IMIS - Marine Research Groups | Compendium Coast and Sea

IMIS - Marine Research Groups

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Research Unit Knowledge-Based Systems (UGent-KERMIT)
https://kermit.ugent.be/
Parent institute: Ghent University; Faculty of Bioscience Engineering; Department of Data Analysis and Mathematical Modelling (UGent), more

Address:
Coupure links 653
9000 Gent
Belgium 		 
Type: Scientific
    ( 32 peer reviewed ) split up filter
  • Peer reviewed article Liu, P.D.; Pan, Q.; Zhu, B.Y. (2024). Dynamic evolution of green total factor productivity growth of China's coastal ports. Marit. Policy Manage. Latest Articles: 23. https://dx.doi.org/10.1080/03088839.2023.2205845, more
  • Peer reviewed article Ratnawati, S.E.; Kuuliala, L.; Verschuere, N.; Cnockaert, M.; Vandamme, P.; Devlieghere, F. (2024). The exploration of dominant spoilage bacteria in blue mussels (Mytilus edulis) stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing. Food Microbiol. 118: 104407. https://dx.doi.org/10.1016/j.fm.2023.104407, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2023). Response of phytoplankton functional types to Hurricane Fabian (2003) in the Sargasso Sea. Mar. Environ. Res. 190(106079): 106079. https://dx.doi.org/10.1016/j.marenvres.2023.106079, more
  • Peer reviewed article Delva, S.; De Baets, B.; Baetens, J.M.; De Clerck, O.; Stock, W. (2023). No bacterial-mediated alleviation of thermal stress in a brown seaweed suggests the absence of ecological bacterial rescue effects. Sci. Total Environ. 876: 162532. https://dx.doi.org/10.1016/j.scitotenv.2023.162532, more
  • Peer reviewed article Latka, A.; Aertsen, A.; Boeckaerts, D.; Blasdel, B.; Ceyssens, P.-J.; Garcia-Pino, A.; Gillis, A.; Lavigne, R.; Lima-Mendez, G.; Matthijnssens, J.; Onsea, J.; Peeters, E.; Pirnay, J.-P.; Thiry, D.; Vandenheuvel, D.; Van Mechelen, E.; Venneman, J.; Verbeken, G.; Wagemans, J.; Briers, Y. (2023). Foundation of the Belgian Society for Viruses of Microbes and meeting report of its inaugural symposium. Viruses 15(5): 1213. https://dx.doi.org/10.3390/v15051213, more
  • Peer reviewed article Ratnawati, S.E.; Kuuliala, L.; Walgraeve, C.; Demeestere, K.; Ragaert, P.; Devlieghere, F. (2023). The effect of high oxygen modified atmospheres on the quality degradation of packed live blue mussels (Mytilus edulis). Lebensm.-Wiss. Technol. 177: 114537. https://dx.doi.org/10.1016/j.lwt.2023.114537, more
  • Peer reviewed article Van den Bulcke, L.; De Backer, A.; Wittoeck, J.; Beentjes, K.; Maes, S.; Christodoulou, M.; Martinez Arbizu, P.; Sapkota, R.; van der Hoorn, B.; Winding, A.; Hostens, K.; Derycke, S. (2023). DNA metabarcoding on repeat: sequencing data of marine macrobenthos are reproducible and robust across labs and protocols. Ecol. Indic. 150: 110207. https://dx.doi.org/10.1016/j.ecolind.2023.110207, more
  • Peer reviewed article Orenstein, E.C.; Ayata, S.-D.; Maps, F.; Becker, E.C.; Benedetti, F.; Biard, T.; de Garidel-Thoron, T.; Ellen, J.S.; Ferrario, F.; Giering, S.L.C.; Guy-Haim, T.; Hoebeke, L.; Iversen, M.H.; Kiørboe, T.; Lalonde, J.-F.; Lana, A.; Laviale, M.; Lombard, F.; Lorimer, T.; Martini, S.; Meyer, A.; Möller, K.O.; Niehoff, B.; Ohman, M.D.; Pradalier, C.; Romagnan, J.-B.; Schröder, S.-M.; Sonnet, V.; Sosik, H.M.; Stemmann, L.S.; Stock, M.; Terbiyik Kurt, T.; Valcárcel-Pérez, N.; Vilgrain, L.; Wacquet, G.; Waite, A.M.; Irisson, J.-O. (2022). Machine learning techniques to characterize functional traits of plankton from image data. Limnol. Oceanogr. 67(8): 1647-1669. https://dx.doi.org/10.1002/lno.12101, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2021). Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso Sea. Nat. Hazards Earth Syst. Sci. 21(2): 837-859. https://hdl.handle.net/10.5194/nhess-21-837-2021, more
