Regional multi-view learning for cardiac motion analysis: Application to identification of dilated cardiomyopathy patients
Objective: The aim of this paper is to describe an automated diagnostic pipeline that uses as
input only ultrasound (US) data, but is at the same time informed by a training database of …
input only ultrasound (US) data, but is at the same time informed by a training database of …
[HTML][HTML] A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data
Cardiac motion atlases provide a space of reference in which the motions of a cohort of
subjects can be directly compared. Motion atlases can be used to learn descriptors that are …
subjects can be directly compared. Motion atlases can be used to learn descriptors that are …
Regional multiscale motion representation for cardiac disease prediction
A Moreno, J Rodriguez… - 2019 XXII Symposium on …, 2019 - ieeexplore.ieee.org
Heart characterization is a challenging task due to the non-linear dynamic performance and
the strong shape deformation during the cardiac cycle. This work presents a regional …
the strong shape deformation during the cardiac cycle. This work presents a regional …
[HTML][HTML] Machine learning approaches for myocardial motion and deformation analysis
Information about myocardial motion and deformation is key to differentiate normal and
abnormal conditions. With the advent of approaches relying on data rather than pre …
abnormal conditions. With the advent of approaches relying on data rather than pre …
A Multimodal Database for the 1 st Cardiac Motion Analysis Challenge
C Tobon-Gomez, M De Craene, A Dahl… - Statistical Atlases and …, 2012 - Springer
This paper describes the acquisition of the multimodal database used in the 1 st Cardiac
Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D …
Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D …
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database
In this paper we present a benchmarking framework for the validation of cardiac motion
analysis algorithms. The reported methods are the response to an open challenge that was …
analysis algorithms. The reported methods are the response to an open challenge that was …
[HTML][HTML] A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: application to cardiac resynchronisation therapy …
We present a framework for combining a cardiac motion atlas with non-motion data. The
atlas represents cardiac cycle motion across a number of subjects in a common space …
atlas represents cardiac cycle motion across a number of subjects in a common space …
[HTML][HTML] Morphologically normalized left ventricular motion indicators from MRI feature tracking characterize myocardial infarction
We characterized motion attributes arising from LV spatio-temporal analysis of motion
distributions in myocardial infarction. Time-varying 3D finite element shape models were …
distributions in myocardial infarction. Time-varying 3D finite element shape models were …
Automated myocardial wall motion classification using handcrafted features vs a deep cnn-based mapping
HA Omar, A Patra, JS Domingos… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Compared to other modalities such as computed tomography or magnetic resonance
imaging, the appearance of ultrasound images is highly dependent on the expertise of the …
imaging, the appearance of ultrasound images is highly dependent on the expertise of the …
MulViMotion: Shape-aware 3D myocardial motion tracking from multi-view cardiac MRI
Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR)
imaging enables the assessment of regional myocardial function and is important for …
imaging enables the assessment of regional myocardial function and is important for …