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| | Issue Date | Title | Contributor(s) | Type | Cat. |
| 1 | 2024 | Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study | DE BROUWER, Edward; BECKER, Thijs; Werthen-Brabants, Lorin; Dewulf, Pieter; Iliadis, Dimitrios; DEKEYSER, Catherine; Laureys, Guy; Dhaene, Tom; VAN WIJMEERSCH, Bart; Deschrijver, Dirk; POPESCU, Veronica; Waegeman, Willem; De Baets , Bernard; Stock, Michiel; Horakova, Dana; Patti, Francesco; Izquierdo, Guillermo; Eichau, Sara; Girard, Marc; Prat, Alexandre; Lugaresi, Alessandra; Grammond, Pierre; Kalincik, Tomas; Alroughani, Raed; Grand'Maison, Francois; Skibina, Olga; Terzi, Murat; Lechner-Scott, Jeannette; Gerlach, Oliver; Khoury, Samia J.; Cartechini, Elisabetta; Van Pesch, Vincent; Sa, Maria Jose; Weinstock-Guttman, Bianca; Blanco, Yolanda; Ampapa, Radek; Spitaleri, Daniele; Solaro, Claudio; Maimone, Davide; Soysal, Aysun; Iuliano, Gerardo; Gouider, Riadh; Castillo-Trivino, Tamara; Luis Sanchez-Menoyo, Jose; van der Walt, Anneke; Oh, Jiwon; Aguera-Morales, Eduardo; Altintas , Ayse; Al-Asmi, Abdullah; de Gans, Koen; Fragoso, Yara; Csepany, Tunde; Hodgkinson, Suzanne; Deri, Norma; Al-Harbi, Talal; Taylor, Bruce; Gray, Orla; Lalive, Patrice; Rozsa, Csilla; McGuigan, Chris; Kermode, Allan; Perez Sempere, Angel; Mihaela, Simu; Simo, Magdolna; Hardy, Todd; Decoo, Danny; Hughes, Stella; Grigoriadis, Nikolaos; Sas, Attila; Vella, Norbert; Moreau, Yves; PEETERS, Liesbet; McGinnis, Ryan S | Journal Contribution | A1 |
| 2 | 2023 | Decision trees and random forests | BECKER, Thijs; ROUSSEAU, Axel-Jan; GEUBBELMANS, Melvin; BURZYKOWSKI, Tomasz; VALKENBORG, Dirk | Journal Contribution | A1 |
| 3 | 2022 | Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional Datasets | Gevaert, Arne; ROUSSEAU, Axel-Jan; De Bie, Tijl; BECKER, Thijs; Saeys, Yvan; VALKENBORG, Dirk | Dataset | DS |
| 4 | 2022 | Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters | Gevaert, Arne; ROUSSEAU, Axel-Jan; De Bie, Tijl; VALKENBORG, Dirk; BECKER, Thijs; Saeys, Yvan | Dataset | DS |
| 5 | 2022 | Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset | YPERMAN, Jan; POPESCU, Veronica; VAN WIJMEERSCH, Bart; BECKER, Thijs; PEETERS, Liesbet | Journal Contribution | A1 |
| 6 | 2022 | 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] | DE BROUWER, Edward; BECKER, Thijs; Moreau, Yves; Havrdova, Eva Kubala; Trojano, Maria; Eichau, Sara; Ozakbas, Serkan; Onofrj, Marco; Grammond, Pierre; Kuhle, Jens; Kappos, Ludwig; Sola, Patrizia; Cartechini, Elisabetta; Lechner-Scott, Jeannette; Alroughani, Raed; Gerlach, Oliver; Kalincik, Tomas; Granella, Franco; Grand'Maison, Francois; VAN WIJMEERSCH, Bart; Bergamaschi, Roberto; Sá, Maria José; Soysal, Aysun; Sanchez-Menoyo, Jose Luis; Solaro, Claudio; Boz, Cavit; Iuliano, Gerardo; Buzzard, Katherine; Aguera-Morales, Eduardo; Terzi, Murat; Trivio, Tamara Castillo; Spitaleri, Daniele; Van Pesch, Vincent; Shaygannejad, Vahid; Moore, Fraser; Oreja-Guevara, Celia; Maimone, Davide; Gouider, Riadh; Csepany, Tunde; Ramo-Tello, Cristina; PEETERS, Liesbet | Journal Contribution | A1 |
| 7 | 2021 | Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection | BECKER, Thijs; Vandecasteele, Kaat; Chatzichristos, Christos; Van Paesschen, Wim; VALKENBORG, Dirk; Van Huffel, Sabine; De Vos, Maarten | Journal Contribution | A1 |
| 8 | 2021 | Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation | ROUSSEAU, Axel-Jan; BECKER, Thijs; Bertels, Jeroen; Blaschko, Matthew B.; VALKENBORG, Dirk | Proceedings Paper | C1 |
