Deep learning in cardiology
P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers
Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
Suspended sediment load prediction using long short-term memory neural network
Rivers carry suspended sediments along with their flow. These sediments deposit at
different places depending on the discharge and course of the river. However, the …
different places depending on the discharge and course of the river. However, the …
[PDF][PDF] Convolutional neural network based classification of patients with pneumonia using X-ray lung images
H Moujahid, B Cherradi, OE Gannour… - Advances in Science …, 2020 - academia.edu
Analysis and classification of lung diseases using X-ray images is a primary step in the
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
Guest editorial annotation-efficient deep learning: the holy grail of medical imaging
Annotation-efficient deep learning refers to methods and practices that yield high-
performance deep learning models without the use of massive carefully labeled training …
performance deep learning models without the use of massive carefully labeled training …
The ultrasound window into vascular ageing: a technology review by the VascAgeNet COST action
Non‐invasive ultrasound (US) imaging enables the assessment of the properties of
superficial blood vessels. Various modes can be used for vascular characteristics analysis …
superficial blood vessels. Various modes can be used for vascular characteristics analysis …
Integrating active learning and transfer learning for carotid intima-media thickness video interpretation
Cardiovascular disease (CVD) is the number one killer in the USA, yet it is largely
preventable (World Health Organization 2011). To prevent CVD, carotid intima-media …
preventable (World Health Organization 2011). To prevent CVD, carotid intima-media …
Bimodal automated carotid ultrasound segmentation using geometrically constrained deep neural networks
C Azzopardi, KP Camilleri… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque
morphology is an important clinical task which allows monitoring of the risk of plaque rupture …
morphology is an important clinical task which allows monitoring of the risk of plaque rupture …
An automatic visual monitoring system for expansion displacement of switch rail
H Yin, Z Liu, Z Xu, L Gao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Expansion displacement of switch rail is very important for the comfort and safety of the high-
speed railway. For safety considerations, it is reasonable to take a noncontact measurement …
speed railway. For safety considerations, it is reasonable to take a noncontact measurement …
Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier
J Liang, Z Zhou, J Shin - US Patent 12,118,455, 2024 - Google Patents
Abstract Systems for selecting candidates for labelling and use in training a convolutional
neural network (CNN) are provided, the systems comprising: a memory device; and at least …
neural network (CNN) are provided, the systems comprising: a memory device; and at least …