A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
Analyzing overlaid foreign objects in chest X-rays—clinical significance and artificial intelligence tools
S Roy, KC Santosh - Healthcare, 2023 - mdpi.com
The presence of non-biomedical foreign objects (NBFO), such as coins, buttons and jewelry,
and biomedical foreign objects (BFO), such as medical tubes and devices in chest X-rays …
and biomedical foreign objects (BFO), such as medical tubes and devices in chest X-rays …
Covid-net cxr-2: An enhanced deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
As the COVID-19 pandemic devastates globally, the use of chest X-ray (CXR) imaging as a
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
Dynamic learning for imbalanced data in learning chest X-ray and CT images
Massive annotated datasets are necessary for networks of deep learning. When a topic is
being researched for the first time, as in the situation of the viral epidemic, handling it with …
being researched for the first time, as in the situation of the viral epidemic, handling it with …
Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS)
Background: Sarcopenia is an aging syndrome that increases the risks of various adverse
outcomes, including falls, fractures, physical disability, and death. Sarcopenia can be …
outcomes, including falls, fractures, physical disability, and death. Sarcopenia can be …
Guest editorial multimodal learning in medical imaging informatics
KC Santosh, S Antani - IEEE Journal of Biomedical and Health …, 2023 - ieeexplore.ieee.org
The papers in this special section focus on multimodal learning in medical imaging
informatics. Enormous amounts of health-related data are produced daily, such as those …
informatics. Enormous amounts of health-related data are produced daily, such as those …
[图书][B] Active learning to minimize the possible risk of future epidemics
KC Santosh, S Nakarmi - 2023 - Springer
Future epidemics are inevitable. In the realm of medical imaging informatics, the challenge
of addressing future epidemics, such as infectious disease outbreaks like Covid-19, is …
of addressing future epidemics, such as infectious disease outbreaks like Covid-19, is …
Detection of COVID-19, pneumonia, and tuberculosis from radiographs using AI-driven knowledge distillation
Chest radiography is an essential diagnostic tool for respiratory diseases such as COVID-
19, pneumonia, and tuberculosis because it accurately depicts the structures of the chest …
19, pneumonia, and tuberculosis because it accurately depicts the structures of the chest …
Contrastive learning and subtyping of post-COVID-19 lung computed tomography images
Patients who recovered from the novel coronavirus disease 2019 (COVID-19) may
experience a range of long-term symptoms. Since the lung is the most common site of the …
experience a range of long-term symptoms. Since the lung is the most common site of the …