Abstract

Conditional segmentation models may be trained and eval- uated with auxiliary signals cleaner than those available at deployment. We study this protocol-level manifestation of shortcut learning and auxiliary-variable shift in phase-conditioned echocardiographic segmen- tation. The complementary gap pair (∆oe , ∆or ) measures loss on the deployable oracle–estimated pathway and probes sensitivity on the oracle–random pathway. On held-out CAMUS data, one strong-cyclic, oracle-selected run fails severely with estimated phase, while sensitivity to incorrect phase persists across three runs. On EchoNet-Dynamic, the current estimator remains usable, but random-phase testing re- veals strong latent sensitivity. Deployment-aware checkpoint selection and phase perturbation reduce both gaps with little change in mean Dice. Exploratory subgroup analyses quantify variation across measured strata, and a downstream ejection-fraction (EF) audit shows that re- covering segmentation does not necessarily recover EF error or signed bias. Together, the gaps test whether oracle-conditioned performance survives the inference pathway actually available at deployment. Code: GitHub repository.

Links to Paper and Supplementary Materials

Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/FAIMI-BRIDGE-EPIMI_012.pdf

SharedIt Link: Not yet available

SpringerLink (DOI): Not yet available

Supplementary Material: Not Submitted

Link to Open Review

Open Review Page: https://openreview.net/forum?id=voE41AMdP9&nesting=2&sort=date-desc

BibTex

@InProceedings{CaoDan_When_FAIMIBRIDGEEPIMI_MICCAISAT2026,
        author = { Cao, Dang P. M. AND Pham, Hieu D. AND Pham, Hieu},
        title = { { When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation } },
        booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
        year = {2026},
        publisher = {Springer Nature Switzerland},
        volume = {LNCS 17279},
        month = {pending},
        page = {pending}
}


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