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cs.CV2026
Answer or Defer? Testing VLMs' Stated Confidence on Brain MRI
Amir Sabbaghziarani, Parsa Ghazvinian, Sepehr Salem +1
Vision-language models (VLMs) could support medical-image interpretation, but their use requires deciding which interpretations to accept and which images to refer to a clinician.…
cs.CV2026
FlexSplat: Flexible Feed-Forward 3D Gaussian Splatting without Point Cloud Correspondence
Amir Sabbaghziarani, Hanting Ye, Maria Gorlatova +1
We present FlexSplat, a feed-forward framework for novel view synthesis (NVS) from uncalibrated, object-centric multi-view image collections. A recent line of query-based methods r…
cs.CV2026
Confident but Unreliable: A Behavioral Safety Audit of Vision-Language Models on Brain MRI
Amir Sabbaghziarani, Mohammadsajad Abavisani, Sergey Plis
Vision-language models (VLMs), including medical specialists, are increasingly proposed for medical imaging, yet their stated confidence is rarely evaluated separately from correct…