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

Simo Saarakkala

Oulu University Hospital

ORCID: 0000-0003-2850-5484

Also affiliated with University of Oulu

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 2%percentile
2.3Author DataRank

Indexed papers

1in 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 1 indexed paper 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 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

Papers

Driven by 12 papers — median percentile 91. Top paper: “The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images”.

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

Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis

Osteoarthritis and Cartilage(2020)10.1016/j.joca.2020.03.006
N/A
0DataRank · unranked
40 citations

Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala, N. Bayramoglu

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

PubMed(2020)10.48550/arxiv.2003.01944
N/A
0DataRank · unranked
1 citations

Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin, Huy Hoang Nguyen

Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative

Journal of Orthopaedic Research®(2021)10.1002/jor.25150
N/A
0DataRank · unranked
59 citations

Aleksei Tiulpin, Miika T. Nieminen, Simo Saarakkala, Victor Casula, Egor Panfilov

Automated detection of patellofemoral osteoarthritis from knee lateral view radiographs using deep learning: data from the Multicenter Osteoarthritis Study (MOST).

Osteoarthritis and Cartilage(2021)10.1016/j.joca.2021.06.011
N/A
0DataRank · unranked
38 citations

Miika T. Nieminen, Simo Saarakkala, N. Bayramoglu

Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis

International Journal of Medical Informatics(2021)10.1016/j.ijmedinf.2021.104627
N/A
0DataRank · unranked
0 citations

Miika T. Nieminen, Simo Saarakkala, Neslihan Bayramoğlu

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)10.1109/isbi52829.2022.9761458
N/A
0DataRank · unranked
18 citations

Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin, Egor Panfilov

CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)10.1109/isbi52829.2022.9761545
N/A
0DataRank · unranked
12 citations

Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin, Huy Hoang Nguyen

Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3312524
N/A
0DataRank · unranked
35 citations

Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin, Huy Hoang Nguyen

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers

arXiv (Cornell University)(2023)10.48550/arxiv.2307.00873
N/A
0DataRank · unranked
0 citations

Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin, Egor Panfilov

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.3017007
N/A
0DataRank · unranked
53 citations

Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin, Huy Hoang Nguyen

Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data, and Symptomatic Assessments

Methods of Information in Medicine(2024)10.1055/a-2305-2115
N/A
0DataRank · unranked
10 citations

Martin Englund, I.K. Haugen, Muneaki Ishijima, Simo Saarakkala, Neslihan Bayramoğlu