2 papers
eess.IV2025
Foundation Models in Medical Imaging: A Review and Outlook
Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu +10
Foundation models (FMs) are changing the way medical images are analyzed by learning from large collections of unlabeled data. Instead of relying on manually annotated examples, FM…
cs.CV2025
Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations
Pierandrea Cancian, Simone Saitta, Xiaojin Gu +10
In intracoronary optical coherence tomography (OCT), blood residues and gas bubbles cause attenuation artifacts that can obscure critical vessel structures. The presence and severi…