Runlong He

SurgAnt-ViVQA: learning to anticipate surgical events through GRU-driven temporal cross-attention

Abstract Purpose Anticipating forthcoming surgical events is vital for real-time assistance in endonasal transsphenoidal pituitary surgery, where visibility is limited and workflow changes rapidly. Most visual question answering (VQA) systems reason on isolated frames with static...