Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients-Reference-Cited by-同舟云学术

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Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients

Published:2023-01 Issue: Volume: Page:
ISSN:0939-3889
Container-title:Zeitschrift für Medizinische Physik
language:en
Short-container-title:Zeitschrift für Medizinische Physik

Author:

Zatcepin Artem,Kopczak Anna,Holzgreve Adrien,Hein Sandra,Schindler Andreas,Duering Marco,Kaiser Lena,Lindner Simon,Schidlowski Martin,Bartenstein Peter,Albert Nathalie,Brendel Matthias,Ziegler Sibylle I.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Biophysics

Reference51 articles.

1. Ischaemic stroke;Campbell;Nat Rev Dis Primers,2019

2. Microglia protect against brain injury and their selective elimination dysregulates neuronal network activity after stroke;Szalay;Nat Commun,2016

3. Complement and microglia mediate early synapse loss in Alzheimer mouse models;Hong;Science,2016

4. Imaging microglial activation with TSPO PET: lighting up neurologic diseases?;Vivash;J Nucl Med,2016

5. Neuroinflammatory responses in experimental and human stroke lesions;Wimmer;J Neuroimmunol,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in medical physics;Zeitschrift für Medizinische Physik;2024-05

2. A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke;Frontiers in Neurology;2024-03-28

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