| Reconstruction-Informed and Multidomain Deep Learning for Generalizable CT-Free Attenuation Correction in SPECT Myocardial Perfusion Imaging | Medical image analysis |  | | 2026 | 1 | 0 |
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| NeuroMix-DL : Improving imaging quality of a fast multiparametric MRI protocol using deep learning | European journal of radiology | | | 2026 | 9 | 15 |
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| 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 | 15 | 0 |
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| Deep learning-based restoration of PET images from a dual-panel breast dedicated scanner | Zeitschrift für medizinische Physik | | | 2026 | 14 | 166 |
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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 | 12 | 383 |
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| Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model | Academic radiology | | | 2025 | 22 | 151 |
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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 | 55 | 81 |
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| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | | 2025 | 57 | 889 |
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| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | | | 2025 | 57 | 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 | 46 | 67 |
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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 | 94 | 213 |
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| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | | 2024 | 154 | 212 |
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| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | | 2024 | 83 | 304 |
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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 | 86 | 56 |
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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 | 134 | 100 |
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| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | | 2024 | 63 | 679 |
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| The quest for multifunctional and dedicated PET instrumentation with irregular geometries | Annals of nuclear medicine | | | 2024 | 80 | 467 |
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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 | 144 | 77 |
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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 | 110 | 67 |
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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 | 250 | 55 |
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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 | 105 | 51 |
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| Strategies for improvement of PET instrumentation performance and imaging methodology | | | | 2023 | 402 | 576 |
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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 | 123 | 194 |
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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 | 156 | 65 |
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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 | 152 | 316 |
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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 | 195 | 149 |
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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 | 310 | 250 |
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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 | 226 | 304 |
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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 | 186 | 284 |
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| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | | 2022 | 257 | 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 | 309 | 198 |
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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 | 212 | 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 | 217 | 375 |
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| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | | 2021 | 390 | 205 |
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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 | 217 | 0 |
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| Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation | Medical Physics | | | 2021 | 260 | 187 |
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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 | 333 | 311 |
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| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | | | 2021 | 293 | 311 |
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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 | 217 | 124 |
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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 | 394 | 292 |
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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 | 325 | 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 | 368 | 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 | 297 | 311 |
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