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 …

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 …

[HTML][HTML] Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images

YC Wei, WY Huang, CY Jian, CCH Hsu, CC Hsu… - NeuroImage: Clinical, 2022 - Elsevier
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 …

Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images

KC Ho, F Scalzo, KV Sarma, W Speier… - Journal of Medical …, 2019 - spiedigitallibrary.org
Predicting infarct volume from magnetic resonance perfusion-weighted imaging can provide
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

KC Ho, S El-Saden, F Scalzo, AA Bui, CW Arnold - Stroke, 2016 - Am Heart Assoc
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 …

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 …

[HTML][HTML] Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks

A Clerigues, S Valverde, J Bernal, J Freixenet… - Computers in biology …, 2019 - Elsevier
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 …

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 …

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks

G Wang, T Song, Q Dong, M Cui, N Huang… - Medical Image …, 2020 - Elsevier
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 …

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 …