MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI
A Vupputuri, A Gupta, N Ghosh - Computers in Biology and Medicine, 2021 - Elsevier
Background and objective Accurate and timely treatment of ischemic stroke can restore the
blood flow in the affected area and reduce the risk of disability and death. Identification and …
blood flow in the affected area and reduce the risk of disability and death. Identification and …
Delineation of ischemic core and penumbra volumes from mri using msnet architecture
A Gupta, A Vupputuri, N Ghosh - 2019 41st annual …, 2019 - ieeexplore.ieee.org
Medical image analysis tasks like segmentation and detection of injury involving manual
interventions usually suffers from high inter-observer variabilities. To carry them out …
interventions usually suffers from high inter-observer variabilities. To carry them out …
[HTML][HTML] Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
Background and purpose MRI images timely and accurately reflect ischemic injuries to the
brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke …
brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke …
Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images
Predicting infarct volume from magnetic resonance perfusion-weighted imaging can provide
helpful information to clinicians in deciding how aggressively to treat acute stroke patients …
helpful information to clinicians in deciding how aggressively to treat acute stroke patients …
Abstract WP41: Predicting acute ischemic stroke tissue fate using deep learning on source perfusion MRI
Introduction: Perfusion MR and CT parameters are widely used during the assessment of
acute ischemic strokes to evaluate the likely lesion growth. However, such perfusion …
acute ischemic strokes to evaluate the likely lesion growth. However, such perfusion …
Stroke lesion segmentation with 2D novel CNN pipeline and novel loss function
P Liu - Brainlesion: Glioma, Multiple Sclerosis, Stroke and …, 2019 - Springer
Recently, CT perfusion (CTP) has been used to triage ischemic stroke patients in the early
stage, because of its speed, availability, and lack of contraindications. But CTP data alone …
stage, because of its speed, availability, and lack of contraindications. But CTP data alone …
[HTML][HTML] Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
Abstract The use of Computed Tomography (CT) imaging for patients with stroke symptoms
is an essential step for triaging and diagnosis in many hospitals. However, the subtle …
is an essential step for triaging and diagnosis in many hospitals. However, the subtle …
CT-To-MR conditional generative adversarial networks for ischemic stroke lesion segmentation
J Rubin, SM Abulnaga - 2019 IEEE International conference on …, 2019 - ieeexplore.ieee.org
Infarcted brain tissue resulting from acute stroke readily shows up as hyperintense regions
within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed that …
within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed that …
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (CTP) images
is important for accurate diagnosis of stroke in acute care units. However, it is challenged by …
is important for accurate diagnosis of stroke in acute care units. However, it is challenged by …
Deep Learning‐Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects
B Zhao, Z Liu, G Liu, C Cao, S Jin… - … Methods in Medicine, 2021 - Wiley Online Library
Acute ischemic stroke (AIS) has been a common threat to human health and may lead to
severe outcomes without proper and prompt treatment. To precisely diagnose AIS, it is of …
severe outcomes without proper and prompt treatment. To precisely diagnose AIS, it is of …