Author

Naren Akash

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#artificial intelligence Aug 2026

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

This work presents CheXtriev, a graph-based, anatomy-aware framework for chest radiograph retrieval that leverages graph transformers to extract informative features from specific anatomical regions and captures spatial context and the interplay between anatomical location and findings.

Naren Akash, Arihanth Tadanki, J. Sivaswamy · International Conference on... · 1 citation

#artificial intelligence Preprint Aug 2026

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

The results suggest medical vision encoders carry a map of where organs usually lie, and little of the machinery for comparing structures within a particular patient, in addition to five architectural configurations and three medical foundation models, frozen and finetuned.

Naren Akash, Neeraja Ramanan · 0 citations