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

Erik B. Dam

University of Copenhagen

ORCID: 0000-0002-8888-2524

Also affiliated with IT University of Copenhagen

MedicineEngineeringComputer 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 1%percentile
14.9Author DataRank

Indexed papers

6in 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 6 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.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 10 papers — median percentile 91. Top paper: “The Liver Tumor Segmentation Benchmark (LiTS)”.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.10.001
Top 9%
2.3DataRank
Top 9%60 citations

J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more

Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Arthritis Care & Research(2021)10.1002/acr.24557
Top 14%
1.5DataRank
Top 14%56 citations

Leticia A. Deveza, Jamie E. Collins, Elena Losina, Jeffrey N. Katz, Michael C. Nevitt +10 more

On Subregional Analysis of Cartilage Loss from Knee MRI

CARTILAGE(2013)10.1177/1947603512474265
N/A
0.385DataRank · unranked
12 citations

Martin Lillholm, Harry K. Genant, Erik B. Dam, Dan R. Jørgensen

Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100087
Top 48%
0.370DataRank
Top 48%7 citations

Arjun Desai, Cem M. Deniz, Haresh Rengaraj Rajamohan, Ravinder R. Regatte, Claudia Iriondo +17 more

Conventional MRI-derived subchondral trabecular biomarkers and their association with knee cartilage volume loss as early as 1 year: a longitudinal analysis from Osteoarthritis Initiative

Skeletal Radiology(2022)10.1007/s00256-022-04042-4
N/A
0.292DataRank · unranked
6 citations

Amir Ashraf‐Ganjouei, Mahsa Dolatshahi, Ali Guermazi, Bashir Zikria, Xu Cao +5 more

Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets

Journal of Magnetic Resonance Imaging(2021)10.1002/jmri.27978
N/A
0DataRank · unranked
13 citations

Akshay Pai, J. Runhaar, Christian Igel, Erik B. Dam, Mathias Perslev

Magnetic Resonance Imaging Biomarkers of Knee Osteoarthritis Progression

ACR Open Rheumatology(2025)10.1002/acr2.70085
N/A
0DataRank · unranked
6 citations

Peter Mesenbrink, Rui Jin, Erik B. Dam, Leticia A. Deveza, F. Eckstein +10 more

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning

Proceedings of the National Academy of Sciences(2020)10.1073/pnas.1917405117
N/A
0DataRank · unranked
63 citations

Beth G. Ashinsky, Mustapha Bouhrara, Erik B. Dam, Shadpour Demehri, Mohammad Shifat‐E‐Rabbi +4 more