1 citations · 1 across the 11 of their papers we have counts for
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ReDiS: Reasoning-Diagnosis Self-Evolution for Multimodal Reasoning in Remote Sensing
Yi Liu, Wentao Jiang, Shuo Ni +5
Multimodal large language models (MLLMs) have shown strong potential for remote sensing understanding, yet reliable reasoning remains challenging when tasks require fine-grained vi…
LocAnyMed: Vision-Language Grounding for Multimodal Medical Images
Zihan Wang, Tong Liu, Zhiwei Wang +6
Medical visual grounding connects free-form clinical queries to spatial evidence in medical images and is an important component of interpretable medical artificial intelligence. H…
Echo-DM: Ultrasound Marker Removal via Conditional Latent Diffusion and Region-Aware Fusion
Zhiwei Wang, Tao Huang, Wentao Jiang +7
Clinical ultrasound images often contain artificial markers, such as measurement calipers and text, to assist diagnostic interpretation and comparison. However, these markers can i…
SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound
Jing Zhang, Duojie Chen, Wentao Jiang +7
Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimization, yet current systems lack the anatomical understanding needed to determine wha…
Echo-α: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation
Jing Zhang, Wentao Jiang, Tao Huang +8
Ultrasound interpretation requires both precise lesion localization and holistic clinical reasoning, yet existing methods typically excel at only one of these capabilities: special…