Bioinformatics challenges for genome-wide association studies. - Jason H. Moore; Folkert W. Asselbergs; Scott M. Williams (Bioinform., 2010)

Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS. - Nora Kim; Peter C. Andrews; Folkert W. Asselbergs; H. Robert Frost; Scott M. Williams; Brent T. Harris; Cynthia Read; Kathleen D. Askland; Jason H. Moore (BioData Min., 2012)

Session Introduction. - Molly A. Hall; Shefali S. Verma; Dennis P. Wall; Jason H. Moore; Brendan Keating; Daniel B. Campbell; Gregory Gibson; Folkert W. Asselbergs; Sarah A. Pendergrass (Pacific Symposium on Biocomputing, 2015)

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). - Rishika De; Shefali S. Verma; Fotios Drenos; Emily Rose Holzinger; Michael Holmes; Molly A. Hall; David R. Crosslin; David Carrell; Hakon Hakonarson; Gail P. Jarvik; Eric B. Larson; Jennifer A. Pacheco; et al. (BioData Min., 2015)

An Independent Filter for Gene Set Testing Based on Spectral Enrichment. - H. Robert Frost; Zhigang Li; Folkert W. Asselbergs; Jason H. Moore (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining. - Spiros C. Denaxas; Folkert W. Asselbergs; Jason H. Moore (BioData Min., 2016)

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. - Emily Rose Holzinger; Shefali S. Verma; Carrie Colleen Buchanan Moore; Molly A. Hall; Rishika De; Diane Gilbert-Diamond; Matthew B. Lanktree; Nathan Pankratz; Antoinette Amuzu; Amber Burt; Caroline Dale; Scott M. Dudek; et al. (BioData Min., 2017)

Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype. - Vinicius Tragante; Johannes M. I. H. Gho; Janine F. Felix; Ramachandran S. Vasan; Nicholas L. Smith; Benjamin F. Voight; Colin Palmer; Pim van der Harst; Jason H. Moore; Folkert W. Asselbergs (BioData Min., 2017)

The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis. - T. Katrien J. Groenhof; Folkert W. Asselbergs; Rolf H. H. Groenwold; Diederick E. Grobbee; Frank L. J. Visseren; Michiel L. Bots (BMC Medical Informatics Decis. Mak., 2019)

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. - Ayoub Bagheri; T. Katrien J. Groenhof; Wouter B. Veldhuis; Pim A. de Jong; Folkert W. Asselbergs; Daniel L. Oberski (BCB, 2020)

Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (BIOINFORMATICS, 2020)

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. - Alena Orlenko; Daniel Kofink; Leo-Pekka Lyytikäinen; Kjell Nikus; Pashupati P. Mishra; Pekka Kuukasjärvi; Pekka J. Karhunen; Mika Kähönen; Jari O. Laurikka; Terho Lehtimäki; Folkert W. Asselbergs; Jason H. Moore (Bioinform., 2020)

ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (J. Intell. Inf. Syst., 2020)

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. - Hegler Correa Tissot; Anoop D. Shah; David Brealey; Steve K. Harris; Ruth Agbakoba; Amos Folarin; Luis Romao; Lukasz Roguski; Richard J. B. Dobson; Folkert W. Asselbergs (IEEE J. Biomed. Health Informatics, 2020)

An informatics consult approach for generating clinical evidence for treatment decisions. - Alvina Grace Lai; Wai Hoong Chang; Constantinos A. Parisinos; Michail Katsoulis; Ruth M. Blackburn; Anoop D. Shah; Vincent Nguyen; Spiros C. Denaxas; George Davey Smith; Tom R. Gaunt; Krishnarajah Nirantharakumar; Murray P. Cox; et al. (BMC Medical Informatics Decis. Mak., 2021)

Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. - Arjan Sammani; Ayoub Bagheri; Peter G. M. van der Heijden; Anneline S. J. M. te Riele; Annette F. Baas; C. A. J. Oosters; Daniel L. Oberski; Folkert W. Asselbergs (npj Digit. Medicine, 2021)

Modeling Structural Abnormalities in Equivalent Dipole Layer Based ECG Simulations. - Manon Kloosterman; Machteld J. Boonstra; Folkert W. Asselbergs; Peter Loh; Thom F. Oostendorp; Peter M. van Dam (CinC, 2022)

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. - Václav Papez; Maxim Moinat; Erica A. Voss; Sofia Bazakou; Anne Van Winzum; Alessia Peviani; Stefan Payralbe; Elena Garcia Lara; Michael Kallfelz; Folkert W. Asselbergs; Daniel Prieto-Alhambra; Richard J. B. Dobson; et al. (J. Am. Medical Informatics Assoc., 2022)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes. - Abdulrahman Alasiri; Konrad J. Karczewski; Brian S. Cole; Bao-Li Loza; Jason H. Moore; Sander W. Van der Laan; Folkert W. Asselbergs; Brendan J. Keating; Jessica van Setten (BioData Min., 2023)

Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems. - Matthew G. Wilson; Edward Palmer; Folkert W. Asselbergs; Steve K. Harris (J. Biomed. Informatics, 2023)

Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America. - Xènia Puig-Bosch; Machteld J. Boonstra; Miriam Cabrita; Joan Perramon; Sara Munive; Andrea Guala 002; Vladimír Kincl; Saskia Haitjema; Carina Dantas; Folkert W. Asselbergs; Karim Lekadir (SIPAIM, 2024)

Recent methodological advances in federated learning for healthcare. - Fan Zhang; Daniel Kreuter; Yichen Chen; Sören Dittmer; Samuel Tull; Tolou Shadbahr; Martijn Schut; Folkert W. Asselbergs; Sujoy Kar; Suthesh Sivapalaratnam; Sophie Williams; Mickey Koh; et al. (Patterns, 2024)

Determinants of artificial intelligence electrocardiogram-derived age and its association with cardiovascular events and mortality: a systematic review and meta-analysis. - Shervin Mossavarali; Ali Vaezi; Zahra Gholami; Alireza Molaei; Mir Saeed Yekaninejad; Folkert W. Asselbergs; Akbar Shafiee (npj Digit. Medicine, 2025)

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study. - Shishir Rao; Nouman Ahmed; Gholamreza Salimi-Khorshidi; Christopher Yau; Huimin Su; Nathalie Conrad; Folkert W. Asselbergs; Mark Woodward; Rod Jackson; John G. F. Cleland; Kazem Rahimi (CoRR, 2025)

Interpretable phenotyping of Heart Failure patients with Dutch discharge letters. - Vittorio Torri; Machteld J. Boonstra; Marielle C. van de Veerdonk; Deborah N. Kalkman; Alicia Uijl; Francesca Ieva; Ameen Abu-Hanna; Folkert W. Asselbergs; Iacer Calixto (CoRR, 2025)