Jyothi Samanth

TL;DR: A novel computer aided diagnosis system for the automated detection of coronary artery disease using echocardiography images taken from four chamber heart is presented and it can be used as a diagnosis tool in hospitals and polyclinics for confirming the findings of clinicians.

TL;DR: In this paper , a review of state-of-the-art machine and deep learning-based methods for emotion recognition has been presented, based on EEG, speech, facial expression, and multimodal features.

TL;DR: This paper proposes a computer aided diagnosis (CAD) tool, using ultrasound images, to expedite the screening of PH, and presents a comparison with variants indicates improved performance of the proposed globally weighted LBP.

TL;DR: Dynamic parameters such as the respiratory variation in aortic flow peak velocity (ΔVpeak) and inferior vena cava distensibility index (dIVC) are accurate indices of fluid responsiveness in adults and are reliable indices in children.

TL;DR: An automated screening method for classifying normal and CHF echocardiographic images affected due to DCM using variational mode decomposition technique, which can effectively detect CHF in its early stage using ultrasound images and aid the clinicians in their diagnosis.