Number of documents


Martin Genet

My original background is in Computational Mechanics and Computational Materials Science. The ultimate aspiration of my current research is to use the fundamental laws of physics and the power of modern computing and imaging facilities to improve cardiology.

Professional page:

"Liang Zhong"   

Journal articles3 documents

  • Henrik Finsberg, Ce Xi, Ju Le Tan, Liang Zhong, Martin Genet, et al.. Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization. International Journal for Numerical Methods in Biomedical Engineering, John Wiley and Sons, 2018, 34 (7), pp.e2982. ⟨10.1002/cnm.2982⟩. ⟨hal-01882363⟩
  • Hua Zou, Ce Xi, Xiaodan Zhao, Angela Koh, Fei Gao, et al.. Quantification of Biventricular Strains in Heart Failure With Preserved Ejection Fraction Patient Using Hyperelastic Warping Method. Frontiers in Physiology, Frontiers, 2018, 9, ⟨10.3389/fphys.2018.01295⟩. ⟨hal-01882365⟩
  • Ce Xi, Candace Latnie, Ju Le Tan, Samuel T. Wall, Martin Genet, et al.. Patient-Specific Computational Analysis of Ventricular Mechanics in Pulmonary Arterial Hypertension. Journal of Biomechanical Engineering, American Society of Mechanical Engineers, 2016, 138 (11), ⟨10.1115/1.4034559⟩. ⟨hal-01427545⟩

Conference papers1 document

  • Ce Xi, Xiaodan Zhao, Liang Zhong, Martin Genet, Chuan Lee. Quantification of biventricular myocardial strain from magnetic resonance images of pulmonary hypertensive patients using hyperelastic warping. Summer Biomechanics, Bioengineering and Biotransport Conference (SB3C2016), Jun 2016, National Harbor, United States. ⟨hal-01571500⟩