Aeilko H. Zwinderman

According to our database, Aeilko H. Zwinderman authored at least 23 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewarie, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. de Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget

CoRR, 2023

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, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Tommaso Sciortino, Wimar Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Philip C. de Witt Hamer, Ole Solheim, Ingerid Reinertsen

CoRR, 2022

Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance.

João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Estimation of incident dynamic AUC in practice.

N. van Geloven, Y. He, Aeilko H. Zwinderman, Hein Putter

Comput. Stat. Data Anal., 2021

Interpretable Models via Pairwise Permutations Algorithm.

Troy Maasland, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Regression Analysis in Medical Research - for Starters and 2nd Levelers, Second Edition

Ton J. Cleophas, Aeilko H. Zwinderman

Springer, ISBN: 978-3-030-61393-8, 2021

2020

Multiset sparse partial least squares path modeling for high dimensional omics data analysis.

Attila Csala, Aeilko H. Zwinderman, Michel H. Hof

BMC Bioinform., 2020

2019

What is reproducibility?

Gerben ter Riet, Bram W. C. Storosum, Aeilko H. Zwinderman

F1000Research, 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

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, Bart J. Emmer, Geert J. Lycklama à Nijeholt, Aeilko H. Zwinderman, Gustav J. Strijkers, Charles B. L. M. Majoie, Henk A. Marquering

Comput. Biol. Medicine, 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

Manifold Mixing for Stacked Regularization.

João P. B. Pereira, Erik S. G. Stroes, Albert K. Groen, Aeilko H. Zwinderman, Evgeni Levin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

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

2017

Sparse redundancy analysis of high-dimensional genetic and genomic data.

Attila Csala, Frans Voorbraak, Aeilko H. Zwinderman, Michel H. Hof

Bioinform., 2017

Analysis of the term 'big data': Usage in biomedical publications.

Allard J. van Altena, Perry D. Moerland, Aeilko H. Zwinderman, Sílvia D. Olabarriaga

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

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

2010

Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data.

Sandra Waaijenborg, Aeilko H. Zwinderman

Algorithms Mol. Biol., 2010

2009

Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks.

Sandra Waaijenborg, Aeilko H. Zwinderman

BMC Bioinform., 2009

Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis.

Sandra Waaijenborg, Aeilko H. Zwinderman

Bioinform., 2009

2006

Modeling Sage data with a truncated gamma-Poisson model.

Helene H. Thygesen, Aeilko H. Zwinderman

BMC Bioinform., 2006

2005

Modelling the correlation between the activities of adjacent genes in drosophila.

Helene H. Thygesen, Aeilko H. Zwinderman

BMC Bioinform., 2005

2004

Comparing transformation methods for DNA microarray data.

Helene H. Thygesen, Aeilko H. Zwinderman

BMC Bioinform., 2004

2000

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