Johan van Soest

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Colorectal Cancer

Vertically Partitioned

Distributed Learning

Privacy Preserving

Top Venues

J. Biomed. Informatics

Publications

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
Operationalizing and digitizing person-centered daily functioning: a case for functionomics. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ananya Choudhury, Esther R. C. Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest
Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Chang Sun, Johan van Soest, Michel Dumontier
Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. SWAT4HCLS (2023)
Chang Sun, Marc Gallofré Ocaña, Johan van Soest, Michel Dumontier
ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research. Semantic Web 14 (5) (2023)
Chang Sun, Johan van Soest, Michel Dumontier
Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. J. Biomed. Informatics 143 (2023)
Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee
Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS (2023)
Chang Sun, Johan van Soest, Annemarie Koster, Simone J. P. M. Eussen, Miranda T. Schram, Coen D. A. Stehouwer, Pieter C. Dagnelie, Michel Dumontier
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. J. Biomed. Informatics 134 (2022)
Chang Sun, Johan van Soest, Michel Dumontier
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. CoRR (2022)
Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest
A systematic review on privacy-preserving distributed data mining. Data Sci. 4 (2) (2021)
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
A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. CoRR (2021)
Arturo Moncada-Torres, Frank Martin, Melle Sieswerda, Johan van Soest, Gijs Geleijnse
VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. AMIA (2020)
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
Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intell. 2 (1-2) (2020)
Ananya Choudhury, Johan van Soest, Stuti Nayak, Andre Dekker
Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare. MIND (1) (2020)
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
A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. MedInfo (2019)
Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier
Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. SWAT4HCLS (2019)
Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Trans. Medical Imaging 38 (11) (2019)
Johan van Soest, Ananya Choudhury, Nikhil Gaikwad, Matthijs Sloep, Michel Dumontier, Andre Dekker
Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR. SWAT4HCLS (2019)
Matthijs Sloep, Petros Kalendralis, Johan van Soest, Rianne Fijten
A Modular Approach to Knowledge Graphs and FAIR Data in Healthcare. SWAT4HCLS (2019)
Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Trans. Medical Imaging 38 (1) (2019)
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
Towards a modular decision support system for radiomics: A case study on rectal cancer. Artif. Intell. Medicine 96 (2019)
Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker
Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. SWAT4HCLS (2019)
Tim Lustberg, Johan van Soest, Peter Fick, Rianne Fijten, Tim Hendriks, Sander Puts, Andre Dekker
Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. MIE (2018)
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
Analyzing Partitioned FAIR Health Data Responsibly. CoRR (2018)
Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier
Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. MIE (2018)
Martine de Vos, Berend Weel, Adriënne M. Mendrik, Andre Dekker, Johan van Soest
Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. eScience (2018)
Stefan Klein, Erwin Vast, Johan van Soest, Andre Dekker, Marcel Koek, Wiro J. Niessen
XNAT imaging platform for BioMedBridges and CTMM TraIT. J. Clin. Bioinform. 5 (S-1) (2015)
M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker
Information extraction of eligibility criteria for trial enrolment support. MIE (2015)
Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist, Johan van Soest, Andre Dekker, Vincenzo Valentini
Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. AIME (2015)
Johan van Soest, Tim Lustberg, Detlef Grittner, M. Scott Marshall, Lucas Persoon, Bas Nijsten, Peter Feltens, Andre Dekker
Towards a semantic PACS: Using Semantic Web technology to represent imaging data. MIE (2014)