Marinus J. C. Eijkemans

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 7

Top Topics

Survival Prediction

Top Venues

Briefings Bioinform.

Publications

Megan Schröder, Sam H. A. Muller, Eleni Vradi, Johanna Mielke, Yvonne M. F. Lim, Fabrice Couvelard, Menno Mostert, Stefan Koudstaal, Marinus J. C. Eijkemans, Christoph Gerlinger
Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart. Big Data 11 (6) (2023)
Wouter A. C. van Amsterdam, Marinus J. C. Eijkemans
Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning. CoRR (2019)
Wouter A. C. van Amsterdam, Joost J. C. Verhoeff, Pim A. de Jong, Tim Leiner, Marinus J. C. Eijkemans
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. npj Digit. Medicine 2 (2019)
Michiel P. van Ooijen, Victor L. Jong, Marinus J. C. Eijkemans, Albert J. R. Heck, Arno C. Andeweg, Nadine A. Binai, Henk-Jan van den Ham
Identification of differentially expressed peptides in high-throughput proteomics data. Briefings Bioinform. 19 (5) (2018)
Putri W. Novianti, Victor L. Jong, Kit C. B. Roes, Marinus J. C. Eijkemans
Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia. BMC Bioinform. 18 (1) (2017)
Victor L. Jong, Putri W. Novianti, Kit C. B. Roes, Marinus J. C. Eijkemans
Selecting a classification function for class prediction with gene expression data. Bioinform. 32 (12) (2016)
Putri W. Novianti, Victor L. Jong, Kit C. B. Roes, Marinus J. C. Eijkemans
Factors affecting the accuracy of a class prediction model in gene expression data. BMC Bioinform. 16 (2015)
Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser
Aligning Bayesian Network Classifiers with Medical Contexts. MLDM (2009)