Ben Van Calster - Publications, H-index & Citations

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Ben Van Calster

ku leuven

85H-index

583Paper Count

3.5WCitation Count

Published Papers 197

Publication Date

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection

BMC Medical Research Methodology

IF3.4

2026-04-21

OAAI

Shan Gao; Elena Albu; Pieter Stijnen; Frank Rademakers; Veerle Cossey; Yves Debaveye; Christel Janssens; Ben Van Calster; Laure Wynants

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Terms, definitions and measurements to describe the sonographic features of adnexal tumors: updated consensus opinion from the International Ovarian Tumor Analysis (IOTA) Group

ULTRASOUND IN OBSTETRICS & GYNECOLOGY

IF6.3

2026-04-08

OAAI

D. Timmerman; L. Valentin; A. C. Testa; W. Froyman; C. Landolfo; A. Kotlarz; D. Fischerova; B. Van Calster; T. Bourne; Collaborators

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Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT XV

IF0

2026-01-01

PREAI

Geysels, Axel; Calster, Ben Van; De Moor, Bart; Froyman, Wouter; Timmerman, Dirk

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Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals

Journal of Clinical Epidemiology

IF5.2

2025-12-19

OAAI

Amardeep Legha; Joie Ensor; Rebecca Whittle; Lucinda Archer; Ben Van Calster; Evangelia Christodoulou; Kym I.E. Snell; Mohsen Sadatsafavi; Gary S. Collins; Richard D. Riley

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

The Lancet Digital Health

IF0

2025-12-13

OAAI

Ben Van Calster; Gary S Collins; Andrew J Vickers; Laure Wynants; Kathleen F Kerr; Lasai Barreñada; Gael Varoquaux; Karandeep Singh; Karel GM Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J McLernon; Maarten van Smeden; Ewout W Steyerberg

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ADNEX-AI: automated extraction of ultrasound predictors for interpretable ovarian cancer risk stratification

npj Precision Oncology

IF8

2025-12-11

OAAI

Axel Geysels; Giulia Garofalo; Stefan Timmerman; Jolien Ceusters; Francesca Buonomo; Daniela Fischerová; Antonia Carla Testa; Francesca Moro; Povilas Sladkevicius; Ligita Jokubkiene; Caroline Van Holsbeke; Marek Kudla; Artur Czekierdowski; Elisabeth Epstein; Yvette Groszmann; Matthew Blaschko; Tom Bourne; Bart De Moor; Lil Valentin; Ben Van Calster; Dirk Timmerman; Wouter Froyman

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Clustered flexible calibration plots for binary outcomes using random effects modeling

Research Synthesis Methods

IF6.1

2025-12-01

OAAI

Barrenada, Lasai; De Cock Campo, Bavo; Wynants, Laure; Van Calster, Ben

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missForestPredict-Missing data imputation for prediction settings

PLOS ONE

IF2.6

2025-11-07

PREAI

Albu, Elena; Gao, Shan; Wynants, Laure; Van Calster, Ben

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Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

iScience

IF4.1

2025-10-06

OAAI

An Coosemans; Jolien Ceusters; Chiara Landolfo; Thaïs Baert; Kainat Jamil; Wouter Froyman; Ruben Heremans; Gitte Thirion; Sandra Claes; Julie Oosterlynck; Roxanne Wouters; Ann Vankerckhoven; Francesca Moro; Floriana Mascilini; Adam Neumann; Anne-Sophie Van Rompuy; Dominique Schols; Jaak Billen; Toon Van Gorp; Ignace Vergote; Tom Bourne; Caroline Van Holsbeke; Valentina Chiappa; Giovanni Scambia; Antonia Testa; Daniela Fischerova; Dirk Timmerman; Ben Van Calster

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Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies

BMJ OPEN

IF2.3

2025-10-01

PREAI

Barrenada, Lasai; Ledger, Ashleigh; Kotlarz, Agnieszka; Dhiman, Paula; Collins, Gary Stephen; Wynants, Laure; Verbakel, Jan Yvan Jos; Valentin, Lil; Timmerman, Dirk; Van Calster, Ben

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Added value of cell-free DNA over clinical and ultrasound information for diagnosing ovarian cancer

