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

Gene Kitamura

Loma Linda University

ORCID: 0000-0003-2647-6202
Medicine

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 6 papers. Top paper: “Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images”.

Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images

Clinical Imaging(2020)10.1016/j.clinimag.2020.01.008
N/A
0DataRank · unranked
42 citations

Christopher Deible, Gene Kitamura

Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection

European Journal of Radiology(2020)10.1016/j.ejrad.2020.109139
N/A
0DataRank · unranked
41 citations

Gene Kitamura

Hanging protocol optimization of lumbar spine radiographs with machine learning

Skeletal Radiology(2021)10.1007/s00256-021-03733-8
N/A
0DataRank · unranked
15 citations

Gene Kitamura

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

Lecture notes in computer science(2021)10.1007/978-3-030-87589-3_57
N/A
0DataRank · unranked
11 citations

Gene Kitamura, Dooman Arefan, Emine Doğanay, Ashok Panigrahy, Shandong Wu +1 more

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning

PubMed(2023)10.1109/isbi53787.2023.10230597
N/A
0DataRank · unranked
3 citations

Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu, Zhengbo Zhou

Human not in the loop: objective sample difficulty measures for Curriculum Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2302.01243
N/A
0DataRank · unranked
0 citations

Jun Luo, Arefan, Dooman, Gene Kitamura, Shandong Wu, Zhengbo Zhou