Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
Carbontracker: Tracking and predicting the carbon footprint of training deep learning models
LFW Anthony, B Kanding, R Selvan - ar** and ResNet-SVM using chest X-ray images
C Zhou, J Song, S Zhou, Z Zhang, J **ng - Ieee Access, 2021 - ieeexplore.ieee.org
As the COVID-19 spread worldwide, countries around the world are actively taking
measures to fight against the epidemic. To prevent the spread of it, a high sensitivity and …
measures to fight against the epidemic. To prevent the spread of it, a high sensitivity and …
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
The coronavirus disease, called COVID-19, which is spreading fast worldwide since the end
of 2019, and has become a global challenging pandemic. Until 27th May 2020, it caused …
of 2019, and has become a global challenging pandemic. Until 27th May 2020, it caused …
Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder
In this paper, we propose a new method to perform data augmentation in a reliable way in
the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based …
the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based …
COVID-19 in CXR: From detection and severity scoring to patient disease monitoring
This work estimates the severity of pneumonia in COVID-19 patients and reports the findings
of a longitudinal study of disease progression. It presents a deep learning model for …
of a longitudinal study of disease progression. It presents a deep learning model for …
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new …
In this position paper, we provide a collection of views on the role of AI in the COVID-19
pandemic, from clinical requirements to the design of AI-based systems, to the translation of …
pandemic, from clinical requirements to the design of AI-based systems, to the translation of …
Explainable AI, but explainable to whom? An exploratory case study of xAI in healthcare
Advances in AI technologies have resulted in superior levels of AI-based model
performance. However, this has also led to a greater degree of model complexity, resulting …
performance. However, this has also led to a greater degree of model complexity, resulting …