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

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Aleksei Tiulpin

Aleksei Tiulpin

Cornell University

ORCID: 0000-0002-7852-4141

Also affiliated with Weill Cornell Medicine, 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 12 papers — median percentile 91. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z

N/A

9.2DataRank · unranked

411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 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

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0

N/A

0.783DataRank · unranked

184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 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

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653

N/A

0DataRank · unranked

62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

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

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

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

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