Liesbet M. Peeters

According to our database, Liesbet M. Peeters authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Measuring approximate functional dependencies: a comparative study.

Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren

VLDB J., July, 2025

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation.

Hamza Khan, Lore Menten, Liesbet M. Peeters

CoRR, June, 2025

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data.

Ashkan Pirmani, Edward De Brouwer, Adam Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, Dana Horáková, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos, Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott, Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch, Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John, Davide Maimone, Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor, Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode, Marzena Fabis-Pedrini, Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau

npj Digit. Medicine, 2025

Explainable time-to-progression predictions in multiple sclerosis.

Robbe D'hondt, Klest Dedja, Sofie Aerts, Bart Van Wijmeersch, Tomas Kalincik, Stephen Reddel, Eva Kubala Havrdova, Alessandra Lugaresi, Bianca Weinstock-Guttman, Saloua Mrabet, Patrice Lalive, Allan G. Kermode, Serkan Ozakbas, Francesco Patti, Alexandre Prat, Valentina Tomassini, Izanne Roos, Raed Alroughani, Oliver Gerlach, Samia J. Khoury, Vincent Van Pesch, Maria Jose Sa, Julie Prevost, Daniele Spitaleri, Pamela McCombe, Claudio Solaro, Anneke van der Walt, Helmut Butzkueven, Guy Laureys, Jose Luis Sanchez-Menoyo, Koen de Gans, Abdullah Al-Asmi, Norma Deri, Tunde Csepany, Talal Al-Harbi, William M. Carroll, Csilla Rozsa, Bhim Singhal, Todd A. Hardy, Sudarshini Ramanathan, Liesbet M. Peeters, Celine Vens

Comput. Methods Programs Biomed., 2025

LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models.

Marcel Parciak, Brecht Vandevoort, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare.

Axel Faes, Ashkan Pirmani, Yves Moreau, Liesbet M. Peeters

CoRR, 2024

Schema Matching with Large Language Models: an Experimental Study.

Marcel Parciak, Brecht Vandevoort, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Unlocking the Power of Real-World Data: A Framework for Sustainable Healthcare.

Ashkan Pirmani, Yves Moreau, Liesbet M. Peeters

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Strategic Oversight Across Real-World Health Data Initiatives in a Complex Health Data Space: A Call for Collective Responsibility.

Lotte Geys, Liesbet M. Peeters

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2022

Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180].

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

Comput. Methods Programs Biomed., 2022

2021

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression.

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

Comput. Methods Programs Biomed., 2021

2020

Deciphering the Morphology of Motor Evoked Potentials.

Jan Yperman, Thijs Becker, Dirk Valkenborg, Niels Hellings, Melissa Cambron, Dominique Dive, Guy Laureys, Veronica Popescu, Bart Van Wijmeersch, Liesbet M. Peeters

Frontiers Neuroinformatics, 2020

Longitudinal modeling of MS patient trajectories improves predictions of disability progression.

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

CoRR, 2020