  • Peer reviewed article Daly, A.J.; De Meester, N.; Baetens, J.M.; Moens, T.; De Baets, B. (2021). Untangling the mechanisms of cryptic species coexistence in a nematode community through individual-based modelling. Oikos (Kbh.) 130(4): 587-600. https://hdl.handle.net/10.1111/oik.07989, more
  • Peer reviewed article Heyse, J.; Schattenberg, F.; Rubbens, P.; Müller, S.; Waegeman, W.; Boon, N.; Props, R. (2021). Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting. mSystems 6(5): e00551-21. https://dx.doi.org/10.1128/msystems.00551-21, more
  • Peer reviewed article Kuuliala, L.; Pérez-Fernández, R.; Tang, M.; Vanderroost, M.; De Baets, B.; Devlieghere, F. (2021). Probabilistic topic modelling in food spoilage analysis: a case study with Atlantic salmon (Salmo solar). Intern. J. Food Microbiol. 337: 108955. https://hdl.handle.net/10.1016/j.ijfoodmicro.2020.108955, more
  • Peer reviewed article Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes inmicrobial community structure. mSphere 6(1): e00530-20. https://dx.doi.org/10.1128/msphere.00530-20, more
  • Peer reviewed article Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). Cytometric fingerprints of gut microbiota predict Crohn’s disease state. ISME J. 15(1): 354-358. https://dx.doi.org/10.1038/s41396-020-00762-4, more
  • Peer reviewed article Stock, M.; Nguyen, B.; Courtens, W.; Verstraete, H.; Stienen, E.; De Baets, B. (2021). Otolith identification using a deep hierarchical classification model. Comput. Electron. Agric. 180: 105883. https://dx.doi.org/10.1016/j.compag.2020.105883, more
  • Peer reviewed article Wang, G.; Van Stappen, G.; De Baets, B. (2021). Automated detection and counting of Artemia using U-shaped fully convolutional networks and deep convolutional networks. Exp. Syst. Appl. 171: 114562. https://hdl.handle.net/10.1016/j.eswa.2021.114562, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2020). Spatio-temporal variability of oceanographic conditions in the Exclusive Economic Zone of Cuba. J. Mar. Syst. 212: 103416. https://dx.doi.org/10.1016/j.jmarsys.2020.103416, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2020). Oceanic response to Hurricane Irma (2017) in the Exclusive Economic Zone of Cuba and the eastern Gulf of Mexico. Ocean Dynamics 70(5): 603-619. https://dx.doi.org/10.1007/s10236-020-01350-y, more
  • Peer reviewed article García-Timermans, C.; Rubbens, P.; Heyse, J.; Kerckhof, F.-M.; Props, R.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2020). Discriminating bacterial phenotypes at the population and single‐cell level: a comparison of flow cytometry and Raman spectroscopy fingerprinting. Cytometry A 97(7): 713-726. https://dx.doi.org/10.1002/cyto.a.23952, more
  • Peer reviewed article Papagiannopoulou, C.; Parchen, R.; Rubbens, P.; Waegeman, W. (2020). Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods. Anal. Chem. 92(11): 7523-7531. https://dx.doi.org/10.1021/acs.analchem.9b05806, more
  • Peer reviewed article Sader, M.; Pérez-Fernández, R.; Kuuliala, L.; Devlieghere, F.; De Baets, B. (2020). The constrained median: a way to incorporate side information in the assessment of food samples. Mathematics 8(3): 406. https://hdl.handle.net/10.3390/math8030406, more
