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20232026
most citedDeep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

1 citations · 1 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.IV2026

ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Omer Burak Demirel, Kelly K. Horst, Alessio Perazzolo +15

Cardiovascular magnetic resonance (CMR) provides comprehensive cardiac assessment but remains underutilized because of the complexity of acquisition, post-processing, and interpret…

cs.CV2026

LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation

Jiacheng Wang, Ivana Isgum, Ipek Oguz

Whole-heart segmentation (WHS) in computed tomography (CT) and magnetic resonance imaging (MRI) is affected by acquisition shifts and heterogeneous cardiac annotations. Existing WH…

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…