Ischemic stroke lesion segmentation using mutation model and generative adversarial network
Ischemic stroke lesion segmentation using different types of images, such as Computed
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study
J Li, Z Yang, Z Sun, L Zhao, A Liu, X Wang, Q **… - BMC medical …, 2024 - Springer
Objective This study aims to assess the consistency of various CT-FFR software, to
determine the reliability of current CT-FFR software, and to measure relevant influence …
determine the reliability of current CT-FFR software, and to measure relevant influence …
Subject-specific probability maps of scalp, skull and cerebrospinal fluid for cranial bones segmentation in neonatal cerebral MRIs
Objectives Segmentation of cranial bones in magnetic resonance images (MRIs) is a
challenging and indispensable task to study neonatal brain development and injury. This …
challenging and indispensable task to study neonatal brain development and injury. This …
Accuracy of intravascular ultrasound-derived virtual fractional flow reserve (FFR) and FFR derived from computed tomography for functional assessment of coronary …
W Huang, J Zhang, L Yang, Y Hu, X Leng, Y Liu… - BioMedical Engineering …, 2023 - Springer
Background Coronary computed tomography-derived fractional flow reserve (CT-FFR) and
intravascular ultrasound-derived fractional flow reserve (IVUS-FFR) are two functional …
intravascular ultrasound-derived fractional flow reserve (IVUS-FFR) are two functional …
Development and internal validation of prediction model for rebleeding within one year after endoscopic treatment of cirrhotic varices: consideration from organ-based …
L Xu, J Zhang, S Liu, G He, J Shu - BMC Medical Imaging, 2024 - Springer
Background Rebleeding after endoscopic treatment for esophagogastric varices (EGVs) in
cirrhotic patients remains a significant clinical challenge, with high mortality rates and limited …
cirrhotic patients remains a significant clinical challenge, with high mortality rates and limited …
Paediatric skull growth models: A systematic review of applications to normal skulls and craniosynostoses
M Geoffroy, PM François, RH Khonsari… - Journal of Stomatology …, 2022 - Elsevier
Introduction Craniosynostoses affect 1/2000 births and their incidence is currently
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …
Quantitative morphological analysis framework of infant cranial sutures and fontanelles based on CT images
Characterizing the suture morphological variation is a crucial step to investigate the
influence of sutures on infant head biomechanics. This study aimed to establish a …
influence of sutures on infant head biomechanics. This study aimed to establish a …
Fusion of heuristics and cosine similarity measures: introducing HCSTA for image segmentation via multilevel thresholding
S Thapliyal, N Kumar - … Journal of System Assurance Engineering and …, 2025 - Springer
The domain of image processing is experiencing significant advancements, primarily aimed
at refining and enhancing images obtained from various sources, such as medical imaging …
at refining and enhancing images obtained from various sources, such as medical imaging …
Quantification and statistical analysis on the cranial vault morphology for Chinese children 3–10 years old
Z Li, Z Pang, J Qiu, Z Zhang, X Liu, C Bai… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Head injury is the leading cause of fatalities and
disabilities in children. Characterizing the variation in cranial size/shape and thickness …
disabilities in children. Characterizing the variation in cranial size/shape and thickness …
[HTML][HTML] Automated segmentation of left ventricular myocardium using cascading convolutional neural networks based on echocardiography
S Ren, Y Wang, R Hu, L Zuo, L Liu, H Zhao - AIP Advances, 2021 - pubs.aip.org
Quickly and accurately segmenting the left ventricular (LV) myocardium from ultrasound
images and measuring the thickness of the interventricular septum and LV wall play an …
images and measuring the thickness of the interventricular septum and LV wall play an …