  • Peer reviewed article Wang, G.; Van Stappen, G.; De Baets, B. (2020). Automated Artemia length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. Comput. Electron. Agric. 168: 105102. https://hdl.handle.net/10.1016/j.compag.2019.105102, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2019). The impact of hurricanes on the oceanographic conditions in the Exclusive Economic Zone of Cuba. Remote Sens. Environ. 233: 111339. https://dx.doi.org/10.1016/j.rse.2019.111339, more
  • Peer reviewed article Heyse, J.; Buysschaert, B.; Props, R.; Rubbens, P.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2019). Coculturing bacteria leads to reduced phenotypic heterogeneities. Appl. Environ. Microbiol. 85(8): e02814-18. https://dx.doi.org/10.1128/aem.02814-18, more
  • Peer reviewed article Kuuliala, L.; Sader, M.; Solimeo, A.; Pérez-Fernández, R.; Vanderroost, M.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F. (2019). Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression. Intern. J. Food Microbiol. 303: 46-57. https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011, more
  • Peer reviewed article Nguyen, B.; Rubbens, P.; Kerckhof, F.-M.; Boon, N.; De Baets, B.; Waegeman, W. (2019). Learning single‐cell distances from cytometry data. Cytometry A 95(7): 782-791. https://dx.doi.org/10.1002/cyto.a.23792, more
  • Peer reviewed article Rubbens, P.; Schmidt, M.L.; Props, R.; Biddanda, B.A.; Boon, N.; Waegeman, W.; Denef, V.J. (2019). Randomized Lasso links microbial taxa with aquatic functional groups inferred from flow cytometry. mSystems 4(5): e00093-19. https://dx.doi.org/10.1128/msystems.00093-19, more
  • Peer reviewed article García-Timermans, C.; Rubbens, P.; Kerckhof, F.-M.; Buysschaert, B.; Khalenkow, D.; Waegeman, W.; Skirtach, A.G.; Boon, N. (2018). Label-free Raman characterization of bacteria calls for standardized procedures. J. microbiol. methods 151: 69-75. https://dx.doi.org/10.1016/j.mimet.2018.05.027, more
  • Peer reviewed article Kuuliala, L.; Al Hage, Y.; Ioannidis, A.-G.; Sader, M.; Kerckhof, F.-M.; Vanderroost, M.; Boon, N.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F. (2018). Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (Gadus morhua) stored under modified atmospheres. Food Microbiol. 70: 232-244. https://dx.doi.org/10.1016/j.fm.2017.10.011, more
  • Peer reviewed article Props, R.; Rubbens, P.; Besmer, M.; Buysschaert, B.; Sigrist, J.; Weilenmann, H.; Waegeman, W.; Boon, N.; Hammes, F. (2018). Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data. Wat. Res. 145: 73-82. https://dx.doi.org/10.1016/j.watres.2018.08.013, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2017). Assessing the effects of ultraviolet radiation on the photosynthetic potential in Archean marine environments. International Journal of Astrobiology 16(3): 271-279. https://dx.doi.org/10.1017/S147355041600032X, more
  • Peer reviewed article Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B. (2017). Modeling the effect of ultraviolet radiation on the photosynthetic potential of Prochlorococcus and Synechococcus cyanobacteria. Aquat. Microb. Ecol. 79(2): 149-164. https://dx.doi.org/10.3354/ame01822, more
  • García-Timermans, C.; Rubbens, P.; Kerckhof, F.M.; Waegeman, W.; Boon, N. (2019). Fingerprinting microbial communities through flow cytometry and Raman spectroscopy, in: BAGECO 15. 15th Symposium on Bacterial Genetics and Ecology: "Ecosystem drivers in a changing planet", 26–30 May 2019, Lisbon/Portugal. pp. 155, more