Sen Kim Tran — accepted AI-conference papers

2025

Interactive Medical Image Analysis with Concept-based Similarity Reasoning

Ta Duc Huy, Sen Kim Tran, Phan Nguyen, Nguyen Hoang Tran, Tran Bao Sam, Anton van den Hengel +4

CVPR 2025poster

The ability to interpret and intervene model decisions is important for the adoption of computer-aided diagnosis methods in clinical workflows. Recent concept-based methods link the model predictions with interpretable concepts and modify their activation scores to interact with the model. However,…

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2025

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding

Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen +7

ICCV 2025poster

Visual grounding (VG) is the capability to identify the specific regions in an image associated with a particular text description. In medical imaging, VG enhances interpretability by highlighting relevant pathological features corresponding to textual descriptions, improving model transparency and…

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