Towards a semantic PACS: Using Semantic Web technology to represent imaging data. - Johan van Soest; Tim Lustberg; Detlef Grittner; M. Scott Marshall; Lucas Persoon; Bas Nijsten; Peter Feltens; Andre Dekker (MIE, 2014)

Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. - Andrea Damiani; Mauro Vallati; Roberto Gatta; Nicola Dinapoli; Arthur Jochems; Timo Deist; Johan van Soest; Andre Dekker; Vincenzo Valentini (AIME, 2015)

Information extraction of eligibility criteria for trial enrolment support. - M. Scott Marshall; Johan van Soest; R. Dresens; J. Paulissen; Philippe Lambin; Andre Dekker (MIE, 2015)

XNAT imaging platform for BioMedBridges and CTMM TraIT. - Stefan Klein 001; Erwin Vast; Johan van Soest; Andre Dekker; Marcel Koek; Wiro J. Niessen (J. Clin. Bioinform., 2015)

Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. - Martine de Vos; Berend Weel; Adriënne M. Mendrik; Andre Dekker; Johan van Soest (eScience, 2018)

Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. - Tim Lustberg; Johan van Soest; Peter Fick; Rianne Fijten; Tim Hendriks; Sander Puts; Andre Dekker (MIE, 2018)

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. - Johan van Soest; Chang Sun 001; Ole Mussmann; Marco Puts; Bob van den Berg; Alexander Malic; Claudia van Oppen; David Townend; Andre Dekker; Michel Dumontier (MIE, 2018)

Analyzing Partitioned FAIR Health Data Responsibly. - Chang Sun 001; Lianne Ippel; Birgit Wouters; Johan van Soest; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Marco Puts; Ole Mussmann; Annemarie Koster; Carla van der Kallen; David Townend; et al. (CoRR, 2018)

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. - Chang Sun 001; Lianne Ippel; Johan van Soest; Birgit Wouters; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Ole Mussmann; Annemarie Koster; Carla van der Kallen; Claudia van Oppen; David Townend; et al. (MedInfo, 2019)

A Modular Approach to Knowledge Graphs and FAIR Data in Healthcare. - Matthijs Sloep; Petros Kalendralis; Johan van Soest; Rianne Fijten (SWAT4HCLS, 2019)

Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR. - Johan van Soest; Ananya Choudhury; Nikhil Gaikwad; Matthijs Sloep; Michel Dumontier; Andre Dekker (SWAT4HCLS, 2019)

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. - Chang Sun 001; Vincent Emonet; Johan van Soest; Annemarie Koster; Andre Dekker; Michel Dumontier (SWAT4HCLS, 2019)

Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. - Alberto Traverso; Martin Vallières; Johan van Soest; Leonard Wee; Olivier Morin; Andre Dekker (SWAT4HCLS, 2019)

Towards a modular decision support system for radiomics: A case study on rectal cancer. - Roberto Gatta; Mauro Vallati; Nicola Dinapoli; Carlotta Masciocchi; Jacopo Lenkowicz; Davide Cusumano; Calogero Casà; Alessandra Farchione; Andrea Damiani; Johan van Soest; Andre Dekker; Vincenzo Valentini (Artif. Intell. Medicine, 2019)

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. - Bas Schipaanboord; Djamal Boukerroui; Devis Peressutti; Johan van Soest; Tim Lustberg; Timor Kadir; Andre Dekker; Wouter van Elmpt; Mark J. Gooding (IEEE Trans. Medical Imaging, 2019)

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. - Bas Schipaanboord; Djamal Boukerroui; Devis Peressutti; Johan van Soest; Tim Lustberg; Andre Dekker; Wouter van Elmpt; Mark J. Gooding (IEEE Trans. Medical Imaging, 2019)

VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. - Arturo Moncada-Torres; Frank Martin; Melle Sieswerda; Johan van Soest; Gijs Geleijnse (AMIA, 2020)

Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare. - Ananya Choudhury; Johan van Soest; Stuti Nayak; Andre Dekker (MIND (1), 2020)

Distributed Analytics on Sensitive Medical Data: The Personal Health Train. - Oya Beyan; Ananya Choudhury; Johan van Soest; Oliver Kohlbacher; Lukas Zimmermann; Holger Stenzhorn; Md. Rezaul Karim 001; Michel Dumontier; Stefan Decker; Luiz Olavo Bonino da Silva Santos; Andre Dekker (Data Intell., 2020)

A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. - Matthijs Sloep; Petros Kalendralis; Ananya Choudhury; Lerau Seyben; Jasper Snel; Nibin Moni George; Martijn Veening; Johannes A. Langendijk; Andre Dekker; Johan van Soest; Rianne Fijten (CoRR, 2021)

A systematic review on privacy-preserving distributed data mining. - Chang Sun 001; Lianne Ippel; Andre Dekker; Michel Dumontier; Johan van Soest (Data Sci., 2021)

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. - Chang Sun 001; Johan van Soest; Michel Dumontier (CoRR, 2022)

Studying the association of diabetes and healthcare cost on distributed data from the Maastricht Study and Statistics Netherlands using a privacy-preserving federated learning infrastructure. - Chang Sun 001; Johan van Soest; Annemarie Koster; Simone J. P. M. Eussen; Miranda T. Schram; Coen D. A. Stehouwer; Pieter C. Dagnelie; Michel Dumontier (J. Biomed. Informatics, 2022)

Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. - Chang Sun 001; Johan van Soest; Michel Dumontier (SWAT4HCLS, 2023)

Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. - Varsha Gouthamchand; Ananya Choudhury; Frank Hoebers; Frederik Wesseling; Mattea Welch; Sejin Kim; Benjamin Haibe-Kains; Joanna Kazmierska; Andre Dekker; Johan van Soest; Leonard Wee (SWAT4HCLS, 2023)

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. - Chang Sun 001; Johan van Soest; Michel Dumontier (J. Biomed. Informatics, 2023)

ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research. - Chang Sun 001; Marc Gallofré Ocaña; Johan van Soest; Michel Dumontier (Semantic Web, 2023)

Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. - Ananya Choudhury; Esther R. C. Janssen; Bart C. Bongers; Nico L. U. van Meeteren; Andre Dekker; Johan van Soest (BMC Medical Informatics Decis. Mak., 2024)

Operationalizing and digitizing person-centered daily functioning: a case for functionomics. - Esther R. C. Janssen; Ilona M. Punt; Johan van Soest; Yvonne F. Heerkens; Hillegonda A. Stallinga; Huib ten Napel; Lodewijk W. van Rhijn; Barend Mons; Andre Dekker; Paul C. Willems; Nico L. U. van Meeteren (BMC Medical Informatics Decis. Mak., 2024)

A critique of current approaches to privacy in machine learning. - Florian Van Daalen; Marine Jacquemin; Johan van Soest; Nina Stahl; David Townend; Andre Dekker; Iñigo Bermejo (Ethics Inf. Technol., 2025)