COVID-19 detection using deep learning algorithm on chest X-ray images

S Akter, FMJM Shamrat, S Chakraborty, A Karim… - Biology, 2021 - mdpi.com
Simple Summary The study proposes an automated deep learning-based classification
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …

An overview of deep learning approaches in chest radiograph

S Anis, KW Lai, JH Chuah, SM Ali, H Mohafez… - IEEE …, 2020 - ieeexplore.ieee.org
Chest X-ray (CXR) interpretations are conducted in hospitals and medical facilities on daily
basis. If the interpretation tasks were performed correctly, various vital medical conditions of …

Magnetic resonance imaging of myocardial strain: a review of current approaches

T Chitiboi, L Axel - Journal of Magnetic Resonance Imaging, 2017 - Wiley Online Library
Contraction of the heart is central to its purpose of pumping blood around the body. While
simple global function measures (such as the ejection fraction) are most commonly used in …

Comparative studies of deep learning segmentation models for left ventricle segmentation

MA Shoaib, KW Lai, JH Chuah, YC Hum, R Ali… - Frontiers in Public …, 2022 - frontiersin.org
One of the primary factors contributing to death across all age groups is cardiovascular
disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D …

Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network

MA Shoaib, JH Chuah, R Ali, S Dhanalakshmi… - Life, 2023 - mdpi.com
The segmentation of the left ventricle (LV) is one of the fundamental procedures that must be
performed to obtain quantitative measures of the heart, such as its volume, area, and …

An intelligent mental health identification method for college students: A mixed-method study

C Li, M Yang, Y Zhang, KW Lai - International Journal of Environmental …, 2022 - mdpi.com
Purpose: Mental health assessments that combine patients' facial expressions and
behaviors have been proven effective, but screening large-scale student populations for …

Robust recovery of myocardial kinematics using dual criteria

Z Gao, H Zhang, D Wang, M Guo, H Liu… - Multimedia Tools and …, 2018 - Springer
Accurate estimation of myocardial motion can help to better understand the
pathophysiological processes of ischemic heart diseases. However, because of partial and …

Development and External Validation of a Nomogram for Predicting Overall Survival in Stomach Cancer: A Population‐Based Study

H Ji, H Wu, Y Du, L Xiao, Y Zhang… - Journal of …, 2021 - Wiley Online Library
Objective. The study was to develop and externally validate a prognostic nomogram to
effectively predict the overall survival of patients with stomach cancer. Methods …

Aortic valve segmentation using deep learning

KW Lai, MA Shoaib, JH Chuah… - 2020 IEEE-EMBS …, 2021 - ieeexplore.ieee.org
Aortic stenosis is the most common type of valvular heart disease (VHD), requiring
echocardiography examination for diagnosing and monitoring of the patient. Segmentation …

Construction of a diagnostic model for lymph node metastasis of the papillary thyroid carcinoma using preoperative ultrasound features and imaging omics

C Zhang, L Cheng, W Zhu, J Zhuang… - Journal of …, 2022 - Wiley Online Library
In this paper, we mainly adopted 337 patients who had undergone the surgery on lymph
node metastasis of papillary thyroid carcinoma (PTC) as the sample population. In order to …