Convolutional neural networks for radiologic images: a radiologist's guide

S Soffer, A Ben-Cohen, O Shimon, MM Amitai… - Radiology, 2019 - pubs.rsna.org
Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …

Artificial intelligence and stroke imaging: a west coast perspective

G Zhu, B Jiang, H Chen, E Tong… - Neuroimaging …, 2020 - neuroimaging.theclinics.com
Artificial intelligence (AI) is a branch of computer science that has seen dramatic
developments in the past couple years, and these AI advancements have significant …

Detection of intracranial hypertension using deep learning

B Quachtran, R Hamilton… - 2016 23rd international …, 2016 - ieeexplore.ieee.org
Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is
typically monitored in neurointensive care and diagnosed only after elevation has occurred …

Artificial intelligence in stroke care: Deep learning or superficial insight?

DS Liebeskind - EBioMedicine, 2018 - thelancet.com
The concept of artificial intelligence (AI) has recently permeated almost every sector of daily
life, including the rapidly evolving technologies and datasets of health care delivery. Each …

Stroke lesion segmentation with visual cortex anatomy alike neural nets

C Li - arXiv preprint arXiv:2105.06544, 2021 - arxiv.org
Cerebrovascular accident, or commonly known as stroke, is an acute disease with extreme
impact on patients and healthcare systems and is the second largest cause of death …

Vessel detection on cerebral angiograms using convolutional neural networks

Y Fu, J Fang, B Quachtran, N Chachkhiani… - Advances in Visual …, 2016 - Springer
Blood-vessel segmentation in cerebral angiograms is a valuable tool for medical diagnosis.
However, manual blood-vessel segmentation is a time consuming process that requires …

Automated diagnosis and prediction in cardiovascular diseases using tomographic imaging

L Duff, C Tsoumpas - Big Data in Multimodal Medical Imaging …, 2019 - api.taylorfrancis.com
Medical imaging is well established in clinical routine to help diagnose and monitor a range
of conditions. Medical images are often evaluated qualitatively so the amount of data …

Deep Learning: Verbesserung des Arterial Spin Labelings

P Martirosian - RöFo-Fortschritte auf dem Gebiet der …, 2019 - thieme-connect.com
Trotz neuester technischer Entwicklungen mangelt es beim Arterial Spin Labeling (ASL)
noch immer an Sensitivität, Robustheit und einer für die klinische Anwendung brauchbaren …

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography

E Agbayani, B Jia, G Woolf, D Liebeskind… - Advances in Visual …, 2016 - Springer
Collateral flow has been shown to have positive effects in ischemic intracranial vessel
disease and can compensate for moderate stenosis and even complete occlusion of a major …