Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. - Bob Kemp; Aeilko H. Zwinderman; Bert Tuk; Hilbert A. C. Kamphuisen; Josefien J. L. Oberye (IEEE Trans. Biomed. Eng., 2000)

Comparing transformation methods for DNA microarray data. - Helene H. Thygesen; Aeilko H. Zwinderman (BMC Bioinform., 2004)

Modelling the correlation between the activities of adjacent genes in drosophila. - Helene H. Thygesen; Aeilko H. Zwinderman (BMC Bioinform., 2005)

Modeling Sage data with a truncated gamma-Poisson model. - Helene H. Thygesen; Aeilko H. Zwinderman (BMC Bioinform., 2006)

Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis. - Sandra Waaijenborg; Aeilko H. Zwinderman (Bioinform., 2009)

Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks. - Sandra Waaijenborg; Aeilko H. Zwinderman (BMC Bioinform., 2009)

Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data. - Sandra Waaijenborg; Aeilko H. Zwinderman (Algorithms Mol. Biol., 2010)

Understanding big data themes from scientific biomedical literature through topic modeling. - Allard J. van Altena; Perry D. Moerland; Aeilko H. Zwinderman; Sílvia D. Olabarriaga (J. Big Data, 2016)

Analysis of the term 'big data': Usage in biomedical publications. - Allard J. van Altena; Perry D. Moerland; Aeilko H. Zwinderman; Sílvia D. Olabarriaga (IEEE BigData, 2017)

Sparse redundancy analysis of high-dimensional genetic and genomic data. - Attila Csala; Frans Voorbraak; Aeilko H. Zwinderman; Michel H. Hof (Bioinform., 2017)

Development and evaluating multimarker models for guiding treatment decisions. - Parvin Tajik; Mohammad Hadi Zafarmand; Aeilko H. Zwinderman; Ben Willem J. Mol; Patrick M. M. Bossuyt (BMC Medical Informatics Decis. Mak., 2018)

Manifold Mixing for Stacked Regularization. - João P. B. Pereira; Erik S. G. Stroes; Albert K. Groen; Aeilko H. Zwinderman; Evgeni Levin (PKDD/ECML Workshops (1), 2019)

Usage of the Term Big Data in Biomedical Publications: A Text Mining Approach. - Allard J. van Altena; Perry Moerland; Aeilko H. Zwinderman; Sílvia D. Olabarriaga (Big Data Cogn. Comput., 2019)

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. - Adam Hilbert; Lucas Alexandre Ramos; Hendrikus J. A. van Os; Sílvia D. Olabarriaga; Manon L. Tolhuisen; Marieke J. H. Wermer; Renan Sales Barros; Irene C. van der Schaaf; Diederik W. J. Dippel; Yvo B. W. E. M. Roos; Wim H. van Zwam; Albert J. Yoo; et al. (Comput. Biol. Medicine, 2019)

Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications. - Casper van der Kerk; Attila Csala; Aeilko H. Zwinderman (Comput. Inf. Sci., 2019)

What is reproducibility? - Gerben ter Riet; Bram W. C. Storosum; Aeilko H. Zwinderman (F1000Research, 2019)

Multiset sparse partial least squares path modeling for high dimensional omics data analysis. - Attila Csala; Aeilko H. Zwinderman; Michel H. Hof (BMC Bioinform., 2020)

Regression Analysis in Medical Research - for Starters and 2nd Levelers, Second Edition - Ton J. Cleophas; Aeilko H. Zwinderman (Springer, 2021)

Interpretable Models via Pairwise Permutations Algorithm. - Troy Maasland; João Pereira; Diogo Bastos; Marcus de Goffau; Max Nieuwdorp; Aeilko H. Zwinderman; Evgeni Levin (PKDD/ECML Workshops (1), 2021)

Estimation of incident dynamic AUC in practice. - N. van Geloven; Y. He; Aeilko H. Zwinderman; Hein Putter (Comput. Stat. Data Anal., 2021)

Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. - João P. B. Pereira; Erik S. G. Stroes; Aeilko H. Zwinderman; Evgeni Levin (AAAI, 2022)

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. - David Bouget; André Pedersen; Asgeir S. Jakola; Vasileios Kavouridis; Kyrre Eeg Emblem; Roelant S. Eijgelaar; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Marco Conti Nibali; et al. (CoRR, 2022)

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. - Ragnhild Holden Helland; Alexandros Ferles; André Pedersen; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Tora Dunås; Marco Conti Nibali; Julia Furtner; Shawn Hervey-Jumper; et al. (CoRR, 2023)