Hasil Pencarian - Elin Trägårdh

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  1. 1
    Assessment of Ventilation and Perfusion in Patients with COVID-19 Discloses Unique Information of Pulmonary Function to a Clinician: Case Reports of V/P SPECT

    Assessment of Ventilation and Perfusion in Patients with COVID-19 Discloses Unique Information of Pulmonary Function to a Clinician: Case Reports of V/P SPECT oleh Marika Bajc, Fredrik Hedeer, Ari Lindqvist, Elin Trägårdh

    Diterbitkan 2021-07-01
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  2. 2
    Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system

    Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system oleh Jenny Oddstig, Gustav Brolin, Elin Trägårdh, David Minarik

    Diterbitkan 2021-02-01
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  3. 3
    Comparison between silicon photomultiplier-based and conventional PET/CT in patients with suspected lung cancer—a pilot study

    Comparison between silicon photomultiplier-based and conventional PET/CT in patients with suspected lung cancer—a pilot study oleh Johan Economou Lundeberg, Jenny Oddstig, Ulrika Bitzén, Elin Trägårdh

    Diterbitkan 2019-09-01
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  4. 4
    Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network

    Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network oleh John Ly, David Minarik, Jonas Jögi, Per Wollmer, Elin Trägårdh

    Diterbitkan 2021-05-01
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  5. 5
    Dose-reduced [18F]PSMA-1007 PET is feasible for functional imaging of the renal cortex

    Dose-reduced [18F]PSMA-1007 PET is feasible for functional imaging of the renal cortex oleh Kristian Valind, Jonas Jögi, David Minarik, Gustav Brolin, Elin Trägårdh

    Diterbitkan 2021-10-01
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  6. 6
    The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommendations

    The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommenda... oleh John Ly, David Minarik, Lars Edenbrandt, Per Wollmer, Elin Trägårdh

    Diterbitkan 2019-07-01
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  7. 7
    Assessing the accuracy of [18F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients

    Assessing the accuracy of [18F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients oleh Jacob Ingvar, Erland Hvittfeldt, Elin Trägårdh, Athanasios Simoulis, Anders Bjartell

    Diterbitkan 2022-08-01
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  8. 8
    AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT

    AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT oleh Anni Gålne, Olof Enqvist, Anna Sundlöv, Kristian Valind, David Minarik, Elin Trägårdh

    Diterbitkan 2023-08-01
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  9. 9
    A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer

    A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer oleh Mariana Reza, Reza Kaboteh, May Sadik, Anders Bjartell, Per Wollmer, Elin Trägårdh

    Diterbitkan 2018-05-01
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  10. 10
    [18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging

    [18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging oleh Kristian Valind, David Minarik, Sabine Garpered, Eva Persson, Jonas Jögi, Elin Trägårdh

    Diterbitkan 2023-11-01
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  11. 11
    PET/CT imaging 2 h after injection of [18F]PSMA-1007 can lead to higher staging of prostate cancer than imaging after 1 h

    PET/CT imaging 2 h after injection of [18F]PSMA-1007 can lead to higher staging of prostate cancer than imaging after 1 h oleh Erland Hvittfeldt, Ulrika Bitzén, David Minarik, Jenny Oddstig, Berit Olsson, Elin Trägårdh

    Diterbitkan 2023-05-01
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  12. 12
    Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer

    Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer oleh Elin Trägårdh, David Minarik, Gustav Brolin, Ulrika Bitzén, Berit Olsson, Jenny Oddstig

    Diterbitkan 2020-05-01
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  13. 13
    Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth

    Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth oleh Hanna Sartor, David Minarik, Olof Enqvist, Johannes Ulén, Anders Wittrup, Maria Bjurberg, Elin Trägårdh

    Diterbitkan 2020-11-01
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  14. 14
    AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

    AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients oleh Pablo Borrelli, John Ly, Reza Kaboteh, Johannes Ulén, Olof Enqvist, Elin Trägårdh, Lars Edenbrandt

    Diterbitkan 2021-03-01
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  15. 15
    RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

    RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology oleh Elin Trägårdh, Pablo Borrelli, Reza Kaboteh, Tony Gillberg, Johannes Ulén, Olof Enqvist, Lars Edenbrandt

    Diterbitkan 2020-08-01
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  16. 16
    Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

    Artificial intelligence-aided CT segmentation for body composition analysis: a validation study oleh Pablo Borrelli, Reza Kaboteh, Olof Enqvist, Johannes Ulén, Elin Trägårdh, Henrik Kjölhede, Lars Edenbrandt

    Diterbitkan 2021-03-01
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  17. 17
    Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for 18F-fluorocholine PET-CT regarding image quality and interpretation

    Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for 18F-fluorocholine PET-CT regarding image quality and interpretat... oleh Mimmi Bjöersdorff, Jenny Oddstig, Nina Karindotter-Borgendahl, Helén Almquist, Sophia Zackrisson, David Minarik, Elin Trägårdh

    Diterbitkan 2019-03-01
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  18. 18
    AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans

    AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans oleh Thomas Ying, Pablo Borrelli, Lars Edenbrandt, Olof Enqvist, Reza Kaboteh, Elin Trägårdh, Johannes Ulén, Henrik Kjölhede

    Diterbitkan 2024-06-01
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  19. 19
    Impact of acquisition time and penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm on a Si-photomultiplier-based PET-CT system for 18F-FDG

    Impact of acquisition time and penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm on a Si-photomultiplier-based PET-CT system for... oleh Elin Trägårdh, David Minarik, Helén Almquist, Ulrika Bitzén, Sabine Garpered, Erland Hvittfelt, Berit Olsson, Jenny Oddstig

    Diterbitkan 2019-07-01
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  20. 20
    Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer

    Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer oleh Pablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, Johannes Ulén, Olof Enqvist, Elin Trägårdh, Lars Edenbrandt

    Diterbitkan 2022-02-01
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