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Rui Chen

6 papers indexed

openalexFrontiers in Oncology2026-07-24

Liver resection is associated with better survival than TACE for hepatocellular carcinoma modestly beyond Milan criteria: a multicenter propensity-matched analysis

Xiaoyan Fan, Guobin Sun, Yong Meng, Liu Xm, Li Zhang, Yan Peng, et al.

Background and aim Liver transplantation (LT) is considered the optimal treatment for hepatocellular carcinoma (HCC) within extended transplant criteria, but it is available to only a minority of patients. The optimal alternative treatment strategy for patients with HCC beyond th…

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openalexScientific Reports2026-07-23

ASC-YOLOv8n: Enhanced multi-scale feature fusion for accurate detection of four cigar appearance defects

Xinan Yang, Tao Liu, Xinyi Li, Xi Hu, Jing Gao, Xiaolong Yi, et al.

Abstract The appearance defects of cigars can significantly compromise their overall quality, with detection currently relying mainly on manual inspection, a process that is time-consuming and inefficient. The ASC-YOLOv8n model has been proposed for high-precision automated defec…

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arxivcs.CV2026-07-15

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment

Geng Li, Haiwen Li, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu

Video aesthetic assessment (VAA) aims to predict how aesthetically pleasing a video is, yet remains far less explored than other visual assessment tasks. Its progress is hindered not only by the scarcity of large-scale benchmarks, but also by the intrinsic subjectivity of aesthet…

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arxivcs.CV2026-07-07

KOAL: Knowledge-Driven Prostate Cancer Grading with Ordinal-Aware Learning

Zheng Guo, Jiaqi Cui, Haocheng Xiong, Jize Han, Bo Liu, Qianwen Zhang, et al.

Non-invasive prediction of Gleason Grade Group (GGG) in prostate cancer using multiparametric MRI (mpMRI) is clinically vital for reducing unnecessary biopsies. Existing GGG prediction methods face two major limitations. First, they often overlook non-image information critical f…

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arxivcs.CV2026-07-05

Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment

Zixiang Zhou, Zhentao Yu, Yifeng Ma, Hongmei Wang, Wenqing Yu, Cong Wang, et al.

Subject-driven and multi-element video generation are central to controllable video synthesis, but existing methods still struggle to preserve identity consistency and model complex relationships among multiple subjects. In this paper, we propose Aura, a unified framework for hig…

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