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2020 – today
- 2024
[j11]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): 121 (2024)- [j10]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): 184 (2024) - 2023
- [j9]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: 104404 (2023) - [j8]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): 977-996 (2023) - [c15]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: 11-21 - [c14]Chang Sun, Johan van Soest, Michel Dumontier:
Analyze Decentralized Personal Health Data Using Solid, Digital Consent, and Federated Learning. SWAT4HCLS 2023: 169-170 - 2022
- [j7]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: 104194 (2022) - [i3]Chang Sun, Johan van Soest, Michel Dumontier:
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs. CoRR abs/2206.13787 (2022) - 2021
- [j6]Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest:
A systematic review on privacy-preserving distributed data mining. Data Sci. 4(2): 121-150 (2021) - [i2]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 abs/2107.02482 (2021) - 2020
- [j5]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): 96-107 (2020) - [c13]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 - [c12]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: 85-95
2010 – 2019
- 2019
- [j4]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: 145-153 (2019) - [j3]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): 99-106 (2019) - [j2]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): 2654-2664 (2019) - [c11]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: 373-377 - [c10]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: 94-101 - [c9]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: 141-142 - [c8]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: 143-144 - [c7]Matthijs Sloep, Petros Kalendralis, Johan van Soest, Rianne Fijten:
A Modular Approach to Knowledge Graphs and FAIR Data in Healthcare. SWAT4HCLS 2019: 155-156 - 2018
- [c6]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: 382-383 - [c5]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: 581-585 - [c4]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: 855-859 - [i1]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 abs/1812.00991 (2018) - 2015
- [j1]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): S18 (2015) - [c3]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: 65-75 - [c2]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: 1034 - 2014
- [c1]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: 166-170
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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