TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class glioblastoma response classification on longitudinal 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.
arXiv preprint arXiv:2402.05945 (2024) 3
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Post-hoc CBMs produce unfaithful concept projections due to covariate shifts and systematic label noise; new metrics are introduced to measure faithfulness separately from accuracy.
citing papers explorer
-
TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment
TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class glioblastoma response classification on longitudinal 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.
-
On the Faithfulness of Post-Hoc Concept Bottleneck Models
Post-hoc CBMs produce unfaithful concept projections due to covariate shifts and systematic label noise; new metrics are introduced to measure faithfulness separately from accuracy.