Johan van Soest

According to our database, Johan van Soest authored at least 26 papers between 2014 and 2023.

Collaborative distances:

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

2023

ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research.

Chang Sun, Marc Gallofré Ocaña, Johan van Soest, Michel Dumontier

Semantic Web, 2023

Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy.

Chang Sun, Johan van Soest, Michel Dumontier

J. Biomed. Informatics, 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

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning.

Chang Sun, Johan van Soest, Michel Dumontier

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

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, 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

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs.

Chang Sun, Johan van Soest, Michel Dumontier

CoRR, 2022

2021

A systematic review on privacy-preserving distributed data mining.

Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest

Data Sci., 2021

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

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, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker

Data Intell., 2020

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

Proceedings of the AMIA 2020, 2020

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

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

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

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

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure.

Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 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

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Modular Approach to Knowledge Graphs and FAIR Data in Healthcare.

Matthijs Sloep, Petros Kalendralis, Johan van Soest, Rianne Fijten

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario.

Chang Sun, 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, Andre Dekker, Michel Dumontier

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Analyzing Partitioned FAIR Health Data Responsibly.

Chang Sun, 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, Andre Dekker, Michel Dumontier

CoRR, 2018

Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data.

Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 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

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2015

XNAT imaging platform for BioMedBridges and CTMM TraIT.

Stefan Klein, Erwin Vast, Johan van Soest, Andre Dekker, Marcel Koek, Wiro J. Niessen

J. Clin. Bioinform., 2015

Information extraction of eligibility criteria for trial enrolment support.

M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker

Proceedings of the Digital Healthcare Empowering Europeans, 2015

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

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

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

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014