| Reconstruction-Informed and Multidomain Deep Learning for Generalizable CT-Free Attenuation Correction in SPECT Myocardial Perfusion Imaging | Medical image analysis |  | | 2026 | 7 | 64 |
|
| Simultaneous partial volume correction and denoising of brain PET images, using transformers and transfer learning | EJNMMI research | | | 2026 | 7 | 57 |
|
| NeuroMix-DL : Improving imaging quality of a fast multiparametric MRI protocol using deep learning | European journal of radiology | | | 2026 | 13 | 19 |
|
| 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 | 19 | 0 |
|
| Deep learning-based restoration of PET images from a dual-panel breast dedicated scanner | Zeitschrift für medizinische Physik | | | 2026 | 21 | 179 |
|
| 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 | 17 | 399 |
|
| Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model | Academic radiology | | | 2025 | 29 | 186 |
|
| 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 |
|
| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | | 2025 | 62 | 952 |
|
| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | | | 2025 | 63 | 0 |
|
| Deep learning-based triple-tracer brain PET scanning in a single session : A simulation study using clinical data | NeuroImage | | | 2025 | 52 | 78 |
|
| 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 |
|
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | | 2024 | 159 | 231 |
|
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | | 2024 | 91 | 355 |
|
| 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 |
|
| 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 | 140 | 143 |
|
| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | | 2024 | 70 | 770 |
|
| The quest for multifunctional and dedicated PET instrumentation with irregular geometries | Annals of nuclear medicine | | | 2024 | 84 | 486 |
|
| Impact of simulated reduced injected dose on the assessment of amyloid PET scans | European journal of nuclear medicine and molecular imaging | | | 2024 | 149 | 87 |
|
| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | | | 2023 | 115 | 91 |
|
| 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 |
|
| An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images | Insights into imaging | | | 2023 | 110 | 66 |
|
| Strategies for improvement of PET instrumentation performance and imaging methodology | | | | 2023 | 412 | 622 |
|
| 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 | 127 | 214 |
|
| 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 |
|
| 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 |
|
| 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 |
|
| 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 |
|
| 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 | 190 | 301 |
|
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | | 2022 | 263 | 2 |
|
| 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 |
|
| Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness | Journal of digital imaging | | | 2022 | 217 | 0 |
|
| 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 |
|
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | | 2021 | 394 | 215 |
|
| Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms | Clinical Nuclear Medicine | | | 2021 | 222 | 0 |
|
| Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation | Medical Physics | | | 2021 | 264 | 200 |
|
| Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging | European Journal of Nuclear Medicine and Molecular Imaging | | | 2021 | 337 | 336 |
|
| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | | | 2021 | 297 | 361 |
|
| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms | NeuroImage | | | 2021 | 222 | 127 |
|
| Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network | Applied Sciences | | | 2020 | 398 | 321 |
|
| 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 | 329 | 1 |
|
| Projection-space implementation of deep learning-guided low-dose brain PET imaging improves performance over implementation in image-space | Journal of Nuclear Medicine | | | 2020 | 372 | 1 |
|
| 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 | 301 | 325 |
|
