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

Miika T. Nieminen

Oulu University Hospital

ORCID: 0000-0002-2300-2848

Also affiliated with Kajaani University of Applied Sciences, Northern Ostrobothnia Hospital District, Oulu University of Applied Sciences, University of Oulu

MedicineEngineering

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 8 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

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

Deep‐Learning‐Based Contrast Synthesis From MRF Parameter Maps in the Knee Joint

Journal of Magnetic Resonance Imaging(2022)10.1002/jmri.28573
N/A
0DataRank · unranked
9 citations

Mika Nevalainen, Victor Casula, Antti Isosalo, Satu I. Inkinen, Marko Nikki +5 more

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

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

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