Researcher
Jan YPERMAN
- Keywords:Physics (incl. astronomy), Biomedical sciences (incl. biochemistry)
- Disciplines:Data mining, Machine learning and decision making
Affiliations
- Immunology & Infection (Department)
Member
From1 Jan 2020 → 28 Feb 2022 - Immunology & Infection (Research group)
Member
From1 Jan 2020 → 28 Feb 2022 - Faculty of Medicine and Life Sciences (Faculty)
Member
From16 Sep 2019 → 28 Feb 2022 - Biomedical Research Institute (Research institute)
Member
From16 Sep 2019 → 28 Feb 2022 - Immunology - Biochemistry (Research group)
Member
From16 Sep 2019 → 31 Dec 2019 - Physiology - Biochemistry - Immunology (Department)
Member
From16 Sep 2019 → 31 Dec 2019 - Physics (Department)
Member
From16 Sep 2015 → 15 Sep 2021 - Theory lab (Research group)
Member
From16 Sep 2015 → 15 Sep 2021 - Faculty of Sciences (Faculty)
Member
From16 Sep 2015 → 15 Sep 2021
Projects
1 - 2 of 2
- Photocatalytic degradation of diclofenac by activated carbon impregnated with TiO2From1 Jul 2017 → 30 Sep 2017Funding: BOF - Doctoral projects
- Comparative study of different adsorbents for phosphate and nitrate removal from wastewaterFrom22 Jun 2017 → 21 Sep 2017Funding: BOF - Doctoral projects
Publications
1 - 7 of 7
- Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset(2022)
Authors: Jan YPERMAN, Veronica POPESCU, Bart VAN WIJMEERSCH, Thijs BECKER, Liesbet PEETERS
- Infrared thermography: A new approach for the characterization and management of activated carbons applied in water treatment(2021)
Authors: Thayset MARINO PEACOK, Harold CRESPO SARIOL, Jan YPERMAN, Á. Sánchez Roca, Robert CARLEER, Jeamichel PUENTE TORRES, Peter ADRIAENSENS, G. Gryglewicz, Guy REGGERS, Jan CZECH, et al.
- Bridging the gap between machine learning and evoked potentials in MS(2021)
Authors: Jan YPERMAN, Bart CLEUREN
Number of pages: 190 - Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis(2020)
Authors: Jan YPERMAN, Thijs BECKER, Dirk VALKENBORG, Veronica POPESCU, Niels HELLINGS, Bart VAN WIJMEERSCH, Liesbet PEETERS
- 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 - Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis(2019)
Authors: Jan YPERMAN, Thijs BECKER, Dirk VALKENBORG, Veronica POPESCU, Niels HELLINGS, Bart VAN WIJMEERSCH, Liesbet PEETERS
Pages: 874 - 875