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Yipeng Yin on Muck Rack

Yipeng Yin

As seen in: Nature, Royal Society of Chemistry, PeerJ
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Articles

An image recognition agorithm for fine-grained high-frequency workpieces based on a multi-branch network architecture - Scientific Reports

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By Jiaqi Deng, Chenglong Sun, Jiajie Lin, Yichen He, Yipeng Yin, Xu Yang, Liangzhong Jiang, Qinlu Pu
| Nature Verified
Abstract To address the low recognition accuracy of high-frequency workpiece images caused by complex intra-class textures and minor inter-class differences in top-surface features, we propose a Multi-Branch EfficientNet (MBEN) algorithm for recognizing fine-grained high-frequency workpieces.
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Machine learning-driven PET-CT and clinical pathology model for predicting mediastinal lymph node metastasis in non-small cell lung cancer: a retrospective cohort study

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By Yipeng Yin, Wenyu Zhang, Zhe Chen, Xiaotian Duan
| PeerJ
The correlation analysis revealed meaningful interrelationships across imaging, metabolic, and clinical domains. Specifically, smoking history showed a negative correlation with FEV1, while metabolic indicators such as SUVmax, MTV, and TLG demonstrated moderate associations with tumor markers including CEA and Cyfra21-1, reflecting potential biological links between tumor metabolism and systemic inflammation.
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PEGylated Dmoc Phosphoramidites for Sensitive Oligodeoxynucleotide Synthesis

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By Komal Chillar, Yipeng Yin, Shiyue Fang
| Royal Society of Chemistry Verified
PEGylated Dmoc Phosphoramidites for Sensitive Oligodeoxynucleotide Synthesis Sensitive oligodeoxynucleotides (ODNs) can be synthesized using Dmoc phosphoramidites, but only short ODNs were demonstrated. Here, we report the synthesis of much longer ODNs, which was made possible by the use of PEGylated Dmoc (pDmoc) phosphoramidites. The longer ODNs synthesized include those containing the sensitive 4acC epignetic modification recently discovered in nature.
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