Hasil Pencarian - Lars Edenbrandt

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  1. 1
    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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  2. 2
    Asymmetric Cerebral Blood Flow in Patients with Mild Cognitive Impairment: Possible Relationship to Further Cognitive Deterioration

    Asymmetric Cerebral Blood Flow in Patients with Mild Cognitive Impairment: Possible Relationship to Further Cognitive Deterioration oleh Åke Edman, Lars Edenbrandt, Johan Fredén-Lindqvist, Magnus Nilsson, Anders Wallin

    Diterbitkan 2011-07-01
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  3. 3
    Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging

    Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging oleh Shintaro Saito, Kenichi Nakajima, Lars Edenbrandt, Olof Enqvist, Johannes Ulén, Seigo Kinuya

    Diterbitkan 2021-10-01
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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer

    Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer oleh Thomas Ying, Pablo Borrelli, Lars Edenbrandt, Olof Enqvist, Reza Kaboteh, Elin Trägårdh, Johannes Ulén, Henrik Kjölhede

    Diterbitkan 2021-11-01
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  10. 10
    Alavi–Carlsen Calcification Score (ACCS): A Simple Measure of Global Cardiac Atherosclerosis Burden

    Alavi–Carlsen Calcification Score (ACCS): A Simple Measure of Global Cardiac Atherosclerosis Burden oleh Babak Saboury, Lars Edenbrandt, Reza Piri, Oke Gerke, Tom Werner, Armin Arbab-Zadeh, Abass Alavi, Poul Flemming Høilund-Carlsen

    Diterbitkan 2021-08-01
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  11. 11
    Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [<sup>18</sup>F]-PSMA-1007 PET-CT

    Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [<sup>18</sup>F]-PSMA-1007 PET-CT oleh Elin Trägårdh, Olof Enqvist, Johannes Ulén, Jonas Jögi, Ulrika Bitzén, Fredrik Hedeer, Kristian Valind, Sabine Garpered, Erland Hvittfeldt, Pablo Borrelli, Lars Edenbrandt

    Diterbitkan 2022-08-01
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  12. 12
    Correction to: 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

    Correction to: 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer oleh Sarah Lindgren Belal, May Sadik, Reza Kaboteh, Nezar Hasani, Olof Enqvist, Linus Svärm, Fredrik Kahl, Jane Simonsen, Mads H. Poulsen, Mattias Ohlsson, Poul F. Høilund-Carlsen, Lars Edenbrandt, Elin Trägårdh

    Diterbitkan 2019-05-01
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  13. 13
    3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

    3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer oleh Sarah Lindgren Belal, May Sadik, Reza Kaboteh, Nezar Hasani, Olof Enqvist, Linus Svärm, Fredrik Kahl, Jane Simonsen, Mads H. Poulsen, Mattias Ohlsson, Poul F. Høilund-Carlsen, Lars Edenbrandt, Elin Trägårdh

    Diterbitkan 2017-02-01
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  14. 14
    Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography

    Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography oleh Eirini Polymeri, MD, Åse A. Johnsson, PhD, Olof Enqvist, PhD, Johannes Ulén, PhD, Niclas Pettersson, PhD, Fredrik Nordström, PhD, Jon Kindblom, PhD, Elin Trägårdh, PhD, Lars Edenbrandt, PhD, Henrik Kjölhede, PhD

    Diterbitkan 2024-03-01
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