Ultrasound in Obstetrics & Gynecology

IF6.3

2025-08-19

PREAI

A. Vanderstichele; J. Ceusters; D. Fischerova; A. Testa; W. Froyman; C. Landolfo; F. Moro; T. Baert; P. Busschaert; T. Venken; D. Lambrechts; J. R. Vermeesch; A. Coosemans; B. Van Calster; D. Timmerman; Collaborators

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Burnout, wellbeing and defensive medical practice in obstetricians and gynecologists in the UK before and after the COVID pandemic: A repeated cross-sectional survey study

Acta Obstetricia et Gynecologica Scandinavica

IF3.1

2025-07-29

OAAI

Nina Parker; Nora Falconieri; Harsha Shah; Christoph Lees; Dirk Timmerman; Ben Van Calster; Tom Bourne

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External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: a nationwide prospective multicenter study (IOTA phase 6)

American Journal of Obstetrics and Gynecology

IF8.4

2025-07-11

OAAI

Francesca Moro; Marina Momi; Ashleigh Ledger; Lasai Barreñada; Jolien Ceusters; Davide Sturla; Elisa Mor; Letizia Fornari; Floriana Mascilini; Francesca Ciccarone; Federica Pozzati; Wouter Froyman; Ben Van Calster; Tom Bourne; Dirk Timmerman; Anna Fagotti; Lil Valentin; Antonia Carla Testa

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Importance of sample size on the quality and utility of AI-based prediction models for healthcare

lancet digital health

IF0

2025-06-01

OAAI

Richard D Riley; Joie Ensor; Kym I E Snell; Lucinda Archer; Rebecca Whittle; Paula Dhiman; Joseph Alderman; Xiaoxuan Liu; Laura Kirton; Jay Manson-Whitton; Maarten van Smeden; Karel G Moons; Krishnarajah Nirantharakumar; Jean-Baptiste Cazier; Alastair K Denniston; Ben Van Calster; Gary S Collins

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Virtual reality simulation in reducing discomfort and pain during intrauterine device insertion: a randomized controlled trial

Contraception

IF2.3

2025-05-08

PREAI

Sander Dumont; Ann-Sophie Page; Kobe Dewilde; Jolien Ceusters; Ben Van Calster; Wouter Froyman; Dirk Timmerman

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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models

BMC INFECTIOUS DISEASES

IF3

2025-04-24

OAAI

Albu, Elena; Gao, Shan; Stijnen, Pieter; Rademakers, Frank E.; Janssens, Christel; Cossey, Veerle; Debaveye, Yves; Wynants, Laure; Van Calster, Ben

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Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo

BMC INFECTIOUS DISEASES

IF3

2025-01-27

OAAI

Tack, Bieke; Vita, Daniel; Mbuyamba, Jules; Ntangu, Emmanuel; Vuvu, Hornela; Kahindo, Immaculee; Ngina, Japhet; Luyindula, Aimee; Nama, Naomie; Mputu, Tito; Im, Justin; Jeon, Hyonjin; Marks, Florian; Toelen, Jaan; Lunguya, Octavie; Jacobs, Jan; Van Calster, Ben

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Impact of Medical Device Regulation on use of ultrasound-based prediction models in clinical practice

ULTRASOUND IN OBSTETRICS & GYNECOLOGY

IF6.3

2024-11-19

PREAI

Kotlarz, A.; Froyman, W.; Valentin, L.; Testa, A.; Van Hove, M.; Van Calster, B.; Bourne, T.; Timmerman, D.

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How to develop, validate, and update clinical prediction models using multinomial logistic regression

JOURNAL OF CLINICAL EPIDEMIOLOGY

IF5.2

2024-10-01

PREAI

Gehringer, Celina K.; Martin, Glen P.; Van Calster, Ben; Hyrich, Kimme L.; Verstappen, Suzanne M. M.; Sergeant, Jamie C.

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Validation of ADNEX and IOTA two-step strategy and estimation of risk of complications during follow-up of adnexal masses in low-risk population

ULTRASOUND IN OBSTETRICS & GYNECOLOGY

IF6.3

2024-08-16

OAAI

Pascual, M. A.; Vancraeynest, L.; Timmerman, S.; Ceusters, J.; Ledger, A.; Graupera, B.; Rodriguez, I.; Valero, B.; Landolfo, C.; Testa, A. C.; Bourne, T.; Timmerman, D.; Valentin, L.; Van Calster, B.; Froyman, W.

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Research Directions