21 citations · 23 across the 3 of their papers we have counts for
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cs.CV2024★ 1 cited
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Aldo Marzullo, Marta Bianca Maria Ranzini
Zero-shot anomaly detection (ZSAD) offers potential for identifying anomalies in medical imaging without task-specific training. In this paper, we evaluate CLIP-based models, origi…
cs.CV2020★ 1 cited
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework
Marta B. M. Ranzini, Irme Groothuis, Kerstin Kläser +5
Metal artefact reduction (MAR) techniques aim at removing metal-induced noise from clinical images. In Computed Tomography (CT), supervised deep learning approaches have been shown…