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

John Freymann

Leidos (United States)

ORCID: 0000-0002-7211-0095

Also affiliated with National Institutes of Health, Frederick National Laboratory for Cancer Research, National Cancer Institute

MedicineComputer 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 3%percentile
1.2Author 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.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14445
Top 27%
0.753DataRank
Top 27%21 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

Papers

Driven by 10 papers — median percentile 56. Top paper: “DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules”.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14445
Top 27%
0.753DataRank
Top 27%21 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical Physics(2020)10.1002/mp.14806
Top 100%
0DataRank
Top 100%0 citations

Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby +6 more

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

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074
N/A
0DataRank · unranked
7 citations

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

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
0DataRank · unranked
53 citations

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

Deep learning-based segmentation of multisite disease in ovarian cancer

European Radiology Experimental(2023)10.1186/s41747-023-00388-z
N/A
0DataRank · unranked
22 citations

Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar +22 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011
N/A
0DataRank · unranked
12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer

medRxiv(2023)10.1101/2023.01.10.22279679
N/A
0DataRank · unranked
7 citations

Leonardo Rundo, Ramona Woitek, L. Escudero, Lucian Beer, Mireia Crispin-Ortuzar +22 more

Resource requirements to accelerate clinical applications of next-generation sequencing and radiomics: workshop commentary and review

JNCI Journal of the National Cancer Institute(2024)10.1093/jnci/djae136
N/A
0DataRank · unranked
1 citations

Lalitha Shankar, Claire Hildebrandt, Wendy S. Rubinstein, Kristofor K. Langlais, Henry Rodriguez +9 more

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

European Radiology(2020)10.1007/s00330-020-06755-3
N/A
0DataRank · unranked
44 citations

Hilal Şahin, Nicholas W. Bateman, Ivana Blažić, Hebert Alberto Vargas, Harini Veeraraghavan +13 more