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cs.CV2026
Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications
S. Sifaoui, E. Angelini, S. Toupin +2
Dense self-supervised learning (SSL) is a powerful paradigm for learning without annotations the local descriptors required to solve dense medical imaging tasks. We present Pix2Rep…
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…