Artificial intelligence in abdominal aortic aneurysm

J Raffort, C Adam, M Carrier, A Ballaith… - Journal of vascular …, 2020 - Elsevier
Objective Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only
curative treatment relies on open or endovascular repair. The decision to treat relies on the …

AI-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo

Y Jin, A Pepe, J Li, C Gsaxner, F Zhao… - arXiv preprint arXiv …, 2021 - arxiv.org
The aortic vessel tree is composed of the aorta and its branching arteries, and plays a key
role in supplying the whole body with blood. Aortic diseases, like aneurysms or dissections …

Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors

T Okada, MG Linguraru, M Hori, RM Summers… - Medical image …, 2015 - Elsevier
This paper addresses the automated segmentation of multiple organs in upper abdominal
computed tomography (CT) data. The aim of our study is to develop methods to effectively …

Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks

K López-Linares, N Aranjuelo, L Kabongo… - Medical image …, 2018 - Elsevier
Abstract Computerized Tomography Angiography (CTA) based follow-up of Abdominal
Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to …

Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks

Y Chen, D Ruan, J Xiao, L Wang, B Sun… - Medical …, 2020 - Wiley Online Library
Purpose Segmentation of multiple organs‐at‐risk (OARs) is essential for magnetic
resonance (MR)‐only radiation therapy treatment planning and MR‐guided adaptive …

Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning

L Cao, R Shi, Y Ge, L Xing, P Zuo, Y Jia, J Liu… - European journal of …, 2019 - Elsevier
Purpose This study sought to establish a robust and fully automated Type B aortic dissection
(TBAD) segmentation method by leveraging the emerging deep learning techniques …

A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation

F Lareyre, C Adam, M Carrier, C Dommerc, C Mialhe… - Scientific reports, 2019 - nature.com
Imaging software have become critical tools in the diagnosis and the treatment of abdominal
aortic aneurysms (AAA). The aim of this study was to develop a fully automated software …

Automatic detection and segmentation of thrombi in abdominal aortic aneurysms using a mask region-based convolutional neural network with optimized loss …

B Hwang, J Kim, S Lee, E Kim, J Kim, Y Jung, H Hwang - Sensors, 2022 - mdpi.com
The detection and segmentation of thrombi are essential for monitoring the disease
progression of abdominal aortic aneurysms (AAAs) and for patient care and management …

Deep-learning method for fully automatic segmentation of the abdominal aortic aneurysm from computed tomography imaging

A Abdolmanafi, A Forneris, RD Moore… - Frontiers in …, 2023 - frontiersin.org
Abdominal aortic aneurysm (AAA) is one of the leading causes of death worldwide. AAAs
often remain asymptomatic until they are either close to rupturing or they cause pressure to …

Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection

R Kesävuori, T Kaseva, E Salli, P Raivio… - European radiology …, 2023 - Springer
Background Guidelines recommend that aortic dimension measurements in aortic dissection
should include the aortic wall. This study aimed to evaluate two-dimensional (2D)-and three …