| Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT | Annals of nuclear medicine |  | | 2026 | 31 | 897 |
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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 | 80 |
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| AI-augmented thyroid scintigraphy for robust classification of disease | Physica medica | | | 2026 | 10 | 44 |
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| Impact of Field-of-view Zooming and Segmentation Batches on Radiomics Features Reproducibility and Machine Learning Performance in Thyroid Scintigraphy | Clinical nuclear medicine | | | 2025 | 40 | 314 |
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| Pre-Treatment PET Radiomics for Prediction of Disease-Free Survival in Cervical Cancer | Cancers | | | 2025 | 18 | 109 |
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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 | 225 |
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| Robust vs. Non-robust radiomic features : the quest for optimal machine learning models using phantom and clinical studies | Cancer imaging | | | 2025 | 40 | 660 |
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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 | 382 |
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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 | 96 |
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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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| 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 | 246 |
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| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | | 2024 | 162 | 242 |
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| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | | 2024 | 92 | 364 |
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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 | 68 |
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| The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods | Annals of nuclear medicine | | | 2024 | 115 | 195 |
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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 | 201 |
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| Prediction of the Gleason Score of Prostate Cancer Patients Using 68Ga-PSMA-PET/CT Radiomic Models | Journal of medical and biological engineering |  | | 2024 | 98 | 0 |
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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 | 138 |
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| Predicting Immunohistochemical Biomarkers of Breast Cancer Using 18F-FDG PET/CT Radiomics : A Multicenter Study | Journal of medical and biological engineering | | | 2024 | 62 | 0 |
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| Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques : a phantom study | Medical & biological engineering & computing | | | 2024 | 97 | 53 |
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| PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms | Physical and Engineering Sciences in Medicine | | | 2024 | 58 | 161 |
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| Myocardial perfusion SPECT radiomic features reproducibility assessment : Impact of image reconstruction and harmonization | Medical physics | | | 2024 | 79 | 43 |
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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 | 87 |
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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 | 108 |
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| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | | 2024 | 189 | 127 |
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| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | | | 2023 | 121 | 85 |
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| Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | | | 2023 | 85 | 41 |
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| Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement | European journal of nuclear medicine and molecular imaging | | | 2023 | 162 | 77 |
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| Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics | La Radiologia medica | | | 2023 | 116 | 135 |
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| Synergistic impact of motion and acquisition/reconstruction parameters on 18F-FDG PET radiomic features in non-small cell lung cancer: Phantom and clinical studies | Medical physics | | | 2022 | 149 | 182 |
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