collaborators

5 papers

eess.IV2026

Dual-Phase Cross-Modal Contrastive Learning for CMR-Guided ECG Representations for Cardiovascular Disease Assessment

Laura Alvarez-Florez, Angel Bujalance-Gomez, Femke Raijmakers +7

Cardiac magnetic resonance imaging (CMR) offers detailed evaluation of cardiac structure and function, but its limited accessibility restricts use to selected patient populations.…

cs.CV2026

Synthesis of Late Gadolinium Enhancement Images via Implicit Neural Representations for Cardiac Scar Segmentation

Soufiane Ben Haddou, Laura Alvarez-Florez, Erik J. Bekkers +4

Late gadolinium enhancement (LGE) imaging is the clinical standard for myocardial scar assessment, but limited annotated datasets hinder the development of automated segmentation m…

cs.CV2026

Fighting MRI Anisotropy: Learning Multiple Cardiac Shapes From a Single Implicit Neural Representation

Carolina Brás, Soufiane Ben Haddou, Thijs P. Kuipers +5

The anisotropic nature of short-axis (SAX) cardiovascular magnetic resonance imaging (CMRI) limits cardiac shape analysis. To address this, we propose to leverage near-isotropic, h…

cs.CV2026

Neural Implicit 3D Cardiac Shape Reconstruction from Sparse CT Angiography Slices Mimicking 2D Transthoracic Echocardiography Views

Gino E. Jansen, Carolina Brás, R. Nils Planken +3

Accurate 3D representations of cardiac structures allow quantitative analysis of anatomy and function. In this work, we propose a method for reconstructing complete 3D cardiac shap…

cs.CV2025

Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos

Gino E. Jansen, Mark J. Schuuring, Berto J. Bouma +1

This work presents a novel approach to achieving temporally consistent mitral annulus landmark localization in echocardiography videos using sparse annotations. Our method introduc…