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Aeilko H. Zwinderman
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2020 – today
- 2023
- [i5]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:
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. CoRR abs/2304.08881 (2023) - 2022
- [c4]João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin:
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. AAAI 2022: 7984-7992 - [i4]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
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. CoRR abs/2204.14199 (2022) - 2021
- [b1]Ton J. Cleophas, Aeilko H. Zwinderman:
Regression Analysis in Medical Research - for Starters and 2nd Levelers, Second Edition. Springer 2021, ISBN 978-3-030-61393-8, pp. 1-475 - [j15]N. van Geloven, Y. He
Estimation of incident dynamic AUC in practice. Comput. Stat. Data Anal. 154: 107095 (2021) - [c3]Troy Maasland, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin:
Interpretable Models via Pairwise Permutations Algorithm. PKDD/ECML Workshops (1) 2021: 15-25 - [i3]Troy Maasland, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin:
Interpretable Models via Pairwise permutations algorithm. CoRR abs/2111.09145 (2021) - [i2]João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin:
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. CoRR abs/2111.09744 (2021) - 2020
- [j14]Attila Csala
Multiset sparse partial least squares path modeling for high dimensional omics data analysis. BMC Bioinform. 21(1): 9 (2020)
2010 – 2019
- 2019
- [j13]Allard J. van Altena
Usage of the Term Big Data in Biomedical Publications: A Text Mining Approach. Big Data Cogn. Comput. 3(1): 13 (2019) - [j12]Adam Hilbert
Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. Comput. Biol. Medicine 115 (2019) - [j11]Casper van der Kerk, Attila Csala, Aeilko H. Zwinderman:
Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications. Comput. Inf. Sci. 12(3): 104-116 (2019) - [c2]João P. B. Pereira, Erik S. G. Stroes, Albert K. Groen, Aeilko H. Zwinderman, Evgeni Levin:
Manifold Mixing for Stacked Regularization. PKDD/ECML Workshops (1) 2019: 444-452 - [i1]Gerben ter Riet
What is reproducibility? F1000Research 8: 36 (2019) - 2018
- [j10]Parvin Tajik
Development and evaluating multimarker models for guiding treatment decisions. BMC Medical Informatics Decis. Mak. 18(1): 52:1-52:10 (2018) - 2017
- [j9]Attila Csala
Sparse redundancy analysis of high-dimensional genetic and genomic data. Bioinform. 33(20): 3228-3234 (2017) - [c1]Allard J. van Altena, Perry D. Moerland, Aeilko H. Zwinderman, Sílvia D. Olabarriaga:
Analysis of the term 'big data': Usage in biomedical publications. IEEE BigData 2017: 1253-1258 - 2016
- [j8]Allard J. van Altena, Perry D. Moerland
Understanding big data themes from scientific biomedical literature through topic modeling. J. Big Data 3: 23 (2016) - 2010
- [j7]Sandra Waaijenborg, Aeilko H. Zwinderman:
Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data. Algorithms Mol. Biol. 5: 17 (2010)
2000 – 2009
- 2009
- [j6]Sandra Waaijenborg, Aeilko H. Zwinderman:
Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis. Bioinform. 25(21): 2764-2771 (2009) - [j5]Sandra Waaijenborg, Aeilko H. Zwinderman:
Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks. BMC Bioinform. 10: 315 (2009) - 2006
- [j4]Helene H. Thygesen, Aeilko H. Zwinderman:
Modeling Sage data with a truncated gamma-Poisson model. BMC Bioinform. 7: 157 (2006) - 2005
- [j3]Helene H. Thygesen, Aeilko H. Zwinderman:
Modelling the correlation between the activities of adjacent genes in drosophila. BMC Bioinform. 6: 10 (2005) - 2004
- [j2]Helene H. Thygesen, Aeilko H. Zwinderman:
Comparing transformation methods for DNA microarray data. BMC Bioinform. 5: 77 (2004) - 2000
- [j1]Bob Kemp, Aeilko H. Zwinderman, Bert Tuk
Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE Trans. Biomed. Eng. 47(9): 1185-1194 (2000)
Coauthor Index
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