| Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT | Annals of nuclear medicine |  | | 2026 | 31 | 899 |
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| Reconstruction-Informed and Multidomain Deep Learning for Generalizable CT-Free Attenuation Correction in SPECT Myocardial Perfusion Imaging | Medical image analysis | | | 2026 | 10 | 83 |
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| Acquisition Time–Specific Deep Learning–Guided Image Quality Restoration in Accelerated I-123 DaTSCAN Brain SPECT on a Ring-Shaped CZT-Based Camera | Journal of imaging informatics in medicine | | | 2026 | 11 | 43 |
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| Artificial Intelligence Across the Cancer Theranostics Workflow : Critical Appraisal of Current Evidence and Future Clinical Translation | Molecular imaging and biology | | | 2026 | 10 | 22 |
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| Towards practical radiopharmaceutical treatment planning : a review of dosimetry simplification techniques | Theranostics | | | 2026 | 10 | 26 |
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| Evaluation of end-to-end 3D absorbed dose distribution in 90Y-SIRT and SBRT combination therapy using MAGIC-f polymer gel dosimeter | European journal of nuclear medicine and molecular imaging | | | 2025 | 38 | 251 |
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| Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging : a comprehensive deep learning study | European journal of nuclear medicine and molecular imaging | | | 2025 | 83 | 228 |
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| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | | 2025 | 56 | 69 |
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| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | | 2025 | 98 | 105 |
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| Deep Learning-Based CT-Less Cardiac Segmentation of PET Images : A Robust Methodology for Multi-Tracer Nuclear Cardiovascular Imaging | Journal of Imaging Informatics in Medicine | | | 2025 | 52 | 76 |
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| MetaPredictomics : A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics Data | Clinical nuclear medicine | | | 2025 | 36 | 391 |
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| Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging : multi-tracer, multi-scanner, and multi-center development and evaluation study | European journal of nuclear medicine and molecular imaging | | | 2025 | 62 | 97 |
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| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | | 2025 | 65 | 981 |
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| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology | | | 2025 | 89 | 73 |
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| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | | | 2025 | 53 | 78 |
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| CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative 90Y-SPECT imaging for improved dose calculation using deep learning | European journal of nuclear medicine and molecular imaging | | | 2025 | 17 | 143 |
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| Organomics : A novel concept reflecting the importance of PET/CT healthy organ radiomics in non-small cell lung cancer prognosis prediction using machine learning | Clinical nuclear medicine | | | 2024 | 102 | 253 |
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| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | | 2024 | 162 | 252 |
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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 | 93 | 73 |
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| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | | 2024 | 73 | 827 |
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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 | 107 | 125 |
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| The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres SIRT : a preliminary machine learning study | European journal of nuclear medicine and molecular imaging | | | 2024 | 141 | 207 |
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| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | | 2024 | 89 | 107 |
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| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | | 2024 | 133 | 142 |
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| Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study | Radiation oncology | | | 2024 | 76 | 88 |
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| Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance | Zeitschrift für medizinische Physik | | | 2024 | 131 | 111 |
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| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | | 2024 | 189 | 133 |
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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 | 96 | 61 |
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| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | | 2023 | 110 | 75 |
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| Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study | European radiology | | | 2023 | 197 | 355 |
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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 | 318 | 289 |
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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 | 316 | 243 |
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