A comprehensive sco** review of Bayesian networks in healthcare: Past, present and future
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in
the past, making it difficult to organize the research contributions in the present and identify …
the past, making it difficult to organize the research contributions in the present and identify …
Bayesian networks in healthcare: What is preventing their adoption?
There has been much research effort expended toward the use of Bayesian networks (BNs)
in medical decision-making. However, because of the gap between develo** an accurate …
in medical decision-making. However, because of the gap between develo** an accurate …
[HTML][HTML] Bayesian networks in healthcare: Distribution by medical condition
Bayesian networks (BNs) have received increasing research attention that is not matched by
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
Automatic plaque detection in IVOCT pullbacks using convolutional neural networks
Coronary heart disease is a common cause of death despite being preventable. To treat the
underlying plaque deposits in the arterial walls, intravascular optical coherence tomography …
underlying plaque deposits in the arterial walls, intravascular optical coherence tomography …
Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …
coronary artery disease with continuous ebullient progress in technology and techniques …
Artificial intelligence in intracoronary imaging
Abstract Purpose of Review This paper investigates present uses and future potential of
artificial intelligence (AI) applied to intracoronary imaging technologies. Recent Findings …
artificial intelligence (AI) applied to intracoronary imaging technologies. Recent Findings …
Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation
Background Accurate and efficient 3-dimension (3D) reconstruction of coronary stents in
intravascular imaging of optical coherence tomography (OCT) or intravascular ultrasound …
intravascular imaging of optical coherence tomography (OCT) or intravascular ultrasound …
Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R‐FCN
X Jiang, Y Zeng, S **ao, S He, C Ye… - … methods in medicine, 2020 - Wiley Online Library
An artificial stent implantation is one of the most effective ways to treat coronary artery
diseases. It is vital in vascular medical imaging, such as intravascular optical coherence …
diseases. It is vital in vascular medical imaging, such as intravascular optical coherence …
Patient-specific modeling of stented coronary arteries reconstructed from optical coherence tomography: towards a widespread clinical use of fluid dynamics analyses
The recent widespread application of optical coherence tomography (OCT) in interventional
cardiology has improved patient-specific modeling of stented coronary arteries for the …
cardiology has improved patient-specific modeling of stented coronary arteries for the …
Retinal layer segmentation in optical coherence tomography images
The four major causes of blindness are age-related diseases, out of which three affects the
retina. These diseases, ie, glaucoma, diabetic retinopathy, and age-related macular …
retina. These diseases, ie, glaucoma, diabetic retinopathy, and age-related macular …