IS
Shiri Lord, Isaac
| 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 | 72 | 122 | |||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | 2025 | 44 | 25 | |||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | 2025 | 86 | 51 | |||
| Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets : application to PET-based prediction of lung cancer subtypes | EJNMMI physics | 2025 | 27 | 17 | |||
| Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network | Forensic imaging | 2025 | 75 | 45 | |||
| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | 2025 | 46 | 102 | |||
| 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 | 53 | 63 | |||
| The image biomarker standardization initiative : standardized convolutional filters for reproducible radiomics and enhanced clinical insights | Radiology | 2024 | 151 | 0 | |||
| TMTV-Net : fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis | European journal of nuclear medicine and molecular imaging | 2024 | 78 | 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 | 92 | 167 | |||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | 2024 | 152 | 163 | |||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | 2024 | 83 | 240 | |||
| 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 | 84 | 50 | |||
| Segmentation-free outcome prediction from head and neck cancer PET/CT images : deep learning-based feature extraction from multi-angle maximum intensity projections (MA-MIPs) | Cancers | 2024 | 85 | 188 | |||
| The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods | Annals of nuclear medicine | 2024 | 107 | 140 | |||
| 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 | 98 | 69 | |||
| PRIMIS : Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation | Journal of biomedical informatics | 2024 | 83 | 1 | |||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | 2024 | 123 | 95 | |||
| Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques : a phantom study | Medical & biological engineering & computing | 2024 | 85 | 34 | |||
| Theranostic digital twins : Concept, framework and roadmap towards personalized radiopharmaceutical therapies | Theranostics | 2024 | 91 | 106 | |||
| Myocardial perfusion SPECT radiomic features reproducibility assessment : Impact of image reconstruction and harmonization | Medical physics | 2024 | 72 | 28 | |||
| 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 | 66 | 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 | 118 | 80 | |||
| Semi-supervised learning towards automated segmentation of PET images with limited annotations : application to lymphoma patients | Physical and Engineering Sciences in Medicine | 2024 | 77 | 0 | |||
| Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks | Zeitschrift für medizinische Physik | 2024 | 75 | 68 | |||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | 2024 | 178 | 79 | |||
| 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 | 86 | 44 | |||
| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | 2023 | 103 | 101 | |||
| The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging | Magnetic resonance imaging clinics of North America | 2023 | 85 | 3 | |||
| Multi-Scale Temporal Imaging: From Micro- and Meso- to Macro-scale-time Nuclear Medicine | PET clinics | 2023 | 205 | 0 | |||
| Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding | Clinical oncology | 2023 | 94 | 0 | |||
| Multimodality medical image analysis using radiomics and deep learning | 2023 | 685 | 2 | ||||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | 2023 | 114 | 37 | |||
| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | 2023 | 108 | 54 | |||
| A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information | European journal of nuclear medicine and molecular imaging | 2023 | 247 | 53 | |||
| 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 | 74 | 70 | |||
| Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | 2023 | 78 | 28 | |||
| Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features | Quantitative imaging in medicine and surgery | 2023 | 133 | 325 | |||
| 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 | 154 | 56 | |||
| 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 | 188 | 299 | |||
| Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics | La Radiologia medica | 2023 | 109 | 97 | |||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | 2023 | 150 | 224 | |||
| Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition | Journal of digital imaging | 2022 | 167 | 80 | |||
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | 2022 | 193 | 140 | |||
| 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 | 308 | 214 | |||
| 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 | 224 | 218 | |||
| Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | 2022 | 161 | 138 | |||
| [18F]FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications | Seminars in nuclear medicine | 2022 | 347 | 352 | |||
| 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 | 205 | 234 | |||
| Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy | Computers in biology and medicine | 2022 | 215 | 0 | |||
| Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics | Computers in biology and medicine | 2022 | 179 | 66 | |||
| 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 | 249 | 160 | |||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | 2022 | 255 | 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 | 307 | 175 | |||
| Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness | Journal of digital imaging | 2022 | 210 | 0 | |||
| Synergistic impact of motion and acquisition/reconstruction parameters on 18F-FDG PET radiomic features in non-small cell lung cancer: Phantom and clinical studies | Medical physics | 2022 | 142 | 121 | |||
| Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection | Computers in biology and medicine | 2022 | 277 | 298 | |||
| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging | Insights into imaging | 2021 | 215 | 317 | |||
| Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer | Medical Physics | 2021 | 228 | 0 | |||
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | 2021 | 388 | 183 | |||
| Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms | Clinical Nuclear Medicine | 2021 | 215 | 0 | |||
| Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients | Computers in Biology and Medicine | 2021 | 318 | 169 | |||
| Automatic fetal biometry prediction using a novel deep convolutional network architecture | Physica Medica | 2021 | 218 | 1 | |||
| Whole-body voxel-based internal dosimetry using deep learning | European Journal of Nuclear Medicine and Molecular Imaging | 2021 | 341 | 216 | |||
| Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study | Journal of Nuclear Cardiology | 2021 | 334 | 0 | |||
| Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks | Journal of Nuclear Cardiology | 2021 | 308 | 0 | |||
| Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging | European Journal of Nuclear Medicine and Molecular Imaging | 2021 | 331 | 243 | |||
| Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information | Journal of Digital Imaging | 2021 | 257 | 184 | |||
| 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 | 232 | 181 | |||
| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | 2021 | 291 | 284 | |||
| Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma | Physics in medicine and biology | 2021 | 251 | 0 | |||
| Non-Small Cell Lung Carcinoma Histopathological Subtype Phenotyping using High-Dimensional Multinomial Multiclass CT Radiomics Signature | Computers in Biology and Medicine | 2021 | 222 | 279 | |||
| Artificial intelligence-driven assessment of radiological images for COVID-19 | Computers in Biology and Medicine | 2021 | 223 | 448 | |||
| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms | NeuroImage | 2021 | 215 | 120 | |||
| Deep learning-based Auto-segmentation of Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer | Radiotherapy and Oncology | 2021 | 204 | 0 | |||
| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | 2021 | 210 | 198 | |||
| Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms | Molecular Imaging and Biology | 2020 | 276 | 0 | |||
| Radiomics for classification of bone mineral loss: A machine learning study | Diagnostic and Interventional Imaging | 2020 | 336 | 485 | |||
| A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR-associated proteins for early detection and treatment of SARS-CoV-2 disease | Nuclear Medicine Communications | 2020 | 339 | 287 | |||
| 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 | 281 | 0 | |||
| Low Dose Radiation Therapy and Convalescent Plasma: How a Hybrid Method May Maximize Benefits for COVID-19 Patients | Journal of Biomedical Physics and Engineering | 2020 | 373 | 200 | |||
| Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning | La Radiologia Medica | 2020 | 365 | 1 | |||
| Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test-retest and image registration analyses | Medical Physics | 2020 | 301 | 1 | |||
| 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 | 256 | 0 |
