Program

Regular papers

08:00-08:10	Welcome
08:10-08:45	Keynote: Biomechanics modeling enhanced by AI Associate Professor Hyun Jin Kim, KAIST
	Oral Session 1
08:45-09:00	Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation Rygiel, P., Suk, J., Yeung, K., Brune, C., Wolterink, J.
09:00-09:15	LGESynthNet: Controlled Scar Synthesis for Improved Scar Segmentation in Cardiac LGE-MRI Imaging Jacob, A., Sharma, P., Rueckert, D.
09:15-09:30	A comprehensive Pipeline for Aortic Segmentation and Shape Analysis Shehata, N., Elsawy, A., Nagy, M., ElMahdy, M., Ali, M., Romeih, S., Aguib, H., Yacoub, M., Glocker, B.
09:30-09:45	Fast multi-label parameterization of the left atrium by learned template morphing Castaneda, E., Raghunath, A., Meister, F., Weiss, M., Mihalef, V., Ashikaga, H., Maier, A., Passerini, T., Lluch, È.
09:45-10:00	Groupwise Registration with Physics-Informed Test-Time Adaptation on Multi-parametric Cardiac MRI Li, X., Zhang, Y., Huang, L., Chang, H., Niendorf, T., Ku, M., Tao, Q., Yang, H.
10:00-10:30	Coffee break
	Oral Session 2
10:30-10:45	Comprehensive 4D flow MRI characterization of left atrial hemodynamic flow components in hypertension and hypertrophic cardiomyopathy Casademunt, P., Morales, X., Elsayed, A., Zhao, D., Loncaric, F., Quill, G., Ramos, M., Doltra, A., Sitges, M., Lowe, B., Young, A., Nash, M., Camara, O.
10:45-11:15	Poster teaser
11:15-12:15	Poster session (see list of accepted papers)
12:15-12:30	Closing