A comprehensive review of SARS-CoV-2 vaccines: Pfizer, moderna & Johnson & Johnson

R Patel, M Kaki, VS Potluri, P Kahar… - Human vaccines & …, 2022 - Taylor & Francis
The novel coronavirus outbreak was declared a pandemic in March 2020. We are reviewing
the COVID-19 vaccines authorized for use in the United States by discussing the …

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review

S Das, GK Nayak, L Saba, M Kalra, JS Suri… - Computers in biology and …, 2022 - Elsevier
Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arXiv preprint arXiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …

M Agarwal, S Agarwal, L Saba, GL Chabert… - Computers in biology …, 2022 - Elsevier
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …

A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning

S Atasever, N Azginoglu, DS Terzi, R Terzi - Clinical imaging, 2023 - Elsevier
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …

Artificial intelligence-driven assessment of radiological images for COVID-19

Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …

Environmentally friendly and antimicrobial bilayer structured fabrics with integrated interception and sterilization for personal protective mask

Y Cheng, J Li, M Chen, S Zhang, R He… - Separation and Purification …, 2022 - Elsevier
Personal protective mask (PPM) is becoming an effective and convenient apparatus to
protect people from harmful air contaminant caused by air pollution and highly infectious …

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

SS Skandha, A Nicolaides, SK Gupta… - Computers in biology …, 2022 - Elsevier
Background Early and automated detection of carotid plaques prevents strokes, which are
the second leading cause of death worldwide according to the World Health Organization …

[HTML][HTML] Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data …

AK Dubey, GL Chabert, A Carriero, A Pasche… - Diagnostics, 2023 - mdpi.com
Background and motivation: Lung computed tomography (CT) techniques are high-
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …

Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review

JS Suri, S Paul, MA Maindarkar, A Puvvula, S Saxena… - Metabolites, 2022 - mdpi.com
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …