Items where authors include "de Kamps, M"

Article

Briggs, E orcid.org/0000-0003-0757-6187, de Kamps, M orcid.org/0000-0001-7162-4425, Hamilton, W et al. (3 more authors) (2022) Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools. Cancers, 14 (20). 5023. ISSN 2072-6694

Osborne, H and de Kamps, M orcid.org/0000-0001-7162-4425 (2022) A Numerical Population Density Technique for N-Dimensional Neuron Models. Frontiers in Neuroinformatics, 16. 883796. ISSN 1662-5196

Broad, A orcid.org/0000-0001-7131-6860, Wright, AI, de Kamps, M orcid.org/0000-0001-7162-4425 et al. (1 more author) (2022) Attention-guided sampling for colorectal cancer analysis with digital pathology. Journal of Pathology Informatics, 13. 100110. ISSN 2229-5089

York, G, Osborne, H, Sriya, P et al. (3 more authors) (2022) The Effect of Limb Position on a Static Knee Extension Task can be Explained with a Simple Spinal Cord Circuit Model. Journal of Neurophysiology, 127 (1). pp. 173-187. ISSN 0022-3077

Osborne, H, Lai, YM, Lepperød, ME et al. (3 more authors) (2021) MIIND : A Model-Agnostic Simulator of Neural Populations. Frontiers in Neuroinformatics, 15. 614881. ISSN 1662-5196

Arnold, KF orcid.org/0000-0002-0911-5029, Davies, V, de Kamps, M orcid.org/0000-0001-7162-4425 et al. (3 more authors) (2020) Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning. International Journal of Epidemiology, 49 (6). pp. 2074-2082. ISSN 0300-5771

Wilkinson, J, Arnold, KF orcid.org/0000-0002-0911-5029, Murray, EJ et al. (9 more authors) (2020) Time to reality check the promises of machine learning-powered precision medicine. The Lancet Digital Health. ISSN 2589-7500

Einevoll, GT, Destexhe, A, Diesmann, M et al. (7 more authors) (2019) The Scientific Case for Brain Simulators. Neuron, 102 (4). pp. 735-744. ISSN 0896-6273

de Kamps, M orcid.org/0000-0001-7162-4425, Lepperød, M and Lai, YM (2019) Computational geometry for modeling neural populations: From visualization to simulation. PLoS Computational Biology, 15 (3). e1006729. ISSN 1553-734X

van der Velde, F and de Kamps, M (2015) The necessity of connection structures in neural models of variable binding. Cognitive Neurodynamics. ISSN 1871-4080

Waddington, A, Appleby, PA, de Kamps, M et al. (1 more author) (2012) Triphasic Spike-Timing-Dependent Plasticity Organizes Networks to Produce Robust Sequences of Neural Activity. Frontiers in Computational Neuroscience, 6. ISSN 1662-5188

Conference or Workshop Item

Keighley, J orcid.org/0000-0002-3647-0683, de Kamps, M orcid.org/0000-0001-7162-4425, Wright, A et al. (1 more author) (2023) Digital pathology whole slide image compression with Vector Quantized Variational Autoencoders. In: SPIE Medical Imaging 2023 (MI23).

Proceedings Paper

Keighley, J orcid.org/0000-0002-3647-0683, de Kamps, M orcid.org/0000-0001-7162-4425, Wright, A et al. (1 more author) (2023) Digital pathology whole slide image compression with Vector Quantized Variational Autoencoders. In: Medical Imaging 2023: Digital and Computational Pathology. SPIE Medical Imaging 2023, 19-24 Feb 2023, San Diego, USA. SPIE .

Farid, NF, de Kamps, M orcid.org/0000-0001-7162-4425 and Johnson, OA orcid.org/0000-0003-3998-541X (2019) Process Mining in Frail Elderly Care: A Literature Review. In: Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF. HEALTHINF 2019, 22-24 Feb 2019, Prague, Czech Republic. SciTePress, Science and Technology Publications , pp. 332-339. ISBN 978-989-758-353-7

Mbotwa, JL, de Kamps, M orcid.org/0000-0001-7162-4425, Baxter, PD orcid.org/0000-0003-2699-3103 et al. (2 more authors) (2018) Latent Class Regression Modelling: A novel approach to predict survival of patients with Chronic Heart Failure. In: Journal of Epidemiology and Community Health. Society for Social Medicine 62nd Annual Scientific Meeting, 05-07 Sep 2018. BMJ Publishing Group , A67-A68.

Lai, YM and de Kamps, M orcid.org/0000-0001-7162-4425 (2016) Population density techniques for modeling neural populations. In: COSYNE 2016; Main Meeting. Computational and Systems Neuroscience (Cosyne) 2016, 25-28 Feb 2016, Salt Lake City, USA. COSYNE , p. 222.

de Kamps, M orcid.org/0000-0001-7162-4425 and Sichau, D (2013) pMIIND-an MPI-based population density simulation framework. In: BMC Neuroscience. Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, 13-18 Jul 2013, Paris, France. BioMed Central .