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Journal of Medical Imaging (Bellingham, Wash.)
|
October 18, 2021
Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging
Marcel Früh, Marc Fischer, Andreas Schilling, et al.
Magnetic Resonance in Medicine
|
January 29, 2024
Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set
Thomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
September 9, 2015
Apparent diffusion coefficient-dependent voxelwise computed diffusion-weighted imaging: An approach for improving SNR and reducing T2 shine-through effects
Sergios Gatidis, Holger Schmidt, Petros Martirosian, et al.
Computer Methods and Programs in Biomedicine
|
August 31, 2022
Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort
Marcel Frueh, Thomas Kuestner, Marcel Nachbar, et al.
Magnetic Resonance in Medicine
|
May 14, 2019
Retrospective correction of motion-affected MR images using deep learning frameworks
Thomas Küstner, Karim Armanious, Jiahuan Yang, et al.
European Radiology
|
November 16, 2019
Impact of PET/CT on clinical management in patients with cancer of unknown primary-a PET/CT registry study
Christian Philipp Reinert, Julia Sekler, Christian la Fougère, et al.
The British Journal of Radiology
|
January 9, 2019
Value of CT iterative metal artifact reduction in PET/CT-clinical evaluation in 100 patients
Christian Philipp Reinert, Christian la Fougère, Konstantin Nikolaou, et al.
EJNMMI Research
|
February 20, 2020
Paraneoplastic syndrome in undifferentiated embryonic sarcoma of the liver
Regine Mariette Perl, Almut Häring, Marius Stefan Horger, et al.
Radiation Oncology (London, England)
|
September 6, 2023
Impact of MRI on target volume definition in head and neck cancer patients
Kerstin Clasen, Marcel Nachbar, Sergios Gatidis, et al.
European Journal of Radiology
|
December 4, 2014
Is the standard uptake value (SUV) appropriate for quantification in clinical PET imaging? - Variability induced by different SUV measurements and varying reconstruction methods
Cornelia Brendle, Jürgen Kupferschläger, Konstantin Nikolaou, et al.
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Showing results (11-20 of 160) with videos related to
Sort By:
Page
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Journal of Medical Imaging (Bellingham, Wash.)
|
October 18, 2021
Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging
Marcel Früh, Marc Fischer, Andreas Schilling, et al.
Magnetic Resonance in Medicine
|
January 29, 2024
Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set
Thomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
September 9, 2015
Apparent diffusion coefficient-dependent voxelwise computed diffusion-weighted imaging: An approach for improving SNR and reducing T2 shine-through effects
Sergios Gatidis, Holger Schmidt, Petros Martirosian, et al.
Computer Methods and Programs in Biomedicine
|
August 31, 2022
Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort
Marcel Frueh, Thomas Kuestner, Marcel Nachbar, et al.
Magnetic Resonance in Medicine
|
May 14, 2019
Retrospective correction of motion-affected MR images using deep learning frameworks
Thomas Küstner, Karim Armanious, Jiahuan Yang, et al.
European Radiology
|
November 16, 2019
Impact of PET/CT on clinical management in patients with cancer of unknown primary-a PET/CT registry study
Christian Philipp Reinert, Julia Sekler, Christian la Fougère, et al.
The British Journal of Radiology
|
January 9, 2019
Value of CT iterative metal artifact reduction in PET/CT-clinical evaluation in 100 patients
Christian Philipp Reinert, Christian la Fougère, Konstantin Nikolaou, et al.
EJNMMI Research
|
February 20, 2020
Paraneoplastic syndrome in undifferentiated embryonic sarcoma of the liver
Regine Mariette Perl, Almut Häring, Marius Stefan Horger, et al.
Radiation Oncology (London, England)
|
September 6, 2023
Impact of MRI on target volume definition in head and neck cancer patients
Kerstin Clasen, Marcel Nachbar, Sergios Gatidis, et al.
European Journal of Radiology
|
December 4, 2014
Is the standard uptake value (SUV) appropriate for quantification in clinical PET imaging? - Variability induced by different SUV measurements and varying reconstruction methods
Cornelia Brendle, Jürgen Kupferschläger, Konstantin Nikolaou, et al.
Page
of 16