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(1 - 20 of 37)

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Relation between WHO classification and location- and functionality-based classifications of neuroendocrine neoplasms of the digestive tract
Defining migraine days, based on longitudinal E-diary data
The aftermath of acute pulmonary embolism
Multimodal MRI-based classification of Alzheimer’s disease
Summary: international consensus statement on nomenclature and classification of the congenital bicuspid aortic valve and its aortopathy, for clinical, surgical, interventional and research purposes
Summary: International consensus statement on nomenclature and classification of the congenital bicuspid aortic valve and its aortopathy, for clinical, surgical, interventional, and research purposes
International consensus statement on nomenclature and classification of the congenital bicuspid aortic valve and its aortopathy, for clinical, surgical, interventional and research purposes
Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors
Neuroimaging biomarkers in genetic frontotemporal dementia : towards a timely diagnosis
The spectrum of polypoidal choroidal vasculopathy in Caucasians
Diagnosis of central disorders of hypersomnolence: a reappraisal by European experts
Measuring functional limitations after venous thromboembolism
EURACAN/IASLC proposals for updating the histologic classification of pleural mesothelioma
Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Measuring functional limitations after venous thromboembolism: A call to action
Retinal oximetry: Metabolic imaging for diseases of the retina and brain
Pseudotumor in metal-on-metal hip arthroplasty: a comparison study of three grading systems with MRI
Blood classification and blood response criteria in mycosis fungoides and Sezary syndrome using flow cytometry: recommendations from the EORTC cutaneous lymphoma task force
A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease

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