MA
Amini, Mehdi
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Design and geometry optimization of a dual-panel prostate dedicated PET scanner | Physics in medicine and biology |  | 2026 | 2 | 4 | ||
| A compact depth-of-interaction time-of-flight detector panel dedicated for organ-specific PET scanner | Physics in medicine and biology | | 2026 | 8 | 38 | ||
| Deep learning-based restoration of PET images from a dual-panel breast dedicated scanner | Zeitschrift für medizinische Physik | | 2026 | 9 | 94 | ||
| Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner | Medical physics | | 2026 | 11 | 10 | ||
| 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 | 71 | 102 | ||
| 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 | 8 | 93 | ||
| MetaPredictomics : A Comprehensive Approach to Predict Postsurgical Non-Small Cell Lung Cancer Recurrence Using Clinicopathologic, Radiomics, and Organomics Data | Clinical nuclear medicine | | 2025 | 25 | 231 | ||
| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | | 2025 | 44 | 87 | ||
| 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 | 91 | 153 | ||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | 2024 | 81 | 183 | ||
| Explainable AI for automated respiratory misalignment detection in PET/CT imaging | Physics in medicine and biology | | 2024 | 71 | 50 | ||
| 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 | 64 | 56 | ||
| 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 | 117 | 77 | ||
| The quest for multifunctional and dedicated PET instrumentation with irregular geometries | Annals of nuclear medicine | | 2024 | 76 | 331 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 176 | 74 | ||
| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | | 2023 | 101 | 98 | ||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | | 2023 | 113 | 35 | ||
| Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study | Journal of digital imaging | | 2023 | 71 | 68 | ||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | 2023 | 148 | 186 | ||
| Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition | Journal of digital imaging | | 2022 | 166 | 79 | ||
| Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | | 2022 | 159 | 129 | ||
| 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 | 203 | 217 | ||
| Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics features: the quest for the optimal machine learning algorithm | Clinical oncology | | 2022 | 248 | 151 | ||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine |  | 2022 | 254 | 2 | ||
| Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information | Journal of Digital Imaging | | 2021 | 256 | 173 | ||
| Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma | Physics in medicine and biology | | 2021 | 249 | 0 |
