Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2023), Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability, In ICMLT 2023 - Proceedings of 2023 8th International Conference on Machine Learning Technologies p.127-132, Association for Computing Machinery (ACM).

Lieke Michielsen, Mohammad Lotfollahi, Daniel Strobl, Lisa Sikkema, Marcel J.T. Reinders, Fabian J. Theis, Ahmed Mahfouz (2023), Single-cell reference mapping to construct and extend cell-type hierarchies, In NAR Genomics and Bioinformatics Volume 5 p.12.

Daniele Bizzarri, Marcel J. T. Reinders, Marian Beekman, P. Eline Slagboom, Erik B. van den Akker (2023), Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health’s 1H-NMR Metabolomics Platform, In Metabolites Volume 13.

Meng Zhang, Andrea B. Ganz, Susan Rohde, Linda Lorenz, Annemieke J.M. Rozemuller, Marcel J.T. Reinders, Marc Hulsman, Jeroen J.M. Hoozemans, Henne Holstege, More Authors (2023), The correlation between neuropathology levels and cognitive performance in centenarians, In Alzheimer's and Dementia Volume 19 p.5036-5047.

Jim M. Smit, Jesse H. Krijthe, Jasper van Bommel, M. E. van Genderen, J. A. Labrecque, M. Komorowski, D. A.M.P.J. Gommers, M. J.T. Reinders (2023), The future of artificial intelligence in intensive care: moving from predictive to actionable AI.

Akash Singh, Kirti Biharie, Marcel J.T. Reinders, Ahmed Mahfouz, Tamim Abdelaal (2023), scTopoGAN: unsupervised manifold alignment of single-cell data, In Bioinformatics Advances Volume 3.

D. Bizzarri, M. J.T. Reinders, M. Beekman, P. E. Slagboom, E. B. van den Akker (2022), 1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints, In EBioMedicine Volume 75.

Marc P. Maurits, Ilya Korsunsky, Soumya Raychaudhuri, Shawn N. Murphy, Jordan W. Smoller, Scott T. Weiss, Thomas W.J. Huizinga, Marcel J.T. Reinders, Erik B. Van Den Akker, More Authors (2022), A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history, In Journal of the American Medical Informatics Association Volume 29 p.761-769.

Elisabeth J. van Bree, Rita L.F.P. Guimarães, Mischa Lundberg, Elena R. Blujdea, Jimi L. Rosenkrantz, Fred T.G. White, Marcel J.T. Reinders, Henne Holstege, Frank M.J. Jacobs, More Authors (2022), A hidden layer of structural variation in transposable elements reveals potential genetic modifiers in human disease-risk loci, In Genome research Volume 32 p.656-670.

F. Ferraro, Christina Fevga, Vincenzo Bonifati, Wim Mandemakers, A.M.E.T.A. Mahfouz, M.J.T. Reinders (2022), Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways, In Cells Volume 11.