Hasil Pencarian - Azadeh Akhavanallaf

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  1. 1
    Development and validation of an optimal GATE model for proton pencil-beam scanning delivery

    Development and validation of an optimal GATE model for proton pencil-beam scanning delivery oleh Ali Asadi, Azadeh Akhavanallaf, Seyed Abolfazl Hosseini, Naser Vosoughi, Habib Zaidi

    Diterbitkan 2023-11-01
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  2. 2
    90Y SPECT scatter estimation and voxel dosimetry in radioembolization using a unified deep learning framework

    90Y SPECT scatter estimation and voxel dosimetry in radioembolization using a unified deep learning framework oleh Yixuan Jia, Zongyu Li, Azadeh Akhavanallaf, Jeffrey A. Fessler, Yuni K. Dewaraja

    Diterbitkan 2023-12-01
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  3. 3
    An update on computational anthropomorphic anatomical models

    An update on computational anthropomorphic anatomical models oleh Azadeh Akhavanallaf, Hadi Fayad, Yazdan Salimi, Antar Aly, Hassan Kharita, Huda Al Naemi, Habib Zaidi

    Diterbitkan 2022-07-01
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  4. 4
    High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms

    High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms oleh Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Hossein Arabi, Arman Rahmim, Habib Zaidi

    Diterbitkan 2022-09-01
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  5. 5
    Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies

    Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies oleh Mercedes Riveira-Martin, Azadeh Akhavanallaf, Zahra Mansouri, Nicola Bianchetto Wolf, Yazdan Salimi, Alexis Ricoeur, Ismini Mainta, Valentina Garibotto, Antonio López Medina, Habib Zaidi

    Diterbitkan 2023-07-01
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  6. 6
    Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

    Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging oleh Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf, Zahra Mansouri, Abdollah Saberi Manesh, Amirhossein Sanaat, Masoumeh Pakbin, Dariush Askari, Saleh Sandoughdaran, Ehsan Sharifipour, Hossein Arabi, Habib Zaidi

    Diterbitkan 2021-11-01
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