Hasil Pencarian - Flemming Littrup Andersen

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  1. 1
    The effect of reduced scan time on response assessment FDG-PET/CT imaging using Deauville score in patients with lymphoma

    The effect of reduced scan time on response assessment FDG-PET/CT imaging using Deauville score in patients with lymphoma oleh Charlotte Hornnes, Annika Loft, Liselotte Højgaard, Flemming Littrup Andersen

    Diterbitkan 2021-01-01
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  2. 2
    Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting

    Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting oleh Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, Ian Law, Liselotte Højgaard, Flemming Littrup Andersen

    Diterbitkan 2019-01-01
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  3. 3
    Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner

    Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner oleh Kirsten Korsholm, Nanna Overbeck, André H. Dias, Annika Loft, Flemming Littrup Andersen, Barbara Malene Fischer

    Diterbitkan 2023-03-01
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  4. 4
    Single-voxel delay map from long-axial field-of-view PET scans

    Single-voxel delay map from long-axial field-of-view PET scans oleh Frederik Bay Nielsen, Frederik Bay Nielsen, Ulrich Lindberg, Heloisa N. Bordallo, Camilla Bardram Johnbeck, Ian Law, Ian Law, Barbara Malene Fischer, Barbara Malene Fischer, Flemming Littrup Andersen, Flemming Littrup Andersen, Thomas Lund Andersen, Thomas Lund Andersen

    Diterbitkan 2024-04-01
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  5. 5
    Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner

    Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner oleh Thomas Lund Andersen, Flemming Littrup Andersen, Bryan Haddock, Sverre Rosenbaum, Henrik Bo Wiberg Larsson, Ian Law, Ulrich Lindberg

    Diterbitkan 2024-07-01
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  6. 6
    A zero-dose synthetic baseline for the personalized analysis of [18F]FDG-PET: Application in Alzheimer’s disease

    A zero-dose synthetic baseline for the personalized analysis of [18F]FDG-PET: Application in Alzheimer’s disease oleh Christian Hinge, Otto Mølby Henriksen, Ulrich Lindberg, Steen Gregers Hasselbalch, Liselotte Højgaard, Ian Law, Flemming Littrup Andersen, Claes Nøhr Ladefoged

    Diterbitkan 2022-11-01
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  7. 7
    DeepDixon synthetic CT for [18F]FET PET/MRI attenuation correction of post-surgery glioma patients with metal implants

    DeepDixon synthetic CT for [18F]FET PET/MRI attenuation correction of post-surgery glioma patients with metal implants oleh Claes Nøhr Ladefoged, Flemming Littrup Andersen, Thomas Lund Andersen, Lasse Anderberg, Christian Engkebølle, Karine Madsen, Liselotte Højgaard, Otto Mølby Henriksen, Ian Law

    Diterbitkan 2023-04-01
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  8. 8
    A deep learning-based whole-body solution for PET/MRI attenuation correction

    A deep learning-based whole-body solution for PET/MRI attenuation correction oleh Sahar Ahangari, Anders Beck Olin, Marianne Kinggård Federspiel, Bjoern Jakoby, Thomas Lund Andersen, Adam Espe Hansen, Barbara Malene Fischer, Flemming Littrup Andersen

    Diterbitkan 2022-08-01
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  9. 9
    Attenuation Correction of Long Axial Field-of-View Positron Emission Tomography Using Synthetic Computed Tomography Derived from the Emission Data: Application to Low-Count Studies and Multiple Tracers

    Attenuation Correction of Long Axial Field-of-View Positron Emission Tomography Using Synthetic Computed Tomography Derived from the Emission Data: Application to Low-Count Studies... oleh Maria Elkjær Montgomery, Flemming Littrup Andersen, Sabrina Honoré d’Este, Nanna Overbeck, Per Karkov Cramon, Ian Law, Barbara Malene Fischer, Claes Nøhr Ladefoged

    Diterbitkan 2023-12-01
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  10. 10
    QUALIPAED—A retrospective quality control study evaluating pediatric long axial field-of-view low-dose FDG-PET/CT

    QUALIPAED—A retrospective quality control study evaluating pediatric long axial field-of-view low-dose FDG-PET/CT oleh Sabrina Honoré d’Este, Flemming Littrup Andersen, Christina Schulze, Eunice Saxtoft, Barbara Malene Fischer, Barbara Malene Fischer, Barbara Malene Fischer, Kim Francis Andersen

