Publications that employed vantage6


Privacy-Preserving Dashboard for FAIR Head and Neck Cancer data supporting multi-centered collaborations.

Gouthamchand V, Choudhury A, Hoebers F, Wesseling F, Welch M, Kim S, Haibe-Kains B, Kazmierska J, Dekker A, Van Soest J, Wee L

SWAT4HCLS | Workshop Proceedings

PREPRINT |Secure and Private Healthcare Analytics: A Feasibility Study of Federated Deep Learning with Personal Health Train

Zhang C, Choudhury A, Volmer L, Soest J, Bermejo I, Dekker A, Gomes A, Wee L


PREPRINT | A comprehensive experimental comparison between federated and centralized learning

Garst S, Dekker J, Reinders M


PREPRINT | FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis

Liao, Xiaofeng & Niehues, Anna & Visser, Casper & Huang, Junda & Doornbos, Cenna & Ederveen, Thomas & Kulkarni, Purva & van der Velde, K. & Swertz, Morris & Brandt, Martin & Gool, Alain & Hoen, Peter.


Federated Bayesian Network Ensembles

van Daalen F, Ippel L, Dekker A, Bermejo I


Head and neck cancers survival in Europe, Taiwan, and Japan: results from RARECAREnet Asia based on a privacy-preserving federated infrastructure

Botta L, Matsuda T, Charvat H, Chiang C, Lee W, van Gestel A, Martin F, Geleijnse G, Cellamare M, Bonfarnuzzo S, Marcos-Gragera R, Guevara M, Mousavi M, Craig S, Rubió-Casadevall J, Licitra L, Cavalieri S, Resteghini C, Gatta G, Trama A


Applying federated learning to combat food fraud in food supply chains

Gavai A, Bouzembrak Y, Mu W, Martin F, Kaliyaperumal R, van Soest J, Choudhury A, Heringa J, Dekker A, Marvin H


Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics

Hamersma D, Schreuder K, Geleijnse G, Heeg E, Cellamare M, Lobbes M, Mureau M, Koppert L, Skjerven H, Nygård J, Groothuis-Oudshoorn C, Siesling S


A federated approach to identify women with early-stage cervical cancer at low risk of lymph node metastases

Wenzel H, Hardie A, Moncada-Torres A, Høgdall C, Bekkers R, Falconer H, Jensen P, Nijman H, van der Aa M, Martin F, van Gestel A, Lemmens V, Dahm-Kähler P, Alfonzo E, Persson J, Ekdahl L, Salehi S, Frøding L, Markauskas A, Fuglsang K, Schnack T.


Privacy Preserving nn-Party Scalar Product Protocol

van Daalen F, Ippel L, Dekker A, Bermejo I



VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values

van Daalen F, Ippel L, Dekker A, Bermejo I


A Federated Generalized Linear Model for Privacy-Preserving Analysis

Cellamare M, van Gestel A, Alradhi H, Martin, F, Moncada-Torres A


An Improved Infrastructure for Privacy-Preserving Analysis of Patient Data

Smits D, van Beusekom B, Martin F, Veen L, Geleijnse G, Moncada-Torres A.


Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

Theophanous S, Lønne P, Choudhury A, Berbee M, Dekker A, Dennis K, Dewdney A, Gambacorta M, Gilbert A, Guren M, Holloway L, Jadon R, Kochhar R, Mohamed A, Muirhead R, Parés O, Raszewski L, Roy R, Scarsbrook A, Sebag-Montefiore D, Spezi E, Spindler K, van Triest B, Vassiliou V, Malinen E, Wee L, Appelt A



Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study

Choudhury A, Theophanous S, Lønne P, Samuel R, Guren M, Berbee M, Brown P, Lilley J, Soest J, Dekker A, Gilbert A, Malinen E, Wee L, Appelt A

159. 10.1016/j.radonc.2021.03.013

VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange

Moncada-Torres A, Martin F, Sieswerda M, Van Soest J, Geleijnse G.

1180 Identifying predictors of lymph node metastases in early-stage cervical cancer by transferring prediction models across international registries

Schnack T, Wenzel H, Norberg Hardie A, Bekkers R, Falconer H, Hogdall C, Jensen P, Lemmens V, Martin F, Nijman H, Van der Aa M, Moncada-Torres A



Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure

Geleijnse G, Chiang C, Sieswerda M, Schuurman M, Lee K, Soest J, Dekker A, Lee W, Verbeek X