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Utilizing local phase information to remove rain from video
V Santhaseelan, VK Asari - International Journal of Computer Vision, 2015 - Springer
In the context of extracting information from video, bad weather conditions like rain can have
a detrimental effect. In this paper, a novel framework to detect and remove rain streaks from …
a detrimental effect. In this paper, a novel framework to detect and remove rain streaks from …
Classification on the monogenic scale space: Application to target recognition in SAR image
G Dong, G Kuang - IEEE Transactions on Image Processing, 2015 - ieeexplore.ieee.org
This paper introduces a novel classification strategy based on the monogenic scale space
for target recognition in Synthetic Aperture Radar (SAR) image. The proposed method …
for target recognition in Synthetic Aperture Radar (SAR) image. The proposed method …
Myocardial function imaging in echocardiography using deep learning
Deformation imaging in echocardiography has been shown to have better diagnostic and
prognostic value than conventional anatomical measures such as ejection fraction …
prognostic value than conventional anatomical measures such as ejection fraction …
A pipeline for the generation of realistic 3D synthetic echocardiographic sequences: Methodology and open-access database
Quantification of cardiac deformation and strain with 3D ultrasound takes considerable
research efforts. Nevertheless, a widespread use of these techniques in clinical practice is …
research efforts. Nevertheless, a widespread use of these techniques in clinical practice is …
Motion estimation by deep learning in 2D echocardiography: synthetic dataset and validation
E Evain, Y Sun, K Faraz, D Garcia… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Motion estimation in echocardiography plays an important role in the characterization of
cardiac function, allowing the computation of myocardial deformation indices. However …
cardiac function, allowing the computation of myocardial deformation indices. However …
Image registration based on autocorrelation of local structure
Z Li, D Mahapatra, JAW Tielbeek… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Registration of images in the presence of intra-image signal fluctuations is a challenging
task. The definition of an appropriate objective function measuring the similarity between the …
task. The definition of an appropriate objective function measuring the similarity between the …
Ultrasound-image-based cardiovascular tissue motion estimation
The estimation of cardiovascular tissue motion from ultrasound images is a task of
considerable importance but has remained difficult in clinical practice, mainly due to the …
considerable importance but has remained difficult in clinical practice, mainly due to the …
SequenceMorph: A unified unsupervised learning framework for motion tracking on cardiac image sequences
Modern medical imaging techniques, such as ultrasound (US) and cardiac magnetic
resonance (MR) imaging, have enabled the evaluation of myocardial deformation directly …
resonance (MR) imaging, have enabled the evaluation of myocardial deformation directly …
Classification via sparse representation of steerable wavelet frames on Grassmann manifold: Application to target recognition in SAR image
G Dong, G Kuang, N Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Automatic target recognition has been widely studied over the years, yet it is still an open
problem. The main obstacle consists in extended operating conditions, eg., depression …
problem. The main obstacle consists in extended operating conditions, eg., depression …
[HTML][HTML] Early myocardial infarction detection over multi-view echocardiography
Myocardial infarction (MI) is the leading cause of mortality in the world. Its early diagnosis
can mitigate the extent of myocardial damage by facilitating early therapeutic interventions …
can mitigate the extent of myocardial damage by facilitating early therapeutic interventions …