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Biomedical Imaging RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research
Sarah de Boer, H. Häntze, S. Ziegelmayer et al.
· 0 citations
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Open access
Sep 2026
Epicardial adipose tissue in paroxysmal and persistent atrial fibrillation ablation using photon counting CT and automated 3D atrial segmentation: The Prospective AFAT Study.
BACKGROUND Epicardial adipose tissue (EAT) may contribute to atrial fibrillation (AF) pathogenesis and recurrence after catheter ablation, but data using precise volumetric quantification alongside systematic body composition assessment are limited. OBJECTIVE To quantify biatrial EAT using photon-counting CT (PCCT) w...
N. Erhard, F. Bahlke, S. Prommersberger et al.
· Heart Rhythm · 1 citation
RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research
Contrast-enhanced computed tomography (CT) is central to the diagnosis, staging, and follow-up of patients with renal cell carcinoma (RCC). As artificial intelligence research into computer-aided solutions continues to grow, the need for curated and annotated datasets becomes increasingly important. Imaging-based artif...
Sarah de Boer, H. Häntze, S. Ziegelmayer et al.
· Machine Learning for Biomedi... · 1 citation