Publications that employed vantage6
2023
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
10.1109/FMEC59375.2023.10306230
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
2022
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
2021
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
2020
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