Author

D. Cao

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Preprint Aug 2026

Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation

Surgical segmentation networks can fail silently under acquisition degradation: predicted masks may be wrong even when model confidence remains high. Existing deployment-time monitors rely primarily on uncertainty estimates and can therefore miss confident failures. We present TCSR-Monitor (Temporal Conformal Surgical...

Hieu D. Pham, D. Cao, T. Huynh · 0 citations

Preprint Sep 2026

Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Portable ultra-low-field (ULF) MRI can expand access to pediatric neuroimaging, but segmentation at 0.064 T remains challenging because anatomical boundaries are weakly delineated, small structures may be only partially visible, and high-field references can be locally misregistered. The LISA 2026 Challenge provides tw...

Ha-Hieu Pham, D. Cao, Minh Bá Hoàng Phạm et al. · 0 citations

#artificial intelligence Preprint Aug 2026

When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation

The complementary gap pair measures loss on the deployable oracle-estimated pathway and probes sensitivity on the oracle-random pathway to test whether oracle-conditioned performance survives the inference pathway actually available at deployment.

D. Cao, Hieu D. Pham, Hieu Pham · 0 citations