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

Mohamed Elbanan

University of Missouri

ORCID: 0000-0002-9517-5764
MedicineBiochemistry, 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: “Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma”.

Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma

Clinical Imaging(2021)10.1016/j.clinimag.2021.01.043
N/A
0DataRank · unranked
6 citations

Julius Chapiro, Alexandra Petukhova, Moritz Gross, Ahmet S. Kücükkaya, Rajiv Raju +9 more

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific Reports(2023)10.1038/s41598-023-34439-7
N/A
0DataRank · unranked
23 citations

Tal Zeevi, Nathan Chai, Rajiv Raju, Stefan P. Haider, Mohamed Elbanan +13 more

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports

Radiology(2025)10.1148/radiol.242167
N/A
0DataRank · unranked
0 citations

Xiaobing Yu, Sung Min Ha, Abdalla Bani, Aaron Mintz, Jieqi Wang +11 more