ZM
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT | Annals of nuclear medicine |  | 2026 | 18 | 191 | ||
| 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 | 25 | 142 | ||
| 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 | 70 | 96 | ||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | 2025 | 40 | 22 | ||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | 2025 | 85 | 44 | ||
| 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 | 38 | 45 | ||
| MetaPredictomics : A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics Data | Clinical nuclear medicine | | 2025 | 25 | 228 | ||
| 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 | 52 | 58 | ||
| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | 2025 | 54 | 571 | ||
| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology |  | 2025 | 66 | 0 | ||
| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | | 2025 | 42 | 48 | ||
| 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 | 5 | 0 | ||
| 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 | 91 | 143 | ||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | 2024 | 151 | 142 | ||
| 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 | 79 | 45 | ||
| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | 2024 | 59 | 420 | ||
| 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 | 97 | 57 | ||
| 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 | 126 | 68 | ||
| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | 2024 | 71 | 50 | ||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | 2024 | 121 | 84 | ||
| 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 | 63 | 55 | ||
| 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 | 116 | 76 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 176 | 74 | ||
| 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 | 82 | 42 | ||
| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | 2023 | 98 | 46 | ||
| 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 | 185 | 281 | ||
| 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 | 305 | 183 | ||
| 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 | 305 | 161 |
