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

Linmin Pei

Frederick National Laboratory for Cancer Research

ORCID: 0000-0001-6135-9429
NeuroscienceMedicineComputer Science

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 5%percentile
0.548Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons

Scientific Data(2024)10.1038/s41597-024-03977-8
Top 48%
0.379DataRank
Top 48%8 citations

McCrumb, Diana, Mariam Aboian, Leon Jekel, Soni, Rahul, Fatima Memon +8 more

Papers

Driven by 8 papers — median percentile 33. Top paper: “QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results”.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b
N/A
0.601DataRank · unranked
54 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons

Scientific Data(2024)10.1038/s41597-024-03977-8
Top 48%
0.379DataRank
Top 48%8 citations

McCrumb, Diana, Mariam Aboian, Leon Jekel, Soni, Rahul, Fatima Memon +8 more

AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons

Scientific Data(2025)10.1038/s41597-025-05666-6
Top 67%
0.169DataRank
Top 67%2 citations

McCrumb, Diana, Soni, Rahul, Jithendra Kumar, Leonard Nürnberg, Linmin Pei +6 more

Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images

Scientific Reports(2020)10.1038/s41598-020-74419-9
N/A
0DataRank · unranked
147 citations

Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Linmin Pei

AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons

arXiv (Cornell University)(2024)10.48550/arxiv.2409.20342
Top 100%
0DataRank
Top 100%0 citations

McCrumb, Diana, Soni, Rahul, Jithendra Kumar, Leonard Nuernberg, Linmin Pei +6 more

A general skull stripping of multiparametric brain MRIs using 3D convolutional neural network

Scientific Reports(2022)10.1038/s41598-022-14983-4
N/A
0DataRank · unranked
36 citations

Murat AK, Nourel Hoda Tahon, Şerafettin Zenkin, Safa Alkarawi, Abdallah Kamal +6 more

Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading

Frontiers in Oncology(2021)10.3389/fonc.2021.668694
N/A
0DataRank · unranked
60 citations

Karra A. Jones, Zeina A. Shboul, James Y. Chen, Khan M. Iftekharuddin, Linmin Pei

A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs

Scientific Reports(2022)10.1038/s41598-022-09985-1
N/A
0DataRank · unranked
46 citations

Jing-Ming Guo, Linmin Pei, Ling-An Chiang, Yao‐Feng Li, Jui-Chien Hsiao +3 more