Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
Review and prospect: artificial intelligence in advanced medical imaging
Artificial intelligence (AI) as an emerging technology is gaining momentum in medical
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images
Segmentation of infections from CT scans is important for accurate diagnosis and follow-up
in tackling the COVID-19. Although the convolutional neural network has great potential to …
in tackling the COVID-19. Although the convolutional neural network has great potential to …
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting
A general-purpose deformable registration algorithm referred to as “DRAMMS” is presented
in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and …
in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and …
On normalized mutual information: measure derivations and properties
TO Kvålseth - Entropy, 2017 - mdpi.com
Starting with a new formulation for the mutual information (MI) between a pair of events, this
paper derives alternative upper bounds and extends those to the case of two discrete …
paper derives alternative upper bounds and extends those to the case of two discrete …
Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights
Evaluating various algorithms for the inter-subject registration of brain magnetic resonance
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …
Diffusion kernel attention network for brain disorder classification
Constructing and analyzing functional brain networks (FBN) has become a promising
approach to brain disorder classification. However, the conventional successive construct …
approach to brain disorder classification. However, the conventional successive construct …
Multimodal registration via mutual information incorporating geometric and spatial context
Multimodal image registration is a class of algorithms to find correspondence from different
modalities. Since different modalities do not exhibit the same characteristics, finding …
modalities. Since different modalities do not exhibit the same characteristics, finding …
Alleviating semantics distortion in unsupervised low-level image-to-image translation via structure consistency constraint
Unsupervised image-to-image (I2I) translation aims to learn a domain mapping function that
can preserve the semantics of the input images without paired data. However, because the …
can preserve the semantics of the input images without paired data. However, because the …
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
With the rapidly worldwide spread of Coronavirus disease (COVID-19), it is of great
importance to conduct early diagnosis of COVID-19 and predict the conversion time that …
importance to conduct early diagnosis of COVID-19 and predict the conversion time that …