Results 1 to 10 of about 89,335 (330)
ERJ Open Research, 2022 Purpose In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community ...
Akshayaa Vaidyanathan +14 more
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Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography
Frontiers in Oncology, 2022 Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels.
Yanqiu Liu +15 more
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Robust imaging habitat computation using voxel-wise radiomics features
Scientific Reports, 2021 Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-wise features and aggregating tumor ...
Kinga Bernatowicz +5 more
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Frontiers in Oncology, 2021 Cerenkov luminescence tomography (CLT) is a promising non-invasive optical imaging method with three-dimensional semiquantitative in vivo imaging capability.
Xiao Wei +12 more
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Insights into Imaging, 2023 The workflow of radiomics is complex with several methodological steps and nuances, which often leads to inadequate reproducibility, reporting, and evaluation.
B. Koçak +12 more
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Scientific Reports, 2023 The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer.
Ralph T. H. Leijenaar +15 more
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Military Medical Research, 2023 Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’ anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians.
Yuanpeng Zhang +13 more
semanticscholar +1 more source
Frontiers in Oncology, 2022 X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality in optical molecular imaging, which has attracted more attention and has been widely studied. In XLCT, the accuracy and operational efficiency of an optical transmission
Yanqiu Liu +11 more
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. [PDF]
Radiology, 2016 Background Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference values have hampered clinical use.
A. Zwanenburg +62 more
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Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy
Scientific Reports, 2022 Quantitative muscle MRI (water-T2 and fat mapping) is being increasingly used to assess disease involvement in muscle disorders, while imaging techniques for assessment of the dynamic and elastic muscle properties have not yet been translated into ...
Xeni Deligianni +11 more
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