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

Curtis Lisle

Knowledge Foundation

ORCID: 0000-0003-4056-3038

Also affiliated with The Design Knowledge Company (United States)

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

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

Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

Journal of Pathology Informatics(2022)10.1016/j.jpi.2022.100007
N/A
0DataRank · unranked
17 citations

Chengcheng Jin, Abigail Wong-Rolle, Eric Chen, Curtis Lisle, Gavin Brown +6 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