CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

D Sharifrazi, R Alizadehsani… - Mathematical …, 2022 - researchers.mq.edu.au
Myocarditis is the form of an inflammation of the middle layer of the heart wall which is
caused by a viral infection and can affect the heart muscle and its electrical system. It has …

Peripheral artery disease diagnosis based on deep learning-enabled analysis of non-invasive arterial pulse waveforms

SM Shahrbabak, S Kim, BD Youn, HM Cheng… - Computers in Biology …, 2024 - Elsevier
This paper intends to investigate the feasibility of peripheral artery disease (PAD) diagnosis
based on the analysis of non-invasive arterial pulse waveforms. We generated realistic …

Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

G Jones, J Parr, P Nithiarasu, S Pant - Biomechanics and modeling in …, 2021 - Springer
This study presents an application of machine learning (ML) methods for detecting the
presence of stenoses and aneurysms in the human arterial system. Four major forms of …

First blood: An efficient, hybrid one‐and zero‐dimensional, modular hemodynamic solver

R Wéber, D Gyürki, G Paál - International Journal for Numerical …, 2023 - Wiley Online Library
Abstract Low‐dimensional (1D or 0D) models can describe the whole human blood
circulation, for example, 1D distributed parameter model for the arterial network and 0D …

A physiologically realistic virtual patient database for the study of arterial haemodynamics

G Jones, J Parr, P Nithiarasu… - International Journal for …, 2021 - Wiley Online Library
This study creates a physiologically realistic virtual patient database (VPD), representing the
human arterial system, for the primary purpose of studying the effects of arterial disease on …

DeepPAD: Detection of peripheral arterial disease using deep learning

N Forghani, K Maghooli, NJ Dabanloo… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Peripheral arterial disease (PAD) is a common circulatory disease caused by the deposition
of fatty plaque on the arterial wall. Early detection and treatment of PAD are essential in …

[HTML][HTML] Machine learning-based pulse wave analysis for classification of circle of Willis topology: An in silico study with 30,618 virtual subjects

A Sen, M Aguirre, PH Charlton, L Navarro… - … Signal Processing and …, 2025 - Elsevier
Abstract Background and Objective The topology of the circle of Willis (CoW) is crucial in
cerebral circulation and significantly impacts patient management. Incomplete CoW …

[HTML][HTML] A data-driven computational methodology towards a pre-hospital Acute Ischaemic Stroke screening tool using haemodynamics waveforms

A Sen, L Navarro, S Avril, M Aguirre - Computer methods and programs in …, 2024 - Elsevier
Abstract Background and Objective Acute Ischaemic Stroke (AIS), a significant global health
concern, results from occlusions in cerebral arteries, causing irreversible brain damage …

[HTML][HTML] Classification and regression of stenosis using an in-vitro pulse wave data set: Dependence on heart rate, waveform and location

A Mair, M Wisotzki, S Bernhard - Computers in Biology and Medicine, 2022 - Elsevier
Background: Data-based approaches promise to use the information in cardiovascular
signals to diagnose cardiovascular diseases. Considerable effort has been undertaken in …

[HTML][HTML] Comparison of machine learning techniques in the early detection of abdominal aortic aneurysms from in-vivo photoplethysmography data

U Hackstein, S Bernhard - Informatics in Medicine Unlocked, 2022 - Elsevier
Digitalisation and the generation of large amounts of data from examinations and medical
interventions are making an ever-increasing amount of data available, of which only a …