eess.IV · 2026-08-31 · No. 101
Image and Video Processing, 2026-08-31.
2 new papers in eess.IV. Titles, authors,
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01 — The papers
2 entries-
01
CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
Naren Akash, Arihanth Tadanki, Jayanthi Sivaswamy
eess.IV · cs.AI · cs.CV · cs.LG
We present CheXtriev, a graph-based, anatomy-aware framework for chest radiograph retrieval. Unlike prior methods focussed on global features, our method leverages graph transformers to extract informative features from specific anatomical regions. Furthermore, it captures spatial context and the interplay between anatomical location and findings. This contextualization, grounded in evidence-based anatomy, results in a richer anatomy-aware...
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02
Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
Naren Akash, Neeraja Ramanan
eess.IV · cs.AI · cs.CV · cs.LG
Interpreting a CT scan means comparing structures on either side, judging how far apart organs sit, and knowing where each one belongs. Medical vision encoders are evaluated on diagnostic accuracy, or through assembled multimodal systems where a failure is hard to attribute, so it remains unclear whether their representations support any of this. We construct SPAR-Bench, eight probes over multi-organ abdominal CT that separate coordinate...
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