Exosomes as bio-inspired nanocarriers for RNA delivery: preparation and applications
A Amiri, R Bagherifar, E Ansari Dezfouli… - Journal of Translational …, 2022 - Springer
Nanocarriers as drug/biomolecule delivery systems have been significantly developed
during recent decades. Given the stability, reasonable delivery efficiency, and safety of …
during recent decades. Given the stability, reasonable delivery efficiency, and safety of …
Bone‐a‐petite: engineering exosomes towards bone, osteochondral, and cartilage repair
Recovery from bone, osteochondral, and cartilage injuries/diseases has been burdensome
owing to the damaged vasculature of large defects and/or avascular nature of cartilage …
owing to the damaged vasculature of large defects and/or avascular nature of cartilage …
[HTML][HTML] A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans
Acute Intracranial hemorrhage (ICH) is a life-threatening disease that requires emergency
medical attention, which is routinely diagnosed using non-contrast head CT imaging. The …
medical attention, which is routinely diagnosed using non-contrast head CT imaging. The …
Accurate and efficient intracranial hemorrhage detection and subtype classification in 3D CT scans with convolutional and long short-term memory neural networks
In this paper, we present our system for the RSNA Intracranial Hemorrhage Detection
challenge, which is based on the RSNA 2019 Brain CT Hemorrhage dataset. The proposed …
challenge, which is based on the RSNA 2019 Brain CT Hemorrhage dataset. The proposed …
Apixaban versus no anticoagulation after anticoagulation-associated intracerebral haemorrhage in patients with atrial fibrillation in the Netherlands (APACHE-AF): a …
FHBM Schreuder, KM van Nieuwenhuizen… - The Lancet …, 2021 - thelancet.com
Background In patients with atrial fibrillation who survive an anticoagulation-associated
intracerebral haemorrhage, a decision must be made as to whether restarting or …
intracerebral haemorrhage, a decision must be made as to whether restarting or …
Neuroimaging and deep learning for brain stroke detection-A review of recent advancements and future prospects
Background and objective In recent years, deep learning algorithms have created a massive
impact on addressing research challenges in different domains. The medical field also …
impact on addressing research challenges in different domains. The medical field also …
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
This project aimed to develop and evaluate a fast and fully-automated deep-learning
method applying convolutional neural networks with deep supervision (CNN-DS) for …
method applying convolutional neural networks with deep supervision (CNN-DS) for …
Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: A systematic review and pooled analysis
Background Artificial intelligence (AI)-driven software has been developed and become
commercially available within the past few years for the detection of intracranial hemorrhage …
commercially available within the past few years for the detection of intracranial hemorrhage …
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Abstract Traumatic Brain Injury (TBI) could lead to intracranial hemorrhage (ICH), which has
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema
Objectives To evaluate for the first time the performance of a deep learning method based
on no-new-Net for fully automated segmentation and volumetric measurements of …
on no-new-Net for fully automated segmentation and volumetric measurements of …