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Yin He

As seen in: Nature, Wiley Online Library, Frontiers, MDPI, Respiratory Research, Royal Society of Chemistry, Dialnet - Universidad de La Rioja, Texas Medical Center
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Articles

Deformable convolution and multi-scale fusion for high-performance transmission line defect detection

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By Yin He, Bowei Xing, Xinyu Yao, Yong Zhang, hao long, Xuanhang Feng
| Nature Verified
Abstract This article presents a high-performance defect detection algorithm for unmanned aerial vehicle (UAV) transmission line inspection, addressing issues such as missed detections, false alarms, and low accuracy. The algorithm combines the C3K2-DCNv4 module, which adopts a hierarchical integration strategy and which leverages deformable convolution to better capture geometric features from irregular targets.
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Single-Cell and Bulk Transcriptome Analysis Identifies B-cell Subpopulations and Associated Cancer Subtypes With Distinct Clinical and Molecular Characteristics

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By Yin He
| Texas Medical Center
Faculty, Staff and Student Publications Publication Date 10-1-2025 DOI 10.1007/s13402-025-01082-5 PubMedCentral® Posted Date 6-17-2025 PubMedCentral® Full Text Version Post-print Abstract Backgroud: Previous studies have identified B cell subpopulations with pro- and anti-tumoral activities, while the clinical relevance of B cell subpopulations-specific markers in pan-cancer remains understudied.
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Single-cell and bulk transcriptome analysis reveals the impact of inflammatory microglia on prognosis and immunotherapy response in primary glioblastoma

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By Yin He, Xiaosheng Wang, Ziadoon Alyaqoobi
| Dialnet - Universidad de La Rioja
Background: Glioblastoma multiforme (GBM) is an aggressive brain tumor with poor prognosis. Microglia are key immune cells in the GBM tumor microenvironment (TME), yet their subtype-specific impact, particularly inflammatory microglia, remains poorly understood. Methods: We analyzed single-cell RNA sequencing data to characterize inflammatory microglia patterns in GBM. Patient subgroups were compared for clinical features, molecular profiles, and predicted immunotherapy responses.
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