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 | 70 | 84 | ||
| Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images | Physica medica | | 2025 | 40 | 22 | ||
| Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images | Clinical nuclear medicine | | 2025 | 84 | 37 | ||
| 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 | 25 | 16 | ||
| Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network | Forensic imaging | | 2025 | 74 | 39 | ||
| Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging | Molecular imaging and biology | | 2025 | 43 | 69 | ||
| 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 | 51 | 56 | ||
| The image biomarker standardization initiative : standardized convolutional filters for reproducible radiomics and enhanced clinical insights | Radiology |  | 2024 | 148 | 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 | 73 | 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 | 91 | 132 | ||
| Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning | Medical physics | | 2024 | 151 | 127 | ||
| Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans | Clinical nuclear medicine | | 2024 | 80 | 147 | ||
| 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 | ||
| 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 | 78 | 155 | ||
| The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods | Annals of nuclear medicine | | 2024 | 104 | 114 | ||
| 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 | 49 | ||
| PRIMIS : Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation | Journal of biomedical informatics | | 2024 | 80 | 1 | ||
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset | Medical physics | | 2024 | 120 | 80 | ||
| 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 | 78 | 30 | ||
| Theranostic digital twins : Concept, framework and roadmap towards personalized radiopharmaceutical therapies | Theranostics | | 2024 | 87 | 100 | ||
| Myocardial perfusion SPECT radiomic features reproducibility assessment : Impact of image reconstruction and harmonization | Medical physics | | 2024 | 69 | 27 | ||
| 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 | 51 | ||
| 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 | 75 | ||
| Semi-supervised learning towards automated segmentation of PET images with limited annotations : application to lymphoma patients | Physical and Engineering Sciences in Medicine | | 2024 | 74 | 0 | ||
| Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks | Zeitschrift für medizinische Physik | | 2024 | 70 | 58 | ||
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images | Medical physics | | 2024 | 176 | 71 | ||
| 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 | 82 | 42 | ||
| Multi-institutional PET/CT image segmentation using federated deep transformer learning | Computer methods and programs in biomedicine | | 2023 | 101 | 90 | ||
| The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging | Magnetic resonance imaging clinics of North America | | 2023 | 82 | 3 | ||
| Multi-Scale Temporal Imaging: From Micro- and Meso- to Macro-scale-time Nuclear Medicine | PET clinics | | 2023 | 201 | 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 | 91 | 0 | ||
| Multimodality medical image analysis using radiomics and deep learning |  | 2023 | 613 | 2 | |||
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study | Scientific reports | | 2023 | 111 | 21 | ||
| Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance | Clinical nuclear medicine | | 2023 | 105 | 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 | 245 | 51 | ||
| 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 | 70 | 58 | ||
| Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | | 2023 | 76 | 27 | ||
| Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features | Quantitative imaging in medicine and surgery | | 2023 | 129 | 275 | ||
| 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 | 48 | ||
| 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 | 268 | ||
| Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics | La Radiologia medica | | 2023 | 106 | 92 | ||
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning | European journal of nuclear medicine and molecular imaging | | 2023 | 148 | 166 | ||
| Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition | Journal of digital imaging | | 2022 | 164 | 75 | ||
| High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms | Scientific reports | | 2022 | 189 | 125 | ||
| 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 | 176 | ||
| 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 | 174 | ||
| Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms | Journal of digital imaging | | 2022 | 156 | 115 | ||
| [18F]FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications | Seminars in nuclear medicine | | 2022 | 340 | 292 | ||
| 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 | 202 | 190 | ||
| Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy | Computers in biology and medicine | | 2022 | 211 | 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 | 177 | 61 | ||
| 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 | 247 | 145 | ||
| Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework | Clinical nuclear medicine | | 2022 | 253 | 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 | 158 | ||
| Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness | Journal of digital imaging | | 2022 | 206 | 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 | 141 | 97 | ||
| Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection | Computers in biology and medicine | | 2022 | 275 | 254 | ||
| 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 | 258 | ||
| Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer | Medical Physics | | 2021 | 226 | 0 | ||
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network | European Radiology | | 2021 | 384 | 160 | ||
| Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms | Clinical Nuclear Medicine | | 2021 | 211 | 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 | 314 | 139 | ||
| Automatic fetal biometry prediction using a novel deep convolutional network architecture | Physica Medica | | 2021 | 215 | 1 | ||
| Whole-body voxel-based internal dosimetry using deep learning | European Journal of Nuclear Medicine and Molecular Imaging | | 2021 | 337 | 213 | ||
| Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study | Journal of Nuclear Cardiology | | 2021 | 329 | 0 | ||
| Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks | Journal of Nuclear Cardiology | | 2021 | 304 | 0 | ||
| Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging | European Journal of Nuclear Medicine and Molecular Imaging | | 2021 | 328 | 193 | ||
| Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information | Journal of Digital Imaging | | 2021 | 255 | 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 | 149 | ||
| The promise of artificial intelligence and deep learning in PET and SPECT imaging | Physica Medica | | 2021 | 281 | 267 | ||
| Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma | Physics in medicine and biology | | 2021 | 247 | 0 | ||
| Non-Small Cell Lung Carcinoma Histopathological Subtype Phenotyping using High-Dimensional Multinomial Multiclass CT Radiomics Signature | Computers in Biology and Medicine | | 2021 | 220 | 224 | ||
| Artificial intelligence-driven assessment of radiological images for COVID-19 | Computers in Biology and Medicine | | 2021 | 219 | 426 | ||
| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms | NeuroImage | | 2021 | 212 | 117 | ||
| Deep learning-based Auto-segmentation of Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer | Radiotherapy and Oncology | | 2021 | 202 | 0 | ||
| Personalized brachytherapy dose reconstruction using deep learning | Computers in Biology and Medicine | | 2021 | 208 | 187 | ||
| 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 | 272 | 0 | ||
| Radiomics for classification of bone mineral loss: A machine learning study | Diagnostic and Interventional Imaging | | 2020 | 334 | 446 | ||
| 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 | 334 | 269 | ||
| 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 | 272 | 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 | 371 | 185 | ||
| Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning | La Radiologia Medica | | 2020 | 363 | 1 | ||
| Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test-retest and image registration analyses | Medical Physics | | 2020 | 297 | 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 | 253 | 0 |
