{"ID":2868848,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.15990","arxiv_id":"2509.15990","title":"DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis","abstract":"Multimodal data fusion is a key approach for enhancing diagnosis in medical applications. We propose an asymmetric fusion strategy starting from a primary modality and integrating secondary modalities by disentangling shared and modality-specific information. Validated on a dataset of 239 patients with echocardiographic time series and tabular records, our model outperforms existing methods, achieving an AUC over 90%. This improvement marks a crucial benchmark for clinical use.","short_abstract":"Multimodal data fusion is a key approach for enhancing diagnosis in medical applications. We propose an asymmetric fusion strategy starting from a primary modality and integrating secondary modalities by disentangling shared and modality-specific information. Validated on a dataset of 239 patients with echocardiographi...","url_abs":"https://arxiv.org/abs/2509.15990","url_pdf":"https://arxiv.org/pdf/2509.15990v1","authors":"[\"Jérémie Stym-Popper\",\"Nathan Painchaud\",\"Clément Rambour\",\"Pierre-Yves Courand\",\"Nicolas Thome\",\"Olivier Bernard\"]","published":"2025-09-19T13:57:29Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}