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| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Impact of Field-of-view Zooming and Segmentation Batches on Radiomics Features Reproducibility and Machine Learning Performance in Thyroid Scintigraphy | Clinical nuclear medicine | 2025 | 24 | 35 | |||
| Pre-Treatment PET Radiomics for Prediction of Disease-Free Survival in Cervical Cancer | Cancers | 2025 | 2 | 3 | |||
| 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 | 65 | 27 | |||
| Robust vs. Non-robust radiomic features : the quest for optimal machine learning models using phantom and clinical studies | Cancer imaging | 2025 | 29 | 115 | |||
| MetaPredictomics : A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics Data | Clinical nuclear medicine | 2025 | 19 | 96 | |||
| 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 | 46 | 25 | |||
| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | 2025 | 39 | 23 | |||
| 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 | 83 | 66 | |||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | 2024 | 145 | 61 | |||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | 2024 | 74 | 58 | |||
| 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 | 73 | 31 | |||
| The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods | Annals of nuclear medicine | 2024 | 101 | 50 | |||
| 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 | 113 | 39 | |||
| Prediction of the Gleason Score of Prostate Cancer Patients Using 68Ga-PSMA-PET/CT Radiomic Models | Journal of medical and biological engineering | 2024 | 81 | 0 | |||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | 2024 | 117 | 61 | |||
| Predicting Immunohistochemical Biomarkers of Breast Cancer Using 18F-FDG PET/CT Radiomics : A Multicenter Study | Journal of medical and biological engineering | 2024 | 51 | 0 | |||
| 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 | 74 | 18 | |||
| PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms | Physical and Engineering Sciences in Medicine | 2024 | 47 | 26 | |||
| Myocardial perfusion SPECT radiomic features reproducibility assessment : Impact of image reconstruction and harmonization | Medical physics | 2024 | 68 | 20 | |||
| 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 | 59 | 32 | |||
| 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 | 111 | 57 | |||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | 2024 | 172 | 51 | |||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | 2023 | 109 | 16 | |||
| Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | 2023 | 73 | 20 | |||
| 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 | 147 | 43 | |||
| Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics | La Radiologia medica | 2023 | 104 | 69 | |||
| 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 | 138 | 65 |
