Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
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 …
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …
Effect of climatic precession on dansgaard‐oeschger‐like oscillations
Y Kuniyoshi, A Abe‐Ouchi… - Geophysical …, 2022 - Wiley Online Library
Using the climate model MIROC4m, we simulate self‐sustained oscillations of millennial‐
scale periodicity in the climate and Atlantic meridional overturning circulation under glacial …
scale periodicity in the climate and Atlantic meridional overturning circulation under glacial …
Segmentation of aorta 3D CT images based on 2D convolutional neural networks
The automatic segmentation of the aorta can be extremely useful in clinical practice,
allowing the diagnosis of numerous pathologies to be sped up, such as aneurysms and …
allowing the diagnosis of numerous pathologies to be sped up, such as aneurysms and …
Artificial intelligence application to screen abdominal aortic aneurysm using computed tomography angiography
The aim of our study is to validate a totally automated deep learning (DL)-based
segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed …
segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed …
Upcol: uncertainty-informed prototype consistency learning for semi-supervised medical image segmentation
W Lu, J Lei, P Qiu, R Sheng, J Zhou, X Lu… - … Conference on Medical …, 2023 - Springer
Semi-supervised learning (SSL) has emerged as a promising approach for medical image
segmentation, while its capacity has still been limited by the difficulty in quantifying the …
segmentation, while its capacity has still been limited by the difficulty in quantifying the …
A deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and planning for endovascular repair from computed tomography
Feasibility assessment and planning of thoracic endovascular aortic repair (TEVAR) require
computed tomography (CT)-based analysis of geometric aortic features to identify adequate …
computed tomography (CT)-based analysis of geometric aortic features to identify adequate …
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 …
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models
Idiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung
disease of a poor prognosis, characterized by progressively worsening of lung function …
disease of a poor prognosis, characterized by progressively worsening of lung function …
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 …