| 9 | 2021 | Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression | DE BROUWER, Edward; BECKER, Thijs; Moreau, Yves; Havrdova, Eva; Trojano, Maria; Eichau, Sara; Ozakbas, Serkan; Onofrj, Marco; Grammond, Pierre; Kuhle, Jens; Kappos, Ludwig; Sola, Patrizia; Cartechini, Elisabetta; Lechner-Scott, Jeannette; Alroughani, Raed; Gerlach, Oliver; Kalincik, Tomas; Granella, Franco; Grand'maison, Francois; Bergamaschi, Roberto; José Sá, Maria; VAN WIJMEERSCH, Bart; Soysal, Aysun; Sanchez-Menoyo, Jose; Solaro, Claudio; Boz, Cavit; Iuliano, Gerardo; Buzzard, Katherine; Aguera-Morales, Eduardo; Terzi, Murat; Trivio, Tamara; Spitaleri, Daniele; Van Pesch, Vincent; Shaygannejad, Vahid; Moore, Fraser; Oreja-Guevara, Celia; Maimone, Davide; Gouider, Riadh; Csepany, Tunde; Ramo-Tello, Cristina; PEETERS, Liesbet | Journal Contribution | A1 |
| 10 | 2021 | Multicentric motor evoked potentials in multiple sclerosis: a retrospective pilot study | DEKEYSER, Catherine; YPERMAN, Jan; KHAN, Hamza; VAN WIJMEERSCH, Bart; Verhoeven, K.; Cambron, M.; BECKER, Thijs; Laureys, G.; PEETERS, Liesbet | Journal Contribution | M |
| 11 | 2020 | Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis | YPERMAN, Jan; BECKER, Thijs; VALKENBORG, Dirk; POPESCU, Veronica; HELLINGS, Niels; VAN WIJMEERSCH, Bart; PEETERS, Liesbet | Journal Contribution | A1 |
| 12 | 2020 | Deciphering the Morphology of Motor Evoked Potentials | YPERMAN, Jan; BECKER, Thijs; VALKENBORG, Dirk; HELLINGS, Niels; Cambron, M; Dive, D; Laureys, G.; POPESCU, Veronica; VAN WIJMEERSCH, Bart; PEETERS, Liesbet | Journal Contribution | A1 |
| 13 | 2019 | Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis | YPERMAN, Jan; BECKER, Thijs; VALKENBORG, Dirk; POPESCU, Veronica; HELLINGS, Niels; VAN WIJMEERSCH, Bart; PEETERS, Liesbet | Journal Contribution | M |
| 14 | 2019 | Deciphering morphology of Evoked Potentials | YPERMAN, Jan; BECKER, Thijs; VALKENBORG, Dirk; HELLINGS, Niels; Cambron, M.; Dive, D.; Laureys, G.; POPESCU, Veronica; VAN WIJMEERSCH, Bart; PEETERS, Liesbet | Journal Contribution | M |
| 15 | 2019 | Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression | DE BROUWER, Edward; PEETERS, Liesbet; BECKER, Thijs; Altintas, A.; Soysal, A.; VAN WIJMEERSCH, Bart; Boz, C.; Oreja-Guevara, C.; Gobbi, C.; Solaro, C.; Ramo, C.; Spitaleri, D. L.; Maimone, D.; Aguera-Morales, E.; Cartechini, E.; Butler, E.; Havrdova, E.; Patti, F.; Granella, F.; Grand'Maison, F.; Moore, F.; Verheul, F.; Luliano, G.; Butzkueven, H.; Lechner-Scott, J.; Kuhle, J.; Sanchez Menoyo, J. L.; Rojas, J. I.; Prevost, J.; Onofrj, M.; Rio, M. E.; Sa, M. J.; Saladino, M. L.; Slee, M.; Barnett, M.; Terzi, M.; Deri, N.; McCombe, P.; Sola, P.; Duquette, P.; Grammond, P.; Ampapa, R.; Alroughani, R.; Hupperts, R.; Turkoglu, R.; Gouider, R.; Fernandez Bolanos, R.; Bergamaschi, R.; Kalincik, T.; Moreau, Y. | Journal Contribution | M |
| 16 | 2016 | Comment on “Generalized exclusion processes: Transport coefficients” | BECKER, Thijs; NELISSEN, Kwinten; CLEUREN, Bart; Partoens, Bart; VAN DEN BROECK, Christian | Journal Contribution | A2 |
| 17 | 2015 | Current fluctuations in boundary driven diffusive systems in different dimensions: a numerical study | BECKER, Thijs; NELISSEN, Kwinten; CLEUREN, Bart | Journal Contribution | A1 |
| 18 | 2015 | Echo states for detailed fluctuation theorems | BECKER, Thijs; WILLAERT, Tim; CLEUREN, Bart; VAN DEN BROECK, Christian | Journal Contribution | A1 |
| 19 | 2015 | Diffusion of interacting particles in confined geometries: a random walk approach | BECKER, Thijs | Theses and Dissertations | T1 |
| 20 | 2014 | Diffusion of interacting particles in discrete geometries: Equilibrium and dynamical properties | BECKER, Thijs; NELISSEN, Kwinten; CLEUREN, Bart; Partoens, Bart; VAN DEN BROECK, Christian | Journal Contribution | A1 |
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