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Danni Luo

Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2020 · Shidan Wang, Ruichen Rong, et al. · Cancer Research · 148
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Deep Learning–Based H-Score Quantification of Immunohistochemistry-Stained Images
2023 · Zhuoyu Wen, Danni Luo, et al. · Modern Pathology · 112
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Mice With Increased Numbers of Polyploid Hepatocytes Maintain Regenerative Capacity But Develop Fewer Hepatocellular Carcinomas Following Chronic Liver Injury
2020 · Yu-Hsuan Lin, Shuyuan Zhang, et al. · Gastroenterology · 91
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
2023 · Ruichen Rong, Hudanyun Sheng, et al. · Modern Pathology · 77
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Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder
2022 · Stefano Berto, Alex H. Treacher, et al. · Nature Communications · 46
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Systematic Analysis of Gene Expression in Lung Adenocarcinoma and Squamous Cell Carcinoma with a Case Study of FAM83A and FAM83B
2019 · Ling Cai, Danni Luo, et al. · Cancers · 18
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Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research
2023 · Donghan M. Yang, Qinbo Zhou, et al. · JCO Clinical Cancer Informatics · 4
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Spatial Transcriptomics Arena (STAr): an Integrated Platform for Spatial Transcriptomics Methodology Research
2023 · Xi Jiang, Danni Luo, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 3
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Computational Staining of Pathology Images to Study Tumor Microenvironment in Lung Cancer
2019 · Shidan Wang, Ruichen Rong, et al. · SSRN Electronic Journal · 3
I-Viewer: An Online Digital Pathology Analysis Platform with Agentic-RAG AI Copilot
2024 · Ruichen Rong, Danni Luo, et al. · Research Square · 2
A Deep Learning Approach for Histology-Based Nuclei Segmentation and Tumor Microenvironment Characterization
2022 · Ruichen Rong, Hudanyun Sheng, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2
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Data from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Table S3 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
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Figure S1 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S9 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S3 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S6 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
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Figure S2 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
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Figure S7 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S5 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
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Figure S8 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S4 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Table S2 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Table S1 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Figure S2 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
2023 · Shidan Wang, Ruichen Rong, et al.
Works count: 37
Citation count: 506
H-index: 6
I10-index: 6
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