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Thomas Küstner

Showing results (1-10 of 68) with videos related to

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Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|April 27, 2026
Thomas Küstner
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|February 25, 2022
Multiparametric Oncologic Hybrid Imaging: Machine Learning Challenges and OpportunitiesThomas Küstner, Tobias Hepp, Ferdinand Seith
Nuklearmedizin. Nuclear Medicine|October 6, 2023
Multiparametric Oncologic Hybrid Imaging: Machine Learning Challenges and OpportunitiesThomas Küstner, Tobias Hepp, Ferdinand Seith
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 15, 2016
4-Dimensional MRI and Attenuation Map Generation in PET/MRI with 4-Dimensional PET-Derived Deformation Matrices: Study of Feasibility for Lung Cancer ApplicationsHadi Fayad, Holger Schmidt, Thomas Küstner, et al.
Plos One|November 7, 2023
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult populationBjarne Kerber, Tobias Hepp, Thomas Küstner, et al.
Npj Aging|April 3, 2026
Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomesVeronika Ecker, Bin Yang, Sergios Gatidis, et al.
Zeitschrift Fur Medizinische Physik|March 24, 2024
Artificial intelligence in medical physicsSteffen Bollmann, Thomas Küstner, Qian Tao, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|March 10, 2022
Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning ApproachesCecilia Zhang, Martin Schwartz, Thomas Küstner, 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 setThomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
Frontiers in Cardiovascular Medicine|May 16, 2022
End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRIJunwei Yang, Thomas Küstner, Peng Hu, et al.
Pageof 7

Showing results (1-10 of 68) with videos related to

Sort By:
Pageof 7
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|April 27, 2026
Thomas Küstner
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|February 25, 2022
Multiparametric Oncologic Hybrid Imaging: Machine Learning Challenges and OpportunitiesThomas Küstner, Tobias Hepp, Ferdinand Seith
Nuklearmedizin. Nuclear Medicine|October 6, 2023
Multiparametric Oncologic Hybrid Imaging: Machine Learning Challenges and OpportunitiesThomas Küstner, Tobias Hepp, Ferdinand Seith
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 15, 2016
4-Dimensional MRI and Attenuation Map Generation in PET/MRI with 4-Dimensional PET-Derived Deformation Matrices: Study of Feasibility for Lung Cancer ApplicationsHadi Fayad, Holger Schmidt, Thomas Küstner, et al.
Plos One|November 7, 2023
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult populationBjarne Kerber, Tobias Hepp, Thomas Küstner, et al.
Npj Aging|April 3, 2026
Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomesVeronika Ecker, Bin Yang, Sergios Gatidis, et al.
Zeitschrift Fur Medizinische Physik|March 24, 2024
Artificial intelligence in medical physicsSteffen Bollmann, Thomas Küstner, Qian Tao, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|March 10, 2022
Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning ApproachesCecilia Zhang, Martin Schwartz, Thomas Küstner, 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 setThomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
Frontiers in Cardiovascular Medicine|May 16, 2022
End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRIJunwei Yang, Thomas Küstner, Peng Hu, et al.
Pageof 7