HA
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Quantitative determination of spatial resolution and linearity of position-sensitive LG-SiPMs at sub-millimeter scale via Ricean distribution fitting | Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment | 2025 | 22 | 6 | |||
| 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 | 64 | 22 | |||
| Compact and Handheld SiPM-Based Gamma Camera for Radio-Guided Surgery and Medical Imaging | Instruments | 2025 | 30 | 10 | |||
| Automated pulmonary nodule classification from low-dose CT images using ERBNet : an ensemble learning approach | Medical & biological engineering & computing | 2025 | 24 | 13 | |||
| Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels | Computers in biology and medicine | 2025 | 16 | 0 | |||
| Comparative Analysis of 68Ga-Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography and Multiparametric Magnetic Resonance Imaging for Gross Tumor Volume Delineation in Radiation Therapy Planning of Prostate Cancer | Advances in radiation oncology | 2025 | 28 | 15 | |||
| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | 2025 | 33 | 0 | |||
| Targeted radioligand therapy : physics and biology, internal dosimetry and other practical aspects during 177 Lu/ 225 Ac treatment in neuroendocrine tumors and metastatic prostate cancer | Theranostics | 2025 | 48 | 10 | |||
| An Update on the Role of mpMRI and 68Ga-PSMA PET Imaging in Primary and Recurrent Prostate Cancer | Clinical genitourinary cancer | 2024 | 59 | 127 | |||
| 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 | 71 | 30 | |||
| Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18F-FDG PET/CT Imaging : Contribution of Artificial Intelligence and Radiomics Analysis | Cancers | 2024 | 90 | 34 | |||
| A Prospective Evaluation of Chemokine Receptor-4 (CXCR4) Overexpression in High-grade Glioma Using 68Ga-Pentixafor (Pars-Cixafor™) PET/CT Imaging | Academic radiology | 2024 | 53 | 18 | |||
| Strategies for deep learning‐based attenuation and scatter correction of brain 18 F‐FDG PET images in the image domain | Medical physics | 2024 | 97 | 0 | |||
| Contrastive learning vs. self-learning vs. deformable data augmentation in semantic segmentation of medical images | Journal of Imaging Informatics in Medicine | 2024 | 65 | 22 | |||
| The quest for multifunctional and dedicated PET instrumentation with irregular geometries | Annals of nuclear medicine | 2024 | 70 | 64 | |||
| Innovations in dedicated PET instrumentation : from the operating room to specimen imaging | Physics in medicine and biology | 2024 | 64 | 44 | |||
| Initial clinical experience using 68Ga-FAPI-46 PET/CT for detecting various cancer types | Hellenic Journal of Nuclear Medicine | 2024 | 406 | 356 | |||
| Recent Advances in Positron Emission Tomography/Magnetic Resonance Imaging Technology | Magnetic resonance imaging clinics of North America | 2023 | 72 | 0 | |||
| A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information | European Journal of Nuclear Medicine and Molecular Imaging | 2023 | 239 | 43 | |||
| An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images | Insights into Imaging | 2023 | 96 | 15 | |||
| 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 | 177 | 184 | |||
| Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier | Radiological physics and technology | 2023 | 93 | 0 | |||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | 2023 | 144 | 102 | |||
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | 2022 | 184 | 98 | |||
| 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 | 299 | 151 | |||
| Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance | European journal of nuclear medicine and molecular imaging | 2022 | 225 | 113 | |||
| 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 | 214 | 97 | |||
| Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks | European journal of nuclear medicine and molecular imaging | 2022 | 132 | 41 | |||
| 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 | 95 | |||
| MRI‐guided attenuation correction in torso PET/MRI: Assessment of segmentation‐, atlas‐, and deep learning‐based approaches in the presence of outliers | Magnetic Resonance in Medicine | 2022 | 293 | 104 | |||
| Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images | Computers in biology and medicine | 2022 | 198 | 87 | |||
| Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging | Journal of computational design and engineering | 2022 | 253 | 94 | |||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | 2022 | 248 | 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 | 300 | 133 | |||
| Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness | Journal of digital imaging | 2022 | 203 | 0 | |||
| Non-local mean denoising using multiple PET reconstructions | Annals of Nuclear Medicine | 2021 | 292 | 85 | |||
| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | 2021 | 211 | 137 | |||
| Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer | Medical Physics | 2021 | 223 | 0 | |||
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | 2021 | 374 | 132 | |||
| Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms | Clinical Nuclear Medicine | 2021 | 209 | 0 | |||
