| Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT | Annals of nuclear medicine |  | | 2026 | 28 | 864 |
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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 | 7 | 64 |
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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 | 9 | 28 |
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| Dosimetry and pharmacokinetics of [223Ra]Ra-dichloride alpha therapy in prostate cancer patients with bone metastases | Physics in medicine and biology | | | 2026 | 5 | 14 |
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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 | 7 | 16 |
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| Artificial Intelligence for Simplified Patient-centered Dosimetry in Radiopharmaceutical Therapies | PET clinics |  | | 2026 | 18 | 0 |
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| Towards practical radiopharmaceutical treatment planning : a review of dosimetry simplification techniques | Theranostics | | | 2026 | 8 | 17 |
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| Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner | Medical physics | | | 2026 | 22 | 69 |
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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 | 34 | 246 |
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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 | 80 | 205 |
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| Performance Evaluation of the Time-of-Flight Biograph Vision.X : A Fast Coincidence Time Resolution PET/CT Scanner | IEEE transactions on radiation and plasma medical sciences | | | 2025 | 19 | 205 |
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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 | 53 | 55 |
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| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | | 2025 | 95 | 91 |
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| Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network | Forensic imaging | | | 2025 | 82 | 60 |
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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 | 47 | 69 |
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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 | 33 | 364 |
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| AI-Powered Innovations in Medical Imaging: Enhancing Accuracy, Safety, and Personalized Treatment in diagnostic and theragnostic Imaging | | | | 2025 | 252 | 346 |
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| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | | | 2025 | 54 | 197 |
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| Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model | Academic radiology | | | 2025 | 29 | 186 |
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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 | 59 | 89 |
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| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | | 2025 | 62 | 952 |
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| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology | | | 2025 | 84 | 58 |
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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 | 50 | 70 |
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| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | | | 2025 | 63 | 0 |
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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 | 14 | 127 |
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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 | 99 | 237 |
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| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | | 2024 | 159 | 231 |
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| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | | 2024 | 91 | 355 |
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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 | 90 | 62 |
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| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | | 2024 | 70 | 770 |
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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 | 104 | 113 |
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| Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET | EJNMMI physics | | | 2024 | 125 | 187 |
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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 | 138 | 186 |
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| An efficient dual-domain deep learning network for sparse-view CT reconstruction | Computer methods and programs in biomedicine | | | 2024 | 122 | 81 |
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| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | | 2024 | 85 | 100 |
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| PRIMIS : Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation | Journal of biomedical informatics | | | 2024 | 91 | 1 |
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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 | 130 | 131 |
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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 | 73 | 80 |
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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 | 128 | 103 |
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| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | | 2024 | 185 | 112 |
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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 | 93 | 55 |
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| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | | | 2023 | 110 | 145 |
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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 | 120 | 76 |
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| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | | | 2023 | 115 | 91 |
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| A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information | European journal of nuclear medicine and molecular imaging | | | 2023 | 254 | 61 |
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| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | | 2023 | 107 | 69 |
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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 | 161 | 70 |
|
| 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 | 194 | 338 |
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| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | | 2023 | 158 | 367 |
|
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | | | 2022 | 199 | 151 |
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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 | 315 | 275 |
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| Deep‐TOF‐PET : Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains | Human brain mapping | | | 2022 | 232 | 457 |
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| An update on computational anthropomorphic anatomical models | Digital health | | | 2022 | 164 | 209 |
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| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | | 2022 | 263 | 2 |
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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 | 313 | 236 |
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| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | | | 2021 | 222 | 412 |
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| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | | 2021 | 394 | 215 |
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| Machine Learning-based Prognostic Modeling using Clinical Data and Quantitative Radiomic Features from Chest CT Images in COVID-19 Patients | Computers in Biology and Medicine | | | 2021 | 238 | 232 |
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| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | | | 2021 | 217 | 227 |
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