YANG , Yingyu

According to the 2023 annual report of the World Heart Federation, cardiovascular diseases (CVD) accounted for nearly one third of all global deaths in 2021. Compared to high-income countries, more than 80% of CVD deaths occurred in low and middle-income countries. The inequitable distribution of CVD diagnosis and treatment resources still...

According to the 2023 annual report of the World Heart Federation, cardiovascular diseases (CVD) accounted for nearly one third of all global deaths in 2021. Compared to high-income countries, more than 80% of CVD deaths occurred in low and middle-income countries. The inequitable distribution of CVD diagnosis and treatment resources still...

Echocardiography plays an important role in the diagnosis of cardiac dysfunction. In particular, motion estimation in echocardiography is a challenging task since ultrasound images suffer largely from low signal-to-noise ratio and out-of-view problems. Current deep learningbased models for cardiac motion estimation in the literature estimate...

2D Echocardiography is a popular and cost-efficient tool for cardiac dysfunction diagnosis. Automatic solutions that could effectively and efficiently analyse cardiac functions are highly desired in clinical situations. Segmentation and motion tracking are two important techniques to extract useful cardiac indexes, such as left ventricle...

In this paper, we are going to present the echOpen-Cardio project, which aims at developing low-cost open-source point-of-care ultrasound devices combined with robust artificial intelligence (AI) tools for cardiac disease diagnosis and therapy. We will first review the current market of ultrasound and the role of point of care ultrasound...

Image registration is an essential but challenging task in medical image computing, especially for echocardiography, where the anatomical structures are relatively noisy compared to other imaging modalities. Traditional (non-learning) registration approaches rely on the iterative optimization of a similarity metric which is usually costly in...

Automatic analysis of electrocardiograms with adequate explainability is a challenging task. Many deep learning based methods have been proposed for automatic classification of electrocardiograms. However, very few of them provide detailed explainable classification evidence. In our study, we explore explainable ECG classification through...

Medical devices used in cardiac diagnostics typically capture only one aspect of heart function. For instance, 2D B-mode echocardiography reveals the heart's anatomy and mechanical changes, while an electrocardiogram (ECG) records the heart's electrical activity from various positions. These examinations, essential for diagnosing cardiac...

Echocardiography is a widely used medical modality to evaluate cardiac function. Automatic solutions for 2D echocardiography analysis could greatly influence cardiac disease diagnosis and prognosis. Within its diverse analysis tasks, segmentation and motion estimation are critical. Segmentation provides insights into cardiac structures, while...

Right heart catheterisation is considered as the gold standard for the assessment of patients with suspected pulmonary hyper-tension. It provides clinicians with meaningful data, such as pulmonary capillary wedge pressure and pulmonary vascular resistance, however its usage is limited due to its invasive nature. Non-invasive alternatives, like...

Electrocardiograms are still vastly stored on paper, which restrains the development of data-driven algorithms for their analysis. We propose in this manuscript an efficient method to digitize Electrocardiogram (ECG) signals from paper images, as part of the "Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge...

Cross-modality data translation has attracted great interest in medical image computing. Deep generative models show performance improvement in addressing related challenges. Nevertheless, as a fundamental challenge in image translation, the problem of zero-shot learning cross-modality image translation with fidelity remains unanswered. To...