## 1 Introduction  
According to the World Health Organization, cardiovascular diseases (CVD) are among the leading causes of global mortality. In 2005, they accounted for 17 out of 58 million worldwide deaths, of which 7.6 million were due to coronary heart disease (CHD) [1]. Myocardial infarction (MI), also known as heart attack, is one of the ways in which CHD can appear [1]. This condition refers to the damage or death of a particular portion of the heart muscle (myocardium) due to an unexpected interruption or decrease of blood supply, which is caused by coronary artery blocks. Nowadays, several strategies are used in medical practice for MI diagnosis, namely, analysis of electrocardiogram (ECG), tracking of the levels of biomarkers that could suggest potential myocardial tissue damage or death, and medical imaging. This latter embodies different techniques, which include echocardiography, scintigraphy, magnetic resonance imaging (MRI), and computed tomography (CT) [2]. After the heart has suffered from an event of MI, it is essential to evaluate the viability of the myocardium [3;4]. According to [PERSON] et al. [5], one of the de facto definitions of viability is \"recovery of contractile function following revascularization\". In medical practice, there are two main cardiac MRI techniques for evaluating the structure and function of the heart: kinetic (Cine) and delayed enhancement (DE) MRI. As its name suggests, the latter is performed several minutes after the injection of a gadolinium-based contrast agent [3]. Due to its nature, Cine MRI is more suitable for performing local and global heart motion and contraction analysis, whereas DE MRI provides valuable insights to assess myocardial tissue damage since the contrast agent allows these areas to be highlighted. The principle of the presence of hypersignal in diseased areas on DE MRI is based on the delayed washout of the gadolinium-based contrast agent in the myocardium due to an increased proportion of extracellular space. This abnormal proportion of extracellular space arises from the presence of fibrosis or edema. The viability of the myocardium involves analyzing the MI extent, which is generally performed on short-axis images and requires the segmentation of the myocardium. This segmentation can be performed manually, but this process is time consuming and prone to inter-operator variability. Therefore, automatized approaches appear to be an appropriate alternative to perform such a task, which can be very challenging due to different factors such as artifacts and noise in the image, but notably due to the varying contrast between normal and abnormal myocardial tissue since the MI appearance ranges from being bright and well defined to being subtle and heterogeneous. International challenges such as EMIDEC in 2020 [3;4] validate the need for having reliable and robust automatic methods to perform this task. It is important to notice that DE-MRI is not only performed for the evaluation of MI. Indeed, this technique can be used to evaluate other diseases, where there is the presence of fibrosis or edema, such as myocarditis, and hypertrophic cardiomyopathy, among others. The main difference between these diseases is the localization of the bright signal at the level of the myocardium on DE MRI. When assessing myocardial viability, both MRI modalities can offer complementary information. Therefore, it is natural to think that leveraging information from Cine MRI can have a positive influence on the segmentation performance in DE MRI, which entails addressing the problem as a multi-modality one. For instance, in the work of [PERSON] et al. [6], they automatically segmented the corresponding Cine MRI and used it as a segmentation prior that was deformed to maximize the overlap with the correct segmentation on DE MRI. This fit was performed through an affine registration procedure that included translation, shearing, and scaling operations. In the work of [PERSON] et al.