3 papers
cs.CV2026
Lesion Detection in CT with Frozen Self-Distilled Features: SALT, a Spatially Adaptive Label-Guided Temperature
Mahmut S. Gokmen, Evan W. Damron, Mitchell A. Klusty +3
Self-supervised pretraining objectives are spatially uniform: the teacher temperature and the per-patch loss weight are identical everywhere in the image, so a lesion a few patches…
cs.CV2026
DALE-CT: Depth-Aware Foundation Models for Computed Tomography
Evan W. Damron, Mahmut S. Gokmen, Mitchell A. Klusty +3
Recent breakthroughs in self-supervised learning (SSL), such as the Latent-Euclidean Joint-Embedding Predictive Architecture (LeJEPA), alongside successes in integrating visual enc…
cs.CV2026
Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression
V. K. Cody Bumgardner, Mitchell A. Klusty, Mahmut S. Gokmen +1
Automated radiology report generation from 3D computed tomography (CT) volumes is challenging due to extreme sequence lengths, severe class imbalance, and the tendency of large lan…