| CT-free attenuation correction of 13N-ammonia cardiac PET images using conditional denoising diffusion implicit model with logarithmic linear normalization | Computer methods and programs in biomedicine |  | | 2026 | 1 | 0 |
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| Critical review of partial volume correction methods in PET and SPECT imaging : benefits, pitfalls, challenges, and future outlook | European journal of nuclear medicine and molecular imaging |  | | 2025 | 3 | 89 |
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| Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model | Academic radiology |  | | 2025 | 15 | 61 |
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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 | 49 | 42 |
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| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica |  | | 2025 | 48 | 225 |
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| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics |  | | 2025 | 38 | 0 |
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| Deep learning-based triple-tracer brain PET scanning in a single session : A simulation study using clinical data | NeuroImage |  | | 2025 | 37 | 25 |
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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 | 86 | 88 |
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| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics |  | | 2024 | 148 | 79 |
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| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine |  | | 2024 | 77 | 83 |
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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 | 75 | 38 |
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| A deep learning model for generating [18F]FDG PET Images from early-phase [18F]Florbetapir and [18F]Flutemetamol PET images | European journal of nuclear medicine and molecular imaging |  | | 2024 | 123 | 64 |
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| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine |  | | 2024 | 57 | 205 |
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| The quest for multifunctional and dedicated PET instrumentation with irregular geometries | Annals of nuclear medicine |  | | 2024 | 71 | 162 |
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| Impact of simulated reduced injected dose on the assessment of amyloid PET scans | European journal of nuclear medicine and molecular imaging |  | | 2024 | 138 | 29 |
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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 | 102 | 34 |
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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 | 241 | 44 |
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| An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images | Insights into Imaging |  | | 2023 | 98 | 20 |
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| Strategies for improvement of PET instrumentation performance and imaging methodology | |  | | 2023 | 325 | 459 |
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| Reduction of scan duration and radiation dose in cerebral CT perfusion imaging of acute stroke using a recurrent neural network | Physics in medicine and biology |  | | 2023 | 116 | 127 |
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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 | 148 | 44 |
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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 | 145 | 135 |
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| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports |  | | 2022 | 188 | 108 |
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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 | 302 | 162 |
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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 | 217 | 120 |
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| Active-PET: a multifunctional PET scanner with dynamic gantry size featuring high-resolution and high-sensitivity imaging: a Monte Carlo simulation study | Physics in medicine and biology |  | | 2022 | 181 | 124 |
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| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine |  | | 2022 | 250 | 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 | 304 | 144 |
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| Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness | Journal of digital imaging |  | | 2022 | 204 | 0 |
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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 | 212 | 193 |
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| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology |  | | 2021 | 379 | 142 |
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| Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms | Clinical Nuclear Medicine |  | | 2021 | 210 | 0 |
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| Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation | Medical Physics |  | | 2021 | 251 | 112 |
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| Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging | European Journal of Nuclear Medicine and Molecular Imaging |  | | 2021 | 327 | 156 |
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| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica |  | | 2021 | 279 | 247 |
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| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms | NeuroImage |  | | 2021 | 211 | 111 |
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| Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network | Applied Sciences |  | | 2020 | 380 | 210 |
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| Polaroid-PET: a PET scanner with detectors fitted with Polaroid for filtering unpolarized optical photons-a Monte Carlo simulation study | Physics in Medicine and Biology |  | | 2020 | 319 | 1 |
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| Projection-space implementation of deep learning-guided low-dose brain PET imaging improves performance over implementation in image-space | Journal of Nuclear Medicine |  | | 2020 | 358 | 1 |
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| Novel preclinical PET geometrical concept using a monolithic scintillator crystal offering concurrent enhancement in spatial resolution and detection sensitivity: a simulation study | Physics in Medicine and Biology |  | | 2020 | 288 | 246 |
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