Marc Claesen, PhD
Co-founder & CEO
Marc is the CEO and one of the founding members of Aspect Analytics. He obtained his PhD at KU Leuven with the rare summa cum laude distinction. He specializes in scalable machine learning, modeling strategies for imperfect labeling and automation of data analysis pipelines.
Content authored by Marc
Publications
Marc is a co-author of the following publications:
Zhang et al., 2022. Incorporating morphology via deep learning improves classification performance of MALDI imaging for skin lesions
Verbeeck et al., 2022. Classification of cirrhotic patient samples based on imaging MS of multiplexed N-glycan markers in biofluids., 70th ASMS Conference on Mass Spectrometry and Allied Topics, Minneapolis, Minnesota, USA
Verbeeck et al., 2021. Annotation Studio: a web portal to support the development of IMS-based diagnostic assays, 70th ASMS Conference on Mass Spectrometry and Allied Topics, Minneapolis, Minnesota, USA
Al-Rohil et al., 2021. Diagnosis of melanoma by imaging mass spectrometry: Development and validation of a melanoma prediction model, Journal of Cutaneous Pathology 12:1455–1462
Zhang et al., 2021. Spatially-Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Using Deep Learning, Analytical and Bioanalytical Chemistry 413:2803–2819
Moerman et al., 2020. Metabolite Explorer: A Software Tool for Targeted Analysis of Mass Spectrometry Imaging Data, ASMS 2020 Reboot, online
Zhang et al., 2020. Spatially-Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Through the Use of Pre-trained Neural Networks, ASMS 2020 Reboot, online
Kobarg et al., 2019. Rapid Bioinformatics Prototyping Based on a Public Application Programming Interface, Ourcon VII, Saint-Malo, France
Smets et al., 2019. Evaluation of Distance Metrics and Spatial Autocorrelation in Uniform Manifold Approximation and Projection Applied to Mass Spectrometry Imaging Data, Analytical Chemistry 91:5706–5714
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