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Salimi, Yazdan
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| 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 | 44 | 18 | ||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | 2025 | 26 | 12 | ||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | 2025 | 58 | 16 | ||
| Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network | Forensic imaging | | 2025 | 41 | 21 | ||
| 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 | 11 | 8 | ||
| AI-Powered Innovations in Medical Imaging: Enhancing Accuracy, Safety, and Personalized Treatment in diagnostic and theragnostic Imaging | | 2025 | 70 | 117 | |||
| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | | 2025 | 29 | 10 | ||
| 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 | 31 | 13 | ||
| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | 2025 | 25 | 22 | ||
| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology |  | 2025 | 40 | 0 | ||
| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | | 2025 | 22 | 18 | ||
| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | | 2025 | 17 | 0 | ||
| 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 | 58 | 39 | ||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | 2024 | 121 | 51 | ||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | 2024 | 52 | 36 | ||
| 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 | 60 | 21 | ||
| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | 2024 | 40 | 58 | ||
| 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 | 82 | 19 | ||
| Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET | EJNMMI physics | | 2024 | 68 | 13 | ||
| 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 | 72 | 26 | ||
| An efficient dual-domain deep learning network for sparse-view CT reconstruction | Computer methods and programs in biomedicine | | 2024 | 92 | 23 | ||
| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | 2024 | 45 | 26 | ||
| PRIMIS : Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation | Journal of biomedical informatics | | 2024 | 61 | 0 | ||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | 2024 | 89 | 45 | ||
| 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 | 52 | 28 | ||
| 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 | 92 | 51 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 134 | 39 | ||
| 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 | 68 | 29 | ||
| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | | 2023 | 80 | 44 | ||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | | 2023 | 103 | 14 | ||
| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | | 2023 | 89 | 21 | ||
| A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information | European Journal of Nuclear Medicine and Molecular Imaging | | 2023 | 215 | 41 | ||
| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | 2023 | 80 | 21 | ||
| 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 | 128 | 28 | ||
| 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 | 157 | 160 | ||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | 2023 | 124 | 86 | ||
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | | 2022 | 165 | 76 | ||
| 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 | 279 | 137 | ||
| 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 | 193 | 81 | ||
| An update on computational anthropomorphic anatomical models | Digital health | | 2022 | 124 | 125 | ||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | 2022 | 225 | 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 | 279 | 122 | ||
| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | | 2021 | 197 | 126 | ||
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | 2021 | 356 | 125 | ||
| 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 | 210 | 77 | ||
| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | | 2021 | 184 | 147 |
