| 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 | 86 | 56 |
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| 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 | 100 | 93 |
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| 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 | 100 | 141 |
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| 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 | 88 | 52 |
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| Strategies for radiation dose monitoring and optimization in diagnostic and therapeutic nuclear medicine procedures | | | | 2023 | 383 | 784 |
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| 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 | 87 | 0 |
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| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | | 2023 | 103 | 62 |
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| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | | 2023 | 152 | 303 |
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| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | | | 2022 | 195 | 149 |
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| 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 | 310 | 245 |
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| Development and validation of an optimal GATE model for proton pencil-beam scanning delivery | Zeitschrift für medizinische Physik | | | 2022 | 196 | 206 |
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| An update on computational anthropomorphic anatomical models | Digital health | | | 2022 | 159 | 203 |
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| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | | 2022 | 257 | 2 |
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| 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 | 309 | 191 |
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| Comparative assessment of passive scattering and active scanning proton therapy techniques using Monte Carlo simulations | Journal of instrumentation | | | 2022 | 130 | 271 |
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| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | | | 2021 | 217 | 368 |
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| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | | 2021 | 390 | 202 |
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| Whole-body voxel-based internal dosimetry using deep learning | European Journal of Nuclear Medicine and Molecular Imaging | | | 2021 | 343 | 222 |
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| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | | | 2021 | 293 | 311 |
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| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | | | 2021 | 212 | 210 |
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| Assessment of uncertainties associated with monte carlo-based personalized dosimetry in clinical ct examinations | Physics in Medicine and Biology | | | 2020 | 357 | 322 |
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| Development of a library of adult computational phantoms based on anthropometric indexes | IEEE Transactions on Radiation and Plasma Medical Sciences | | | 2019 | 650 | 762 |
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| Construction of patient-specific computational models for organ dose estimation in radiological imaging | Medical Physics | | | 2019 | 443 | 314 |
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