2 papers
cs.CV2026
NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
Hongxi Yang, Yiwen Jiang, Siyuan Yan +8
Interpretability is essential for trustworthy medical image diagnosis. However, existing concept-driven interpretable methods have key limitations: Concept Bottleneck Models (CBMs)…
eess.SP2024
A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification
Juan P. Meneses, Yasmeen George, Christoph Hagemeyer +2
Deep learning-based techniques have potential to optimize scan and post-processing times required for MRI-based fat quantification, but they are constrained by the lack of large tr…