ZM
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| 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 | 32 | 9 | ||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | 2025 | 17 | 5 | ||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | 2025 | 47 | 11 | ||
| 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 | 19 | 8 | ||
| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | 2025 | 14 | 7 | ||
| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology |  | 2025 | 27 | 0 | ||
| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | | 2025 | 13 | 12 | ||
| 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 | 45 | 27 | ||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | 2024 | 68 | 42 | ||
| 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 | 51 | 13 | ||
| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | 2024 | 33 | 35 | ||
| 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 | 68 | 17 | ||
| 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 | 58 | 23 | ||
| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | 2024 | 40 | 22 | ||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | 2024 | 68 | 32 | ||
| 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 | 38 | 18 | ||
| 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 | 80 | 48 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 101 | 35 | ||
| 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 | 60 | 27 | ||
| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | 2023 | 72 | 19 | ||
| 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 | 137 | 152 | ||
| 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 | 258 | 130 | ||
| 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 | 263 | 109 |
