AA
Akhavanallaf, Azadeh
Affiliation entities
Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
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Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning : A large multicentric cohort study | International journal of imaging systems and technology | 2024 | 39 | 11 | |||
Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy | European journal of nuclear medicine and molecular imaging | 2024 | 48 | 15 | |||
Enhancing precision: A predictive model for 177 Lu-DOTATATE treatment response in neuroendocrine tumors using quantitative 68 Ga-DOTATATE PET and clinicopathological biomarkers | Theranostics | 2024 | 53 | 57 | |||
Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks | European radiology | 2023 | 56 | 25 | |||
Strategies for radiation dose monitoring and optimization in diagnostic and therapeutic nuclear medicine procedures | 2023 | 195 | 325 | ||||
The predictive value of pretherapy [68Ga]Ga-DOTA-TATE PET and biomarkers in [177Lu]Lu-PRRT tumor dosimetry | European journal of nuclear medicine and molecular imaging | 2023 | 37 | 0 | |||
Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | 2023 | 64 | 18 | |||
Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | 2023 | 102 | 59 | |||
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | 2022 | 133 | 56 | |||
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images | International journal of imaging systems and technology | 2022 | 250 | 128 | |||
Development and validation of an optimal GATE model for proton pencil-beam scanning delivery | Zeitschrift für medizinische Physik | 2022 | 147 | 81 | |||
An update on computational anthropomorphic anatomical models | Digital health | 2022 | 94 | 111 | |||
Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | 2022 | 191 | 2 | |||
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients | Computers in biology and medicine | 2022 | 247 | 97 | |||
Comparative assessment of passive scattering and active scanning proton therapy techniques using Monte Carlo simulations | Journal of instrumentation | 2022 | 89 | 105 | |||
Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | 2021 | 181 | 118 | |||
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | 2021 | 326 | 113 | |||
Whole-body voxel-based internal dosimetry using deep learning | European Journal of Nuclear Medicine and Molecular Imaging | 2021 | 284 | 186 | |||
The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | 2021 | 198 | 208 | |||
Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | 2021 | 162 | 132 | |||
Assessment of uncertainties associated with monte carlo-based personalized dosimetry in clinical ct examinations | Physics in Medicine and Biology | 2020 | 302 | 303 | |||
Development of a library of adult computational phantoms based on anthropometric indexes | IEEE Transactions on Radiation and Plasma Medical Sciences | 2019 | 611 | 429 | |||
Construction of patient-specific computational models for organ dose estimation in radiological imaging | Medical Physics | 2019 | 402 | 224 |