| Automatic fetal biometry prediction using a novel deep convolutional network architecture | Physica Medica | 2021 | 213 | 1 | |||
| Whole-body voxel-based internal dosimetry using deep learning | European Journal of Nuclear Medicine and Molecular Imaging | 2021 | 330 | 201 | |||
| Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study | Journal of Nuclear Cardiology | 2021 | 323 | 0 | |||
| Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks | Journal of Nuclear Cardiology | 2021 | 299 | 0 | |||
| Deep learning–based metal artefact reduction in PET/CT imaging | European Radiology | 2021 | 312 | 178 | |||
| Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging | European Journal of Nuclear Medicine and Molecular Imaging | 2021 | 318 | 134 | |||
| Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain | Clinical Nuclear Medicine | 2021 | 219 | 1 | |||
| 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 | 226 | 89 | |||
| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | 2021 | 272 | 241 | |||
| Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain | Physics in Medicine and Biology | 2021 | 188 | 0 | |||
| Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma | Physics in medicine and biology | 2021 | 243 | 0 | |||
| Non-Small Cell Lung Carcinoma Histopathological Subtype Phenotyping using High-Dimensional Multinomial Multiclass CT Radiomics Signature | Computers in Biology and Medicine | 2021 | 215 | 177 | |||
| Comparison of the X-ray tube spectrum measurement using BGO, NaI, LYSO, and HPGe detectors in a preclinical mini-CT scanner: Monte Carlo simulation and practical experiment | Radiation Physics and Chemistry | 2021 | 270 | 0 | |||
| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms | NeuroImage | 2021 | 210 | 108 | |||
| Deep learning-based Auto-segmentation of Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer | Radiotherapy and Oncology | 2021 | 200 | 0 | |||
| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | 2021 | 206 | 158 | |||
| A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI | Medical Physics | 2020 | 284 | 0 | |||
| Spatially guided nonlocal mean approach for denoising of PET images | Medical Physics | 2020 | 358 | 258 | |||
| Projection-space implementation of deep learning-guided low-dose brain PET imaging improves performance over implementation in image-space | Journal of Nuclear Medicine | 2020 | 354 | 1 | |||
| Truncation compensation and metallic dental implant artefact reduction in PET/MRI attenuation correction using deep learning-based object completion | Physics in Medicine and Biology | 2020 | 254 | 0 | |||
| Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network | European Journal of Nuclear Medicine and Molecular Imaging | 2020 | 270 | 0 | |||
| Deep learning‐guided joint attenuation and scatter correction in multitracer neuroimaging studies | Human Brain Mapping | 2020 | 378 | 145 | |||
| Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data | Medical Image Analysis | 2020 | 325 | 3 | |||
| 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 | 283 | 217 | |||
| Deep Learning-based Automated Delineation of Head and Neck Malignant Lesions from PET Images | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) | 2020 | 250 | 0 | |||
| Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy | European Journal of Hybrid Imaging | 2020 | 311 | 242 | |||
| Design and construction of a variable resolution cone-beam small animal mini-CT prototype for in vivo studies | Radiation Physics and Chemistry | 2019 | 461 | 347 | |||
| Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI | European Journal of Nuclear Medicine and Molecular Imaging | 2019 | 441 | 1,147 | |||
| Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region | Medical Physics | 2018 | 754 | 607 | |||
| Improvement of image quality in PET using post-reconstruction hybrid spatial-frequency domain filtering | Physics in Medicine and Biology | 2018 | 555 | 395 | |||
| Comparison of atlas-based techniques for whole-body bone segmentation | Medical image analysis | 2017 | 559 | 335 | |||
| Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET–MRI-guided radiotherapy treatment planning | Physics in medicine and biology | 2016 | 539 | 1 | |||
| Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI | NeuroImage | 2016 | 435 | 397 | |||
| Vision 20/20: Magnetic resonance imaging-guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities | Medical physics | 2016 | 531 | 459 | |||
| Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach | Medical image analysis | 2016 | 591 | 300 | |||
| One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI | European journal of nuclear medicine and molecular imaging | 2016 | 507 | 33 | |||
| Whole-body bone segmentation from MRI for PET/MRI attenuation correction using shape-based averaging | Medical physics | 2016 | 487 | 209 | |||
| Strategies for magnetic resonance imaging-guided attenuation correction in whole-body PET-MRI | 2016 | 436 | 161 | ||||
| Clinical Assessment of MR-Guided 3-Class and 4-Class Attenuation Correction in PET/MR | Molecular imaging and biology | 2015 | 669 | 2 | |||
| Monte Carlo-based assessment of the trade-off between spatial resolution, field-of-view and scattered radiation in the variable resolution X-ray CT scanner | Physica medica | 2015 | 562 | 1 | 
