Results 11 to 20 of about 43,555 (263)
대한영상의학회지, 2021 The objective assessment of atrophy and the measurement of brain volume is important in the early diagnosis of dementia and neurodegenerative diseases. Recently, several MR-based volumetry software have been developed.
Ji Young Lee +4 more
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Artificial intelligence in neuroradiology: a scoping review of some ethical challenges
Frontiers in Radiology, 2023 Artificial intelligence (AI) has great potential to increase accuracy and efficiency in many aspects of neuroradiology. It provides substantial opportunities for insights into brain pathophysiology, developing models to determine treatment decisions, and
Pegah Khosravi, Mark Schweitzer
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Neuroradiology Back to the Future: Brain Imaging [PDF]
American Journal of Neuroradiology, 2011 The beginning of neuroradiology can be traced to the early 1900s with the use of skull radiographs. Ventriculography and pneumoencephalography were introduced in 1918 and 1919, respectively, and carotid angiography, in 1927. Technical advances were made in these procedures during the next 40 years that lead to improved diagnosis of intracranial ...
E G, Hoeffner +3 more
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Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges
Diagnostics, 2023 There is an expanding body of literature that describes the application of deep learning and other machine learning and artificial intelligence methods with potential relevance to neuroradiology practice. In this article, we performed a literature review
Daniel T. Wagner +12 more
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Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging [PDF]
, 2023 BACKGROUND AND PURPOSE: Automatic brain parcellation is typically performed on dedicated MR imaging sequences, which require valuable examination time.
Tisell, Anders, +5 more
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Frontiers in Neurology, 2022 Purpose:Hypertrophic olivary degeneration (HOD) is a pathology of the inferior olivary nucleus (ION) that occurs after injuries to the Guillain-Mollaret triangle (GMT). Lacking a diagnostic gold standard, diagnosis is usually based on T2 or FLAIR imaging
Eike Steidl +8 more
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Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images [PDF]
, 2021 Background and purpose: Differentiating glioblastoma from solitary brain metastasis preoperatively using conventional MR images is challenging. Deep learning models have shown promise in performing classification tasks.
김휘영 +4 more
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Clinical and Angiographic Imaging Features of Isolated Cortical Venous Thrombosis
Stroke: Vascular and Interventional Neurology, 2022 Background Cerebral venous thrombosis usually presents as dural sinus thrombosis. More rarely, it occurs in an isolated form (isolated cortical vein thrombosis; ICoVT).
Krishna Amuluru +8 more
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Adaptive statistical iterative reconstruction reduces patient radiation dose in neuroradiology CT studies. [PDF]
, 2014 INTRODUCTION: Adaptive statistical iterative reconstruction (ASIR) can decrease image noise, thereby generating CT images of comparable diagnostic quality with less radiation.
Komlosi, P. +7 more
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CSF Circulation and Congenital Hydrocephalus
Pediatric Neurology Briefs, 1997 A new model of the cerebrospinal fluid (CSF) circulation, involving brain capillaries as the main site of CSF absorption, is proposed from the Karolinska MR Research Center and Department of Neuroradiology, Karolinska Hospital, Stockholm, Sweden.
J Gordon Millichap
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