4 papers
Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
Abu Noman Md Sakib, OFM Riaz Rahman Aranya, Kevin Desai +1
Attribution maps for semantic segmentation are almost always judged by visual plausibility. Yet looking convincing does not guarantee that the highlighted pixels actually drive the…
To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
OFM Riaz Rahman Aranya, Kevin Desai
Vision-language models (VLMs) adapted to the medical domain have shown strong performance on visual question answering benchmarks, yet their robustness against two critical failure…
TRACE: Temporal Radiology with Anatomical Change Explanation for Grounded X-ray Report Generation
OFM Riaz Rahman Aranya, Kevin Desai
Temporal comparison of chest X-rays is fundamental to clinical radiology, enabling detection of disease progression, treatment response, and new findings. While vision-language mod…
SRA-Seg: Synthetic to Real Alignment for Semi-Supervised Medical Image Segmentation
OFM Riaz Rahman Aranya, Kevin Desai
Synthetic data, an appealing alternative to extensive expert-annotated data for medical image segmentation, consistently fails to improve segmentation performance despite its visua…