2 papers
cs.CV2026
Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation
Gauthier Miralles, Loic Le Folgoc, Vincent Jugnon +1
Accurate 3D segmentation of cone-beam CT (CBCT) is critical for interventional and radiation therapy applications, yet it remains limited by two compounding challenges: the scarcit…
cs.CV2026
Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy
Gauthier Miralles, Loïc Le Folgoc, Vincent Jugnon +1
In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that provides guidance to practicians during minimally invasive procedures. CBCT dif…