The mechanism and therapy of aortic aneurysms

J Gao, H Cao, G Hu, Y Wu, Y Xu, H Cui, HS Lu… - Signal transduction and …, 2023 - nature.com
Aortic aneurysm is a chronic aortic disease affected by many factors. Although it is generally
asymptomatic, it poses a significant threat to human life due to a high risk of rupture …

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities

H Li, Z Zhang, T Li, X Si - Mechanical Systems and Signal Processing, 2024 - Elsevier
Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

M Rezaeitaleshmahalleh, Z Lyu, N Mu, X Zhang… - Scientific reports, 2023 - nature.com
Aneurysm hemodynamics is known for its crucial role in the natural history of abdominal
aortic aneurysms (AAA). However, there is a lack of well-developed quantitative …

PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta

L Liang, M Liu, J Elefteriades, W Sun - Computer Methods and Programs in …, 2023 - Elsevier
Background and objectives Finite-element analysis (FEA) is widely used as a standard tool
for stress and deformation analysis of solid structures, including human tissues and organs …

Assessment of shape-based features ability to predict the ascending aortic aneurysm growth

L Geronzi, P Haigron, A Martinez, K Yan… - Frontiers in …, 2023 - frontiersin.org
The current guidelines for the ascending aortic aneurysm (AsAA) treatment recommend
surgery mainly according to the maximum diameter assessment. This criterion has already …

Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study

Z Lyu, K King, M Rezaeitaleshmahalleh… - Biomedical physics …, 2023 - iopscience.iop.org
Computational hemodynamics is increasingly being used to quantify hemodynamic
characteristics in and around abdominal aortic aneurysms (AAA) in a patient-specific …

Improving the transferability of adversarial attacks via self-ensemble

S Cheng, P Li, J Liu, H Xu, Y Yao… - Applied …, 2024 - Springer
Deep neural networks have been used extensively for diverse visual tasks, including object
detection, face recognition, and image classification. However, they face several security …

Implicit neural representations for modeling of abdominal aortic aneurysm progression

D Alblas, M Hofman, C Brune, KK Yeung… - … on Functional Imaging …, 2023 - Springer
Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abdominal aorta that,
if left untreated, can rupture with lethal consequences. Imaging-based patient monitoring is …

Review of machine learning techniques in soft tissue biomechanics and biomaterials

S Donmazov, EN Saruhan, K Pekkan… - Cardiovascular …, 2024 - Springer
Abstract Background and Objective Advanced material models and material characterization
of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries …

Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network …

Z Lyu, N Mu, M Rezaeitaleshmahalleh, X Zhang… - Computers in Biology …, 2024 - Elsevier
Intraluminal thrombosis (ILT) plays a critical role in the progression of abdominal aortic
aneurysms (AAA). Understanding the role of ILT can improve the evaluation and …