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Pathology-informed synthetic data improve robustness to severe scoliosis without new annotations or architecture changes in nnU-Net CNN and PRIMUS models under matched compute.
Accurate soft tissue simulation is essential for surgical training, pre-operative planning, and haptic feedback systems. While learning-based surrogate models trained on data using the finite element method (FEM) offer a promising path to real-time inference, their reliability depends on well-calibrated constitutive mo...
This entry extracts a bank of 136 literature-motivated physiological features from the measurements, stratified by sleep stage, and compute an age-residual feature for a curated set of 23 biomarkers with established age trends.
An automatic framework for continuous SA profiling from super-resolved MR volumes is proposed, extending conventional SA assessment to a continuous profile-based description of trochlear morphology without additional imaging, while remaining conceptually linked to current clinical assessment.
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