🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Huijing Du

Huijing Du

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications”.

Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications

Cancers(2022)10.3390/cancers14071654

N/A

0DataRank · unranked

71 citations

Nate Thach, Xiaoying Liang, Michael J. Baine, Justin A. Chen, Chi Zhang +6 more

3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer

Cancers(2023)10.3390/cancers15235496

N/A

0DataRank · unranked

17 citations

Hannah Tang, Michael J. Baine, Michael A. Hollingsworth, Huijing Du, Dandan Zheng +3 more

3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer

PubMed(2023)10.48550/arxiv.2311.05697

N/A

0DataRank · unranked

2 citations

Hannah Tang, Michael J. Baine, Michael A. Hollingsworth, Huijing Du, Dandan Zheng +3 more

radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer

Scientific Reports(2024)10.1038/s41598-024-62741-5

N/A

0DataRank · unranked

5 citations

Paul M. Grandgenett, Qi Zhang, Michael J. Baine, Yu Shi, Qian Du +10 more