Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining

arXiv:2608.00231 · cs.CV · Submitted 2026-07-31 · Read on arXiv

cs.CV

Submitted: 2026-07-31

Updated: 2026-09-16

Terminology

Alignment — 18× in this paper · explained in 1 episode
Linear Probing — 10× in this paper · explained in 2 episodes
Consistency — 8× in this paper · explained in 3 episodes
Burden-Direction Alignment — 6× in this paper
Representation Learning — 6× in this paper · explained in 2 episodes
Ablation — 5× in this paper · explained in 1 episode
Foundation Model — 4× in this paper · explained in 3 episodes
Contrastive Learning — 3× in this paper · explained in 5 episodes
Core — 3× in this paper · explained in 2 episodes
Longitudinal Data — 3× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Zero-Shot Transfer — 2× in this paper · explained in 3 episodes
Accuracy — 1× in this paper · explained in 1 episode
Embeddings — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Grounding — 1× in this paper · explained in 3 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes

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