AI RESEARCH
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
arXiv CS.CV
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ArXi:2603.09840v1 Announce Type: cross Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy (ULM), can resolve microvasculature beyond the acoustic diffraction limit. However, significant challenges remain in localisation performance and data acquisition and processing time. Deep learning methods for ULM have shown promise to address these challenges, however, they remain limited by in vivo label scarcity and the simulation-to-reality domain gap.