[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications
R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
[HTML][HTML] Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data …
A Barragán-Montero, A Bibal… - Physics in Medicine …, 2022 - iopscience.iop.org
The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …
the performance leap that occurred with new techniques of deep learning, convolutional …
Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer
MR Salmanpour, M Hosseinzadeh, SM Rezaeijo… - Computer Methods and …, 2023 - Elsevier
Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
[HTML][HTML] METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Purpose To propose a new quality scoring tool, METhodological RadiomICs Score
(METRICS), to assess and improve research quality of radiomics studies. Methods We …
(METRICS), to assess and improve research quality of radiomics studies. Methods We …
[HTML][HTML] Quantitative classification and radiomics of [18F]FDG-PET/CT in indeterminate thyroid nodules
EJ de Koster, WA Noortman, JM Mostert, J Booij… - European journal of …, 2022 - Springer
Purpose To evaluate whether quantitative [18F] FDG-PET/CT assessment, including
radiomic analysis of [18F] FDG-positive thyroid nodules, improved the preoperative …
radiomic analysis of [18F] FDG-positive thyroid nodules, improved the preoperative …
18F-FDOPA PET for the noninvasive prediction of glioma molecular parameters: a radiomics study
The assessment of gliomas by 18F-FDOPA PET imaging as an adjunct to MRI showed high
performance by combining static and dynamic features to noninvasively predict the isocitrate …
performance by combining static and dynamic features to noninvasively predict the isocitrate …
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
[HTML][HTML] Radiomics and Artificial Intelligence in Radiotheranostics: a review of applications for Radioligands Targeting somatostatin receptors and prostate-specific …
E Yazdani, P Geramifar, N Karamzade-Ziarati… - Diagnostics, 2024 - mdpi.com
Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …
[HTML][HTML] Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation …
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
AI-based detection, classification and prediction/prognosis in medical imaging: towards radiophenomics
The task of clinical interpretation of medical images starts with the scanning of the presented
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …