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 …

Artificial intelligence and machine learning in aortic disease

LD Hahn, K Baeumler, A Hsiao - Current Opinion in Cardiology, 2021 - journals.lww.com
Multiple ML techniques have potential for characterization and risk prediction of aortic
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …

Effectiveness of federated learning and CNN ensemble architectures for identifying brain tumors using MRI images

M Islam, MT Reza, M Kaosar, MZ Parvez - Neural Processing Letters, 2023 - Springer
Medical institutions often revoke data access due to the privacy concern of patients.
Federated Learning (FL) is a collaborative learning paradigm that can generate an unbiased …

Intra: 3d intracranial aneurysm dataset for deep learning

X Yang, D **a, T Kin, T Igarashi - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Medicine is an important application area for deep learning models. Research in this field is
a combination of medical expertise and data science knowledge. In this paper, instead of 2D …

3D automatic segmentation of aortic computed tomography angiography combining multi-view 2D convolutional neural networks

A Fantazzini, M Esposito, A Finotello… - Cardiovascular …, 2020 - Springer
Purpose The quantitative analysis of contrast-enhanced Computed Tomography
Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform …

[HTML][HTML] Pre-surgical and post-surgical aortic aneurysm maximum diameter measurement: full automation by artificial intelligence

C Adam, D Fabre, J Mougin, M Zins, A Azarine… - European Journal of …, 2021 - Elsevier
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 …

[HTML][HTML] Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician …

C Caradu, B Spampinato, AM Vrancianu… - Journal of vascular …, 2021 - Elsevier
Objective Imaging software has become critical tools in the diagnosis and decision making
for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver …

Fundamentals in artificial intelligence for vascular surgeons

J Raffort, C Adam, M Carrier, F Lareyre - Annals of vascular surgery, 2020 - Elsevier
Artificial intelligence (AI) corresponds to a broad discipline that aims to design systems,
which display properties of human intelligence. While it has led to many advances and …

Current applications of artificial intelligence in vascular surgery

UM Fischer, PK Shireman, JC Lin - Seminars in vascular surgery, 2021 - Elsevier
Basic foundations of artificial intelligence (AI) include analyzing large amounts of data,
recognizing patterns, and predicting outcomes. At the core of AI are well-defined areas, such …

Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net

N Mu, Z Lyu, M Rezaeitaleshmahalleh, X Zhang… - Computers in biology …, 2023 - Elsevier
We delineate abdominal aortic aneurysms, including lumen and intraluminal thrombosis
(ILT), from contrast-enhanced computed tomography angiography (CTA) data in 70 patients …