English
Related papers

Related papers: Neural operator learning of heterogeneous mechanob…

200 papers

Thoracic aortic aneurysms (TAAs) arise from diverse mechanical and mechanobiological disruptions to the aortic wall that increase the risk of dissection or rupture. Evidence links TAA development to dysfunctions in the aortic…

Machine Learning · Computer Science 2025-10-01 David S. Li , Somdatta Goswami , Qianying Cao , Vivek Oommen , Roland Assi , Jay D. Humphrey , George E. Karniadakis

Abdominal aortic aneurysms (AAAs) are pathologic dilatations of the abdominal aorta posing a high fatality risk upon rupture. Studying AAA progression and rupture risk often involves in-silico blood flow modelling with computational fluid…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Patryk Rygiel , Julian Suk , Christoph Brune , Kak Khee Yeung , Jelmer M. Wolterink

Thoracic aortic aneurysm (TAA) is a fatal disease which potentially leads to dissection or rupture through progressive enlargement of the aorta. It is usually asymptomatic and screening recommendation are limited. The gold-standard…

The aorta is the body's largest arterial vessel, serving as the primary pathway for oxygenated blood within the systemic circulation. Aortic aneurysms consistently rank among the top twenty causes of mortality in the United States. Thoracic…

Image and Video Processing · Electrical Eng. & Systems 2025-09-17 Jiasong Chen , Linchen Qian , Ruonan Gong , Christina Sun , Tongran Qin , Thuy Pham , Caitlin Martin , Mohammad Zafar , John Elefteriades , Wei Sun , Liang Liang

Aortic dissection progresses via delamination of the medial layer of the wall. Notwithstanding the complexity of this process, insight has been gleaned by studying in vitro and in silico the progression of dissection driven by quasi-static…

Computational Engineering, Finance, and Science · Computer Science 2022-03-01 Minglang Yin , Ehsan Ban , Bruno V. Rego , Enrui Zhang , Cristina Cavinato , Jay D. Humphrey , George Em Karniadakis

We propose a deep learning-based technique for detection and quantification of abdominal aortic aneurysms (AAAs). The condition, which leads to more than 10,000 deaths per year in the United States, is asymptomatic, often detected…

Neural networks are universal approximators that traditionally have been used to learn a map between function inputs and outputs. However, recent research has demonstrated that deep neural networks can be used to approximate operators,…

Thrombosis involves processes spanning large-scale fluid flow to sub-cellular events such as platelet activation. Traditional CFD approaches often treat blood as a continuum, which can limit their ability to capture these microscale…

Fluid Dynamics · Physics 2025-03-18 Marco Laudato , Luca Manzari , Khemraj Shukla

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 required to select patients eligible for surgical…

Image and Video Processing · Electrical Eng. & Systems 2023-03-03 Dieuwertje Alblas , Marieke Hofman , Christoph Brune , Kak Khee Yeung , Jelmer M. Wolterink

Poroelasticity -- coupled fluid flow and elastic deformation in porous media -- often involves spatially variable permeability, especially in subsurface systems. In such cases, simulations with random permeability fields are widely used for…

Machine Learning · Computer Science 2025-09-16 Sangjoon Park , Yeonjong Shin , Jinhyun Choo

Abdominal aortic aneurysms (AAA) pose a significant clinical risk due to their potential for rupture, which is often asymptomatic but can be fatal. Although maximum diameter is commonly used for risk assessment, diameter alone is…

Image and Video Processing · Electrical Eng. & Systems 2025-08-28 Utsav Ratna Tuladhar , Richard Simon , Doran Mix , Michael Richards

An abdominal aortic aneurysm (AAA) is a focal dilation of the aorta that, if not treated, tends to grow and may rupture. A significant unmet need in the assessment of AAA disease, for the diagnosis, prognosis and follow-up, is the…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Karen López-Linares , Inmaculada García , Ainhoa García-Familiar , Iván Macía , Miguel A. González Ballester

Burn injuries present a significant global health challenge. Among the most severe long-term consequences are contractures, which can lead to functional impairments and disfigurement. Understanding and predicting the evolution of post-burn…

Numerical Analysis · Mathematics 2024-11-25 Selma Husanovic , Ginger Egberts , Alexander Heinlein , Fred Vermolen

Pathological alterations in the human vascular system underlie many chronic diseases, such as atherosclerosis and aneurysms. However, manually analyzing diagnostic images of the vascular system, such as computed tomographic angiograms…

Image and Video Processing · Electrical Eng. & Systems 2023-11-29 Alireza Bagheri Rajeoni , Breanna Pederson , Ali Firooz , Hamed Abdollahi , Andrew K. Smith , Daniel G. Clair , Susan M. Lessner , Homayoun Valafar

This study applies convolutional neural network (CNN)-based automatic segmentation and distensibility measurement of the ascending and descending aorta from 2D phase-contrast cine magnetic resonance imaging (PC-cine MRI) within the large…

Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for customized stent-graft design in Fenestrated Endovascular Aortic Repair (FEVAR). Traditional segmentation approaches implement expert-designed feature extractors while…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Jian-Qing Zheng , Xiao-Yun Zhou , Qing-Biao Li , Celia Riga , Guang-Zhong Yang

Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with a survival rate of only 20\%. Current clinical guidelines recommend elective surgical repair when the maximum AAA diameter…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Dieuwertje Alblas , Patryk Rygiel , Julian Suk , Kaj O. Kappe , Marieke Hofman , Christoph Brune , Kak Khee Yeung , Jelmer M. Wolterink

Continuum robots enable dexterous manipulation in constrained environments, but require accurate and efficient models for real-time manipulation and control. Traditional physics-based models can be computationally expensive and may suffer…

Robotics · Computer Science 2026-05-20 Branden Frieden , James M. Ferguson , Alan Kuntz , Varun Shankar

Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress of the patient and detect complications. In this context,…

In CT angiography, the accurate segmentation of abdominal aortic aneurysms (AAAs) is difficult due to large anatomical variability, low-contrast vessel boundaries, and the close proximity of organs whose intensities resemble vascular…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Osamah Sufyan , Martin Brückmann , Ralph Wickenhöfer , Babette Dellen , Uwe Jaekel
‹ Prev 1 2 3 10 Next ›