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 …
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 …
[HTML][HTML] Pre-surgical and post-surgical aortic aneurysm maximum diameter measurement: full automation by artificial intelligence
Objective The aim of this study was to evaluate an automatic, deep learning based method
(Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum …
(Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum …
Machine learning and image analysis in vascular surgery
RT Tomihama, S Dass, S Chen, SC Kiang - Seminars in Vascular Surgery, 2023 - Elsevier
Deep learning (DL), a subset of machine learning within artificial intelligence, has been
successful in medical image analysis in vascular surgery. Unlike traditional computer based …
successful in medical image analysis in vascular surgery. Unlike traditional computer based …
Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net
We delineate abdominal aortic aneurysms, including lumen and intraluminal thrombosis
(ILT), from contrast-enhanced computed tomography angiography (CTA) data in 70 patients …
(ILT), from contrast-enhanced computed tomography angiography (CTA) data in 70 patients …
Automated segmentation of the human abdominal vascular system using a hybrid approach combining expert system and supervised deep learning
Background: Computed tomography angiography (CTA) is one of the most commonly used
imaging technique for the management of vascular diseases. Here, we aimed to develop a …
imaging technique for the management of vascular diseases. Here, we aimed to develop a …
Automated segmentation of intracranial thrombus on NCCT and CTA in patients with acute ischemic stroke using a coarse-to-fine deep learning model
BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi
is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to …
is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to …
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 …
Machine learning based prediction of post-operative infrarenal endograft apposition for abdominal aortic aneurysms
WA van Veldhuizen, JPPM de Vries, A Tuinstra… - European Journal of …, 2024 - Elsevier
Objective Challenging infrarenal aortic neck characteristics have been associated with an
increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short …
increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short …
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 …