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Bernhard Kainz

2 papers indexed

openalexFrontiers in Radiology2026-07-24

Image-conditioned latent rectified flow models for 3D medical anomaly localisation

Matthew Baugh, Johanna P. Müller, Sarah Cechnicka, Kexin Gu Baugh, John Bonnici, James Myles, et al.

Introduction Reconstruction-based methods offer a promising solution for unsupervised anomaly detection in medical imaging tasks. These methods train generative models on healthy data alone and identify anomalies as deviations between an input image and its pseudo-healthy reconst…

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arxivcs.LGcs.AI2026-06-26

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

Zuoou Li, Wenlong Zhao, Kelly Yu, Weitong Zhang, Paul M. Matthews, Wenjia Bai, et al.

Identifying robust associations between cardiac imaging phenotypes and clinical diseases is fundamental to population-scale cardiovascular research and reliable risk stratification. However, current phenome-wide association studies rely on pre-defined, single-variable phenotypes…

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