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Kidney & Blood Pressure Research|January 1, 1997
Urinary calcium excretion and renal calbindin-D28kC Hemmingsen, M Staun, K Meibom, et al.
European Journal of Radiology|March 16, 2020
Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating studyNoriyuki Fujima, V Carlota Andreu-Arasa, Sara K Meibom, et al.
Clinical Radiology|May 3, 2021
Prediction of the treatment outcome using machine learning with FDG-PET image-based multiparametric approach in patients with oral cavity squamous cell carcinomaN Fujima, V C Andreu-Arasa, S K Meibom, et al.
European Radiology|June 12, 2020
Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinomaNoriyuki Fujima, V Carlota Andreu-Arasa, Sara K Meibom, et al.
AJNR. American Journal of Neuroradiology|February 23, 2019
CT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell CarcinomaH Kuno, N Garg, M M Qureshi, et al.
European Journal of Radiology|October 5, 2020
Risk assessment of osteoradionecrosis associated with periodontitis using 18F-FDG PET/CTKotaro Ito, Koji Takumi, Sara K Meibom, et al.
BMC Cancer|August 7, 2021
Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET imagesNoriyuki Fujima, V Carlota Andreu-Arasa, Sara K Meibom, et al.
Magnetic Resonance in Medicine|May 21, 2005
Noninvasive mapping of regional response to segmental allergen challenge using magnetic resonance imaging and [F-18]fluorodeoxyglucose positron emission tomographyJames H Holmes, Ronald L Sorkness, Sara K Meibom, et al.
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