Effiziente Rekonstruktion und alternative Spulentopologien für magnetic-particle-imaging
In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
Efficient neural architecture search on low-dimensional data for OCT image segmentation
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
Generalization of spatio-temporal deep learning for vision-based force estimation
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation