Researcher
Thijs BECKER
- Keywords:Physics (incl. astronomy), Mathematics
- Disciplines:Statistics, Data mining, Machine learning and decision making
Affiliations
- Immunology & Infection (Department)
Member
From16 Oct 2021 → 15 Oct 2022 - Biomedical Research Institute (Research institute)
Member
From16 Oct 2021 → 15 Oct 2022 - Faculty of Medicine and Life Sciences (Faculty)
Member
From16 Oct 2021 → 15 Oct 2022 - Immunology & Infection (Research group)
Member
From16 Oct 2021 → 15 Oct 2022 - Data Science Institute (Research institute)
Member
From1 Jun 2019 → 30 Sep 2022 - Centre for Statistics (Research group)
Member
From1 Oct 2018 → 30 Sep 2022 - Mathematics and statistics (Department)
Member
From1 Oct 2018 → 30 Sep 2022 - Research Institute Center for Statistics (Research institute)
Member
From1 Oct 2018 → 31 May 2019 - Faculty of Sciences (Faculty)
Member
From1 Oct 2011 → 30 Sep 2022 - Physics (Department)
Member
From1 Oct 2011 → 30 Sep 2018 - Theory lab (Research group)
Member
From1 Oct 2011 → 30 Sep 2018
Projects
1 - 2 of 2
- Short term changes in "Radiomic" features predict long-term treatment effectivenessFrom1 Sep 2019 → 31 Aug 2020Funding: Foreign foundations, funds with scientific view
- ELIXIR Infrastructure for Data and Services to strengthen Life-Sciences Research in FlandersFrom1 Jan 2019 → 31 Dec 2022Funding: FWO International research infrastructure (IRI), Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 18
- Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180](2022)
Authors: Edward DE BROUWER, Thijs BECKER, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, et al.
Pages: 106479 - Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation(2021)
Authors: Axel-Jan ROUSSEAU, Thijs BECKER, Jeroen Bertels, Matthew B. Blaschko, Dirk VALKENBORG
Pages: 1052 - 1056 - Multicentric motor evoked potentials in multiple sclerosis: a retrospective pilot study(2021)
Authors: Catherine DEKEYSER, Jan YPERMAN, Hamza KHAN, Bart VAN WIJMEERSCH, K. Verhoeven, M. Cambron, Thijs BECKER, G. Laureys, Liesbet PEETERS
Pages: 190 - 190 - Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection(2021)
Authors: Thijs BECKER, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk VALKENBORG, Sabine Van Huffel, Maarten De Vos
- Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression(2021)
Authors: Edward DE BROUWER, Thijs BECKER, Yves Moreau, Eva Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, et al.
- Deciphering the Morphology of Motor Evoked Potentials(2020)
Authors: Jan YPERMAN, Thijs BECKER, Dirk VALKENBORG, Niels HELLINGS, M Cambron, D Dive, G. Laureys, Veronica POPESCU, Bart VAN WIJMEERSCH, Liesbet PEETERS
- Deciphering morphology of Evoked Potentials(2019)
Authors: Jan YPERMAN, Thijs BECKER, Dirk VALKENBORG, Niels HELLINGS, M. Cambron, D. Dive, G. Laureys, Veronica POPESCU, Bart VAN WIJMEERSCH, Liesbet PEETERS
Pages: 563 - 563 - Echo states for detailed fluctuation theorems
Authors: Thijs BECKER, Tim WILLAERT, Bart CLEUREN, Christian VAN DEN BROECK
- Adsorption and desorption in confined geometries: A discrete hopping model
Authors: Thijs BECKER, Kwinten NELISSEN, Bart CLEUREN, Bart PARTOENS, Christian VAN DEN BROECK
Pages: 3243 - 3256 - Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis
Authors: Jan YPERMAN, Thijs BECKER, Dirk VALKENBORG, Veronica POPESCU, Niels HELLINGS, Bart VAN WIJMEERSCH, Liesbet PEETERS