Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

Echocardiography (echo) is a critical tool in diagnosing various cardiovascular diseases.
Despite its diagnostic and prognostic value, interpretation and analysis of echo images are …

Echocardiography (echo) is a skilled technical procedure that depends on the experience of
the operator. The aim of this paper is to reduce user variability in data acquisition by …

This study extends the state of the art of deep learning convolutional neural network (CNN)
to the classification of video images of echocardiography, aiming at assisting clinicians in …

As part of striving towards fully automatic cardiac functional assessment of
echocardiograms, automatic classification of their standard views is essential as a pre …

Abstract Interpretation of ultrasound videos of the fetal heart is crucial for the antenatal
diagnosis of congenital heart disease (CHD). We believe that automated image analysis …

Muscle contraction results in structural and morphologic changes of the related muscle.
Therefore, finger flexion can be monitored from measurements of these morphologic …

Cristianini et al.,“On Kernel-Target Alignment.” NIPS, 2002, pp. 367-373. http://research.
microsoft. com/en-us/um/people/manik projects/trade-off papers/CristianiniNIPS01. pdf. Dick …

Acquisition of the standard plane is the prerequisite of biometric measurement and
diagnosis during the ultrasound (US) examination. In this paper, a new algorithm is …

In this work, we study the performance of a two-stage ensemble visual machine learning
framework for classification of medical images. In the first stage, models are built for subsets …