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Chao Sun

5 papers indexed

arxivcs.RO2026-07-23

RL-MACRO: A Cybernetic Closed-Loop Intelligence Framework for Multimodal Adaptive Robotic Craniotomy

Xiao Zhang, Jiaxuan Li, Renzhen Le, Di Wu, Chao Sun, Jiachen Zhu, et al.

Autonomous robotic craniotomy requires continuous regulation of tool-tissue interactions to mitigate mechanical overload and thermal damage while maintaining surgical efficiency. However, this process is inherently partially observable due to unknown, time-varying tissue properti…

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arxivcs.RO2026-07-22

Defer to Plan: Adaptive Multi-Agent Fusion for End-to-End V2X Driving

Nuoran Li, Zhang Zhang, Yueran Zhao, Tianze Wang, Chao Sun

Vehicle-to-everything-aided autonomous driving (V2X-AD) significantly enhances driving performance through information sharing. However, existing collaborative perception methods only optimize module-level perception capabilities and fail to effectively serve the ultimate plannin…

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arxivcs.CV2026-07-06

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

Qiuhua Chen, Changning Yu, Na Huang, Chao Sun, Bo Du

The diagnosis of spinal diseases is often assisted by 3D imaging techniques in clinical practice. However, precise 3D spinal assessment is limited by the high costs of 3D imaging hardware and the challenges posed by the physical differences between imaging modalities, which hinde…

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arxivcs.CVcs.AI2026-06-28

SonoCLIP: Mask-Guided Region-Aware Vision-Language Pretraining for Fetal Ultrasound Analysis

Hang Su, Chao Sun, Zhaofan Li, Wei Hu, Juhua Liu, Bo Du

Vision-language foundation models have shown strong potential in medical image analysis. Although foundation models for ultrasound imaging have recently emerged, the domain remains particularly challenging due to severe speckle noise, acquisition variability, and subtle anatomica…

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crossrefDiagnostics2026-05-27

Hybrid Deep Learning–Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma

Chao Sun, Jie Sun, Feng Wei, Shujie Yang, Weili Ba, Yiming Li

Objectives: To develop and validate a hybrid deep learning–machine learning (DL-ML) fusion model for noninvasive preoperative differentiation of solitary pulmonary mucinous adenocarcinoma (SPMA). Methods: A total of 200 patients with pathologically confirmed lung adenocarcinoma,…

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