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Salimi, Yazdan
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT | Annals of nuclear medicine |  | 2026 | 15 | 70 | ||
| Artificial Intelligence for Simplified Patient-centered Dosimetry in Radiopharmaceutical Therapies | PET clinics |  | 2026 | 7 | 0 | ||
| Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner | Medical physics | | 2026 | 8 | 5 | ||
| Evaluation of end-to-end 3D absorbed dose distribution in 90Y-SIRT and SBRT combination therapy using MAGIC-f polymer gel dosimeter | European journal of nuclear medicine and molecular imaging | | 2025 | 24 | 85 | ||
| 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 | 70 | 70 | ||
| Performance Evaluation of the Time-of-Flight Biograph Vision.X : A Fast Coincidence Time Resolution PET/CT Scanner | IEEE transactions on radiation and plasma medical sciences | | 2025 | 1 | 5 | ||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | 2025 | 40 | 21 | ||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | 2025 | 84 | 35 | ||
| Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network | Forensic imaging | | 2025 | 73 | 36 | ||
| 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 | 34 | 40 | ||
| MetaPredictomics : A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics Data | Clinical nuclear medicine | | 2025 | 23 | 189 | ||
| AI-Powered Innovations in Medical Imaging: Enhancing Accuracy, Safety, and Personalized Treatment in diagnostic and theragnostic Imaging | | 2025 | 183 | 223 | |||
| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | | 2025 | 43 | 55 | ||
| Ultrafast Multi-tracer Total-body PET Imaging Using a Transformer-Based Deep Learning Model | Academic radiology | | 2025 | 18 | 76 | ||
| 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 | 50 | 54 | ||
| Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model | La Radiologia medica | | 2025 | 51 | 387 | ||
| Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans | Nuclear medicine and biology | | 2025 | 65 | 0 | ||
| Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following 90Y-SIRT | Molecular imaging and biology | | 2025 | 42 | 47 | ||
| Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET : A simulation study | Medical physics | | 2025 | 47 | 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 | 88 | 116 | ||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | 2024 | 149 | 104 | ||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | 2024 | 79 | 120 | ||
| 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 | 76 | 43 | ||
| Tracer-Separator : A Deep Learning Model for Brain PET Dual-Tracer (18F-FDG and Amyloid) Separation | Clinical nuclear medicine | | 2024 | 58 | 322 | ||
| 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 | 96 | 45 | ||
| Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET | EJNMMI physics | | 2024 | 107 | 89 | ||
| 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 | 121 | 58 | ||
| An efficient dual-domain deep learning network for sparse-view CT reconstruction | Computer methods and programs in biomedicine | | 2024 | 112 | 51 | ||
| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | 2024 | 68 | 43 | ||
| PRIMIS : Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation | Journal of biomedical informatics | | 2024 | 79 | 1 | ||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | 2024 | 120 | 79 | ||
| 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 | 63 | 41 | ||
| 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 | 116 | 73 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 175 | 65 | ||
| 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 | 80 | 42 | ||
| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | | 2023 | 100 | 81 | ||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | | 2023 | 111 | 20 | ||
| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | | 2023 | 104 | 44 | ||
| A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information | European Journal of Nuclear Medicine and Molecular Imaging | | 2023 | 243 | 48 | ||
| Predictive value of 99mTc-MAA-based dosimetry in personalized 90Y-SIRT planning for liver malignancies | EJNMMI research | | 2023 | 98 | 36 | ||
| 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 | 149 | 47 | ||
| 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 | 185 | 257 | ||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | 2023 | 147 | 160 | ||
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | | 2022 | 189 | 120 | ||
| 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 | 303 | 175 | ||
| 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 | 218 | 154 | ||
| An update on computational anthropomorphic anatomical models | Digital health | | 2022 | 154 | 173 | ||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | 2022 | 252 | 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 | 305 | 151 | ||
| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | | 2021 | 213 | 216 | ||
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | 2021 | 382 | 156 | ||
| 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 | 228 | 135 | ||
| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | | 2021 | 208 | 185 |
