Johan van Soest

30 papers B 1Misc 1Journal 15Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A critique of current approaches to privacy in machine learning. Ethics Inf. Technol. Florian Van Daalen, Marine Jacquemin, Johan van Soest, Nina Stahl, David Townend, Andre Dekker, Iñigo Bermejo
2024	J	`jnl`	Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. BMC Medical Informatics Decis. Mak. Ananya Choudhury, Esther R. C. Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest
2024	J	`jnl`	Operationalizing and digitizing person-centered daily functioning: a case for functionomics. BMC Medical Informatics Decis. Mak. 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
2023	—	`conf`	Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. SWAT4HCLS Chang Sun, Johan van Soest, Michel Dumontier
2023	J	`jnl`	Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. J. Biomed. Informatics Chang Sun, Johan van Soest, Michel Dumontier
2023	—	`conf`	Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee
2023	J	`jnl`	ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research. Semantic Web Chang Sun, Marc Gallofré Ocaña, Johan van Soest, Michel Dumontier
2022	J	`jnl`	Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. CoRR Chang Sun, Johan van Soest, Michel Dumontier
2022	J	`jnl`	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 Chang Sun, Johan van Soest, Annemarie Koster, Simone J. P. M. Eussen, Miranda T. Schram, Coen D. A. Stehouwer, Pieter C. Dagnelie, Michel Dumontier
2021	J	`jnl`	A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. CoRR 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
2021	J	`jnl`	A systematic review on privacy-preserving distributed data mining. Data Sci. Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest
2020	J	`jnl`	Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intell. 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
2020	—	`conf`	Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare. MIND (1) Ananya Choudhury, Johan van Soest, Stuti Nayak, Andre Dekker
2020	Misc	`conf`	VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. AMIA Arturo Moncada-Torres, Frank Martin, Melle Sieswerda, Johan van Soest, Gijs Geleijnse
2019	—	`conf`	A Modular Approach to Knowledge Graphs and FAIR Data in Healthcare. SWAT4HCLS Matthijs Sloep, Petros Kalendralis, Johan van Soest, Rianne Fijten
2019	—	`conf`	A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. MedInfo 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
2019	J	`jnl`	An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Trans. Medical Imaging Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
2019	—	`conf`	Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR. SWAT4HCLS Johan van Soest, Ananya Choudhury, Nikhil Gaikwad, Matthijs Sloep, Michel Dumontier, Andre Dekker
2019	J	`jnl`	Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Trans. Medical Imaging Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
2019	—	`conf`	Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. SWAT4HCLS Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker
2019	J	`jnl`	Towards a modular decision support system for radiomics: A case study on rectal cancer. Artif. Intell. Medicine 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
2019	—	`conf`	Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. SWAT4HCLS Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier
2018	J	`jnl`	Analyzing Partitioned FAIR Health Data Responsibly. CoRR 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
2018	—	`conf`	Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. eScience Martine de Vos, Berend Weel, Adriënne M. Mendrik, Andre Dekker, Johan van Soest
2018	—	`conf`	Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. MIE Tim Lustberg, Johan van Soest, Peter Fick, Rianne Fijten, Tim Hendriks, Sander Puts, Andre Dekker
2018	—	`conf`	Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. MIE Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier
2015	B	`conf`	Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. AIME Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist, Johan van Soest, Andre Dekker, Vincenzo Valentini
2015	—	`conf`	Information extraction of eligibility criteria for trial enrolment support. MIE M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker
2015	J	`jnl`	XNAT imaging platform for BioMedBridges and CTMM TraIT. J. Clin. Bioinform. Stefan Klein, Erwin Vast, Johan van Soest, Andre Dekker, Marcel Koek, Wiro J. Niessen
2014	—	`conf`	Towards a semantic PACS: Using Semantic Web technology to represent imaging data. MIE Johan van Soest, Tim Lustberg, Detlef Grittner, M. Scott Marshall, Lucas Persoon, Bas Nijsten, Peter Feltens, Andre Dekker