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Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Paper recorded by Signals 4 on 2026-09-10 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.CV · 计算机视觉 · first seen 2026-09-11

Abstract

Accurate identification of end-diastole (ED) and end-systole (ES) in echocardiography underpins the quantification of ventricular function, yet manual selection of these key frames is subjective and introduces clinically significant inter-operator variability. Recent self-supervised methods either prescribe strict periodic trajectories or learn an unconstrained low-dimensional motion subspace from

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#88 most recent of 237 cs.CV papers we have recorded · ↑ newer: Multimodal Taxonomic Conditioning for Generative Plankton Imagery · ↓ older: Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation
Cite this page: Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits: the #88 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-supervised-cardiac-phase-detection-via-single-parameter-latent-orbits.html
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