Artificial intelligence in abdominal aortic aneurysm
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 …
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
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 …
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 …
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
Abstract Computerized Tomography Angiography (CTA) based follow-up of Abdominal
Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to …
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
Purpose Segmentation of multiple organs‐at‐risk (OARs) is essential for magnetic
resonance (MR)‐only radiation therapy treatment planning and MR‐guided adaptive …
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
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 …
(TBAD) segmentation method by leveraging the emerging deep learning techniques …
A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation
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 …
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 …
The detection and segmentation of thrombi are essential for monitoring the disease
progression of abdominal aortic aneurysms (AAAs) and for patient care and management …
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 …
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 …
should include the aortic wall. This study aimed to evaluate two-dimensional (2D)-and three …