    Diterbitkan 2024-06-01
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  11. 11
    Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring

    Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring oleh Peter Jagd Sørensen, Claes Nøhr Ladefoged, Vibeke Andrée Larsen, Flemming Littrup Andersen, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Jonathan Frederik Carlsen, Adam Espe Hansen

    Diterbitkan 2024-09-01
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  12. 12
    Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging

    Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging oleh Claes Nøhr Ladefoged, Lasse Anderberg, Karine Madsen, Otto Mølby Henriksen, Steen Gregers Hasselbalch, Flemming Littrup Andersen, Liselotte Højgaard, Ian Law, for the Alzheimer’s Disease Neuroimaging Initiative

    Diterbitkan 2023-07-01
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  13. 13
    Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

    Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI oleh Peter Jagd Sørensen, Jonathan Frederik Carlsen, Vibeke Andrée Larsen, Flemming Littrup Andersen, Claes Nøhr Ladefoged, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Adam Espe Hansen

    Diterbitkan 2023-01-01
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  14. 14
    Deep learning based low-activity PET reconstruction of [11C]PiB and [18F]FE-PE2I in neurodegenerative disorders

    Deep learning based low-activity PET reconstruction of [11C]PiB and [18F]FE-PE2I in neurodegenerative disorders oleh Raphaël Sura Daveau, Ian Law, Otto Mølby Henriksen, Steen Gregers Hasselbalch, Ulrik Bjørn Andersen, Lasse Anderberg, Liselotte Højgaard, Flemming Littrup Andersen, Claes Nøhr Ladefoged

    Diterbitkan 2022-10-01
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  15. 15
    AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size

    AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size oleh Claes Nøhr Ladefoged, Adam Espe Hansen, Otto Mølby Henriksen, Frederik Jager Bruun, Live Eikenes, Silje Kjærnes Øen, Anna Karlberg, Liselotte Højgaard, Ian Law, Flemming Littrup Andersen

    Diterbitkan 2020-11-01
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  16. 16
    Device-Less Data-Driven Cardiac and Respiratory Gating Using LAFOV PET Histo Images

    Device-Less Data-Driven Cardiac and Respiratory Gating Using LAFOV PET Histo Images oleh Nanna Overbeck, Thomas Lund Andersen, Anders Bertil Rodell, Jorge Cabello, Noah Birge, Paul Schleyer, Maurizio Conti, Kirsten Korsholm, Barbara Malene Fischer, Flemming Littrup Andersen, Ulrich Lindberg

    Diterbitkan 2024-09-01
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  17. 17
    Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm

    Improved Positron Emission Tomography Quantification: Evaluation of a Maximum-Likelihood Scatter Scaling Algorithm oleh Nanna Overbeck, Sahar Ahangari, Maurizio Conti, Vladimir Panin, Aleena Azam, Sorel Kurbegovic, Andreas Kjær, Liselotte Højgaard, Kirsten Korsholm, Barbara Malene Fischer, Flemming Littrup Andersen, Thomas Lund Andersen

    Diterbitkan 2024-05-01
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  18. 18
    Probabilistic deconvolution of PET images using informed priors

    Probabilistic deconvolution of PET images using informed priors oleh Thomas Mejer Hansen, Klaus Mosegaard, Søren Holm, Flemming Littrup Andersen, Barbara Malene Fischer, Barbara Malene Fischer, Barbara Malene Fischer, Adam Espe Hansen, Adam Espe Hansen, Adam Espe Hansen

    Diterbitkan 2023-01-01
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  19. 19
    Multi-parametric PET/MRI for enhanced tumor characterization of patients with cervical cancer

    Multi-parametric PET/MRI for enhanced tumor characterization of patients with cervical cancer oleh Sahar Ahangari, Flemming Littrup Andersen, Naja Liv Hansen, Trine Jakobi Nøttrup, Anne Kiil Berthelsen, Jesper Folsted Kallehauge, Ivan Richter Vogelius, Andreas Kjaer, Adam Espe Hansen, Barbara Malene Fischer

    Diterbitkan 2022-04-01
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  20. 20
    A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms

    A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms oleh Esben Andreas Carlsen, Kristian Lindholm, Amalie Hindsholm, Mathias Gæde, Claes Nøhr Ladefoged, Mathias Loft, Camilla Bardram Johnbeck, Seppo Wang Langer, Peter Oturai, Ulrich Knigge, Andreas Kjaer, Flemming Littrup Andersen

    Diterbitkan 2022-05-01
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