Yingyu Yang

According to our database, Yingyu Yang authored at least 8 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automatic analysis of cardiac function with artificial intelligence : multimodal approach for portable echocardiographic devices. (Analyse automatique de la fonction cardiaque par intelligence artificielle : approche multimodale pour un dispositif d'échocardiographie portable).

Yingyu Yang

PhD thesis, 2023

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion.

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

CoRR, 2023

Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation.

Yingyu Yang, Maxime Sermesant

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection.

Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers.

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis.

Yingyu Yang, Maxime Sermesant

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2019

Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based?

Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2007

Investigation on Sparse Kernel Density Estimator Via Harmony Data Smoothing Learning.

Xuelei Hu, Yingyu Yang

Proceedings of the Advances in Neural Networks, 2007