[HTML][HTML] The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning
Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or
computers the ability to perform human-like cognitive functions, began in the 1940s with the …
computers the ability to perform human-like cognitive functions, began in the 1940s with the …
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Z Li, S Zhao, Y Chen, F Luo, Z Kang, S Cai… - Expert Systems with …, 2021 - Elsevier
Millions of positive COVID-19 patients are suffering from the pandemic around the world, a
critical step in the management and treatment is severity assessment, which is quite …
critical step in the management and treatment is severity assessment, which is quite …
[HTML][HTML] COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
Background: COVID-19 is a disease with multiple variants, and is quickly spreading
throughout the world. It is crucial to identify patients who are suspected of having COVID-19 …
throughout the world. It is crucial to identify patients who are suspected of having COVID-19 …
A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia
Background The role of computed tomography (CT) in the diagnosis and characterization of
coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We …
coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We …
Quantitative analysis of residual COVID-19 lung CT features: consistency among two commercial software
Objective: To investigate two commercial software and their efficacy in the assessment of
chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency …
chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency …
[HTML][HTML] Enhancing the impact of Artificial Intelligence in Medicine: A joint AIFM-INFN Italian initiative for a dedicated cloud-based computing infrastructure
Artificial Intelligence (AI) techniques have been implemented in the field of Medical Imaging
for more than forty years. Medical Physicists, Clinicians and Computer Scientists have been …
for more than forty years. Medical Physicists, Clinicians and Computer Scientists have been …
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19
Prior studies for the task of severity assessment of COVID-19 (SA-COVID) usually suffer from
domain-specific cognitive deficits. They mainly focus on visual cues based on single …
domain-specific cognitive deficits. They mainly focus on visual cues based on single …
Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation
In this article we extend a recently introduced kinetic model for consensus-based
segmentation of images. In particular, we will interpret the set of pixels of a 2D image as an …
segmentation of images. In particular, we will interpret the set of pixels of a 2D image as an …
[HTML][HTML] Quantification of pulmonary involvement in COVID-19 pneumonia: an upgrade of the LungQuant software for lung CT segmentation
Computed tomography (CT) scans are used to evaluate the severity of lung involvement in
patients affected by COVID-19 pneumonia. Here, we present an improved version of the …
patients affected by COVID-19 pneumonia. Here, we present an improved version of the …
Comparison of the muscle oxygenation during submaximal and maximal exercise tests in patients post-coronavirus disease 2019 syndrome with pulmonary …
B Kavalcı Kol, M Boşnak Güçlü, E Baytok… - … Theory and Practice, 2025 - Taylor & Francis
Introduction Pulmonary involvement is prevalent in patients with coronavirus disease 2019
(COVID-19). Arterial hypoxemia may reduce oxygen transferred to the skeletal muscles …
(COVID-19). Arterial hypoxemia may reduce oxygen transferred to the skeletal muscles …