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Quanhao Zhu

2 accepted papers

2026

MedVCoT: Bridging the Modality Gap in Medical VQA Through Latent Visual Reasoning

IJCAI 2026

With the rising demand for trustworthy AI in clinical practice, strong interpretability is now a critical requirement as well as accuracy. However, the modality gap for medical visual question answering is quite severe when continuous visual signals are forcibly projected into discrete text space fo

Cited by 0Scholar
2025

EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos

IJCAI 2025

With the development of wearable cardiac ultrasound devices, it is no longer sufficient to solely rely on doctors for diagnosing long-term echocardiogram videos. Automated diagnosis of echocardiogram videos has now become a research hotspot. Existing studies only analyze echocardiogram video through