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Raghav Mehta

2 papers indexed

arxivcs.CVcs.AI2026-07-11

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Giang Nguyen, Raghav Mehta, Emma A. M. Stanley, Tian Xia, Thi Hao Nguyen, Hieu Pham, et al.

Foundation models are increasingly used as image feature extractors for mammography, but their robustness under external domain shift remains unclear. We benchmark 15 foundation-model backbones across breast density, BI-RADS severity, and cancer status using a unified frozen-back…

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arxivcs.CVcs.AI2026-07-11

GRC-ProbNet: Uncertainty-aware Feature Extraction for Cardiovascular Disease Classification

Yash Shah, Omar Todd, Philipp Seeböck, Georg Langs, Ben Glocker, Raghav Mehta

The automatic detection and classification of cardiovascular disease (CVD) from computed tomography (CT) images plays an important role in clinical practice. Recently, a hybrid pipeline (GRC-Net) for CVD classification was proposed, which leverages a deep-learning-based segmentat…

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