works on
biomarker validation 1imaging foundation models 1negative controls 1radiomics 1volume confounding 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CV2026

Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features

Katy L. Scott, Sejin Kim, Joshua Siraj +6

The paper presents READII-2-ROQC, an open‑source framework that uses volume‑preserving negative controls to test whether radiomic and deep imaging features capture genuine spatial…