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220822 ||| eng |
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|a books978-3-0365-2109-1
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|a 9783036521107
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|a 9783036521091
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1 |
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|a de Jong, Pim A.
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|a Systems Radiology and Personalized Medicine
|h Elektronische Ressource
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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300 |
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|a 1 electronic resource (180 p.)
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|a risk factors
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|a computational fluid dynamics
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|a [124I]mIBG
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|a adiposity
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|a spondylodiscitis
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|a n/a
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|a white blood cell scintigraphy
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|a FDG-PET
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|a intra-abdominal fat
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|a FDG-PET/CT
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|a MRI
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|a deep learning
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|a contrast media
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|a [18F]FDG
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|a chest X-ray
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|a QFlow
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|a rupture
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|a imaging
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|a large vessel vasculitis
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|a [11C]mHED
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|a radionuclide imaging
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|a [68Ga]Ga-DOTA peptides
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|a infection
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|a diffuse idiopathic skeletal hyperostosis
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|a cardiorenal syndrome
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|a body composition
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|a TRANCE
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|a [18F]F-DOPA
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|a COVID-19
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|a reliability
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|a bloodstream infection
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|a non-contrast
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|a tissue characterization
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|a morphological
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|a [18F]mFBG
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|a atherosclerosis
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|a image analysis
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|a total body PET/CT
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|a calcification pattern
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|a chronic limb-threatening ischemia
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|a cerebral aneurysm
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|a osteoarthritis
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|a radiotracers
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|a vascular graft infection
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|a [123I]mIBG
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|a Grad-CAM
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|a cyst infection
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|a neuroblastoma
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|a artificial intelligence
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|a nuclear medicine
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|a computed tomography
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|a venography
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|a convolutional neural network
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|a endocarditis
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|a imaging biomarker
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|a hemodynamic
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|a peripheral arterial disease
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|a Medicine and Nursing / bicssc
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|a radiological imaging
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700 |
1 |
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|a Foppen, Wouter
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700 |
1 |
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|a Tolboom, Nelleke
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700 |
1 |
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|a de Jong, Pim A.
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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028 |
5 |
0 |
|a 10.3390/books978-3-0365-2109-1
|
856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76914
|z DOAB: description of the publication
|
856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/4384
|7 0
|x Verlag
|3 Volltext
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|a 000
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|a 610
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|a 333
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|a 700
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|a Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on "Systems Radiology and Personalized Medicine" includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.
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