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COVID-19 infection localization and severity grading from chest X-ray images
(
Elsevier Ltd
, 2021 , Article)
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...
Self-organized operational neural networks for severe image restoration problems
(
Elsevier Ltd
, 2021 , Article)
Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become the go-to methodology for tackling image ...
Use of the Delphi technique in pharmacy practice research
(
Elsevier Inc.
, 2022 , Article)
Consensus research methods are used in health services research to generate evidence through systematic means of measuring collective agreement and developing consensus from experts of a subject matter. Delphi technique ...
In honour of Professor Jackie Ying, recipient of the Journal of Drug Targeting's Lifetime Achievement Award�for 2020
(
Taylor and Francis Ltd
, 2020 , Article)
[No abstract available]
Efficacy of aerosol reduction measures for dental aerosol generating procedures
(
Taylor and Francis Ltd.
, 2022 , Article)
Aerosol particles generated by dental procedures could facilitate the transmission of infectious diseases and contain carcinogen particles. Such particles can penetrate common surgical masks and reach the lungs, leading ...
Detection and severity classification of COVID-19 in CT images using deep learning
(
MDPI
, 2021 , Article)
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ...
Mouthguards should be worn in contact sports
(
BMJ Publishing Group
, 2020 , Article)
[No abstract available]
Reply to: Let us not rush back to odds ratios in meta-analysis
(
Elsevier Inc.
, 2021 , Article)
[No abstract available]
Is there truly an increase in risk of cardiovascular and hematological adverse events with vascular endothelial growth factor receptor tyrosine kinase inhibitors?
(
Taylor and Francis Ltd
, 2020 , Article)
Objectives: Recent studies have shown an increase risk of cardiovascular and hematological adverse events associated with vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs). The authors hypothesize ...
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
(
IEEE Computer Society
, 2022 , Article)
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...