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Huchao Mao

Optimizing Deep Learning for Renal Mass Characterization in Challenging Cases: A Comparative Study of Spatial-Input Strategies and a Validated ROI-Only DLR Nomogram
2026 · Yue Xiao, Huchao Mao, et al. · Annals of Surgical Oncology · 1
A DNA Nanoplatform with Rolling Circle-DNAzyme Feedback Programming for Autonomous Exponential Amplification Enables Multiplexed Orthogonal miRNA Profiling toward Precise Diagnosis of Bladder Cancer
2026 · Mei Yang, Han Chen, et al. · Analytical Chemistry
ASO Visual Abstract: Optimizing Deep Learning for Renal Mass Characterization in Challenging Cases: A Comparative Study of Spatial-Input Strategies and a Validated ROI-Only DLR Nomogram
2026 · Yue Xiao, Huchao Mao, et al. · Annals of Surgical Oncology
Multidistance Peritumoral Radiomics With Intratumoral Radiomics Integration Nomogram for Differentiating Fat-Poor Angiomyolipoma From Clear Cell Renal Cell Carcinoma in Discordant and Indeterminate Cases
2026 · Yue Xiao, Xupeng Ye, et al. · Clinical Genitourinary Cancer
ASO Author Reflections: From Four Spatial-Input Strategies to a Full Exhaustive Paradigm—Refining Deep Learning Radiomics for Challenging Renal Masses
2026 · Yue Xiao, Huchao Mao, et al. · Annals of Surgical Oncology
Multi‐Omics and Machine Learning‐Uncovered FLT1 ‐Mediated Epithelial‐Endothelial Crosstalk in Cellular Senescence Driving Clear Cell Renal Cell Carcinoma Malignancy
2026 · Mouyuan Sun, Huchao Mao, et al. · The FASEB Journal
A nomogram model for challenging cases: differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma in uncertain or misdiagnosed tumors
2026 · Yue Xiao, Mei Yang, et al. · Abdominal Radiology
Works count: 7
Citation count: 1
H-index: 1
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