Ben van Calster

Also affiliated with Leiden University Medical Center, University Medical Center Utrecht, VIB-KU Leuven Center for Microbiology, KU Leuven

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. 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

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

European Heart Journal(2022)10.1093/eurheartj/ehac238

N/A

5.2DataRank · unranked

134 citations

Georg Heinze, Ben van Calster, Folkert W. Asselbergs, Panos Vardas, Nico Bruining +6 more

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

BMJ(2020)10.1136/bmj.m1328

N/A

1.2DataRank · unranked

3264 citations

Ben van Calster, Gary S. Collins, Richard D Riley, Georg Heinze, Ewoud Schuit +52 more

Poor performance of clinical prediction models: the harm of commonly applied methods

Journal of Clinical Epidemiology(2018)10.1016/j.jclinepi.2017.11.013

N/A

0.784DataRank · unranked

185 citations

Hajime Uno, Ben van Calster, Chinedu Ukaegbu, Tara Dhingra, Sapna Syngal +4 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

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

The Lancet Digital Health(2025)10.1016/j.landig.2025.100916

N/A

0.744DataRank · unranked

54 citations

Gary S. Collins, Andrew J. Vickers, Laure Wynants, Kathleen F. Kerr, Lasai Barreñada +9 more

Metrics reloaded: Recommendations for image analysis validation

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

N/A

0.621DataRank · unranked

62 citations

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

Performance evaluation of predictive AI models to support medical\n decisions: Overview and guidance

arXiv (Cornell University)(2024)10.48550/arxiv.2412.10288

N/A

0.406DataRank · unranked

14 citations

Gary S. Collins, Andrew J. Vickers, Laure Wynants, Kathleen F. Kerr, Lasai Barreñada +9 more

Perspectives on validation of clinical predictive algorithms

npj Digital Medicine(2023)10.1038/s41746-023-00832-9

N/A

0DataRank · unranked

78 citations

Vaibhavi Shah, Ilse Kant, Ben van Calster, Ewout W. Steyerberg, Tina Hernandez‐Boussard +1 more

External Validations of Cardiovascular Clinical Prediction Models: A Large-scale Review of the Literature

medRxiv(2021)10.1101/2021.01.19.21250110

N/A

0DataRank · unranked

7 citations

Jason Nelson, Jinny G. Park, Hannah McGinnes, Gaurav Gulati, Riley Brazil +7 more