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

Hyun Jung

Korea Institute of Science & Technology Information

ORCID: 0000-0001-7467-8189

MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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 3 papers. Top paper: “Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019”.

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.3039741

N/A

0DataRank · unranked

154 citations

Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao +28 more

Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

Clinical Cancer Research(2022)10.1158/1078-0432.ccr-22-1663

N/A

0DataRank · unranked

28 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more

Data from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

(2023)10.1158/1078-0432.c.6532878.v1

N/A

0DataRank · unranked

0 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more