arXiv Machine Learning August 12, 2026 By Viraj Patel, Marko Grujic, Philipp Aigner, Theodor Abart, Marcus Granegger, Deblina Bhattacharjee, Katharine Fraser

Learning Disease-Sensitive Latent Interaction Graphs From Noisy Cardiac Flow Measurements

Read the original on arXiv Machine Learning →

arXiv:2602. 23035v2 Announce Type: replace Abstract: Cardiac blood flow patterns contain rich information about disease severity and clinical interventions, yet current imaging and computational methods fail to capture underlying relational structures of coherent flow features.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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