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Dynamic evolution of green total factor productivity growth of China's coastal ports. <i>Marit. Policy Manage. Latest Articles</i>: 23. <a href=\"https://dx.doi.org/10.1080/03088839.2023.2205845\" target=\"_blank\">https://dx.doi.org/10.1080/03088839.2023.2205845</a>","PeerRev":1},{"BRefID":391457,"RR":"<b>Ratnawati, S.E.; Kuuliala, L.; Verschuere, N.; Cnockaert, M.; Vandamme, P.; Devlieghere, F.</b> (2024). The exploration of dominant spoilage bacteria in blue mussels<i> (Mytilus edulis)</i> stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing. <i>Food Microbiol. 118</i>: 104407. <a href=\"https://dx.doi.org/10.1016/j.fm.2023.104407\" target=\"_blank\">https://dx.doi.org/10.1016/j.fm.2023.104407</a>","PeerRev":1},{"BRefID":405140,"RR":"<b>Vanavermaete, D.; De Witte, B.; Hostens, K.; Ruttens, A.; Waegeneers, N.; Cheyns, K.; Leus, J.; De Baets, B.</b> (2024). Bioaccumulation of organic and inorganic contaminants in biota: A long-term evaluation in the Belgian part of the North Sea. <i>Mar. Pollut. Bull. 209</i>: 117068. <a href=\"https://dx.doi.org/10.1016/j.marpolbul.2024.117068\" target=\"_blank\">https://dx.doi.org/10.1016/j.marpolbul.2024.117068</a>","PeerRev":1},{"BRefID":366379,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2023). Response of phytoplankton functional types to Hurricane Fabian (2003) in the Sargasso Sea. <i>Mar. Environ. Res. 190(106079)</i>: 106079. <a href=\"https://dx.doi.org/10.1016/j.marenvres.2023.106079\" target=\"_blank\">https://dx.doi.org/10.1016/j.marenvres.2023.106079</a>","PeerRev":1},{"BRefID":366808,"RR":"<b>Delva, S.; De Baets, B.; Baetens, J.M.; De Clerck, O.; Stock, W.</b> (2023). No bacterial-mediated alleviation of thermal stress in a brown seaweed suggests the absence of ecological bacterial rescue effects. <i>Sci. Total Environ. 876</i>: 162532. <a href=\"https://dx.doi.org/10.1016/j.scitotenv.2023.162532\" target=\"_blank\">https://dx.doi.org/10.1016/j.scitotenv.2023.162532</a>","PeerRev":1},{"BRefID":365061,"RR":"<b>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.</b> (2023). Foundation of the Belgian Society for Viruses of Microbes and meeting report of its inaugural symposium. <i>Viruses 15(5)</i>: 1213. <a href=\"https://dx.doi.org/10.3390/v15051213\" target=\"_blank\">https://dx.doi.org/10.3390/v15051213</a>","PeerRev":1},{"BRefID":391525,"RR":"<b>Ratnawati, S.E.; Kuuliala, L.; Walgraeve, C.; Demeestere, K.; Ragaert, P.; Devlieghere, F.</b> (2023). The effect of high oxygen modified atmospheres on the quality degradation of packed live blue mussels<i> (Mytilus edulis)</i>. <i>Lebensm.-Wiss. Technol. 177</i>: 114537. <a href=\"https://dx.doi.org/10.1016/j.lwt.2023.114537\" target=\"_blank\">https://dx.doi.org/10.1016/j.lwt.2023.114537</a>","PeerRev":1},{"BRefID":363668,"RR":"<b>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.</b> (2023). DNA metabarcoding on repeat: sequencing data of marine macrobenthos are reproducible and robust across labs and protocols. <i>Ecol. 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Oceanogr. 67(8)</i>: 1647-1669. <a href=\"https://dx.doi.org/10.1002/lno.12101\" target=\"_blank\">https://dx.doi.org/10.1002/lno.12101</a>","PeerRev":1},{"BRefID":337285,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2021). Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso Sea. <i>Nat. Hazards Earth Syst. Sci. 21(2)</i>: 837-859. <a href=\"https://hdl.handle.net/10.5194/nhess-21-837-2021\" target=\"_blank\">https://hdl.handle.net/10.5194/nhess-21-837-2021</a>","PeerRev":1},{"BRefID":337340,"RR":"<b>Daly, A.J.; De Meester, N.; Baetens, J.M.; Moens, T.; De Baets, B.</b> (2021). Untangling the mechanisms of cryptic species coexistence in a nematode community through individual-based modelling. <i>Oikos (Kbh.) 130(4)</i>: 587-600. <a href=\"https://hdl.handle.net/10.1111/oik.07989\" target=\"_blank\">https://hdl.handle.net/10.1111/oik.07989</a>","PeerRev":1},{"BRefID":348868,"RR":"<b>Heyse, J.; Schattenberg, F.; Rubbens, P.; Müller, S.; Waegeman, W.; Boon, N.; Props, R.</b> (2021). Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting. <i>mSystems 6(5)</i>: e00551-21. <a href=\"https://dx.doi.org/10.1128/msystems.00551-21\" target=\"_blank\">https://dx.doi.org/10.1128/msystems.00551-21</a>","PeerRev":1},{"BRefID":337396,"RR":"<b>Kuuliala, L.; Pérez-Fernández, R.; Tang, M.; Vanderroost, M.; De Baets, B.; Devlieghere, F.</b> (2021). Probabilistic topic modelling in food spoilage analysis: a case study with Atlantic salmon (<i>Salmo solar</i>). <i>Intern. J. Food Microbiol. 337</i>: 108955. <a href=\"https://hdl.handle.net/10.1016/j.ijfoodmicro.2020.108955\" target=\"_blank\">https://hdl.handle.net/10.1016/j.ijfoodmicro.2020.108955</a>","PeerRev":1},{"BRefID":348873,"RR":"<b>Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W.</b> (2021). PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes inmicrobial community structure. <i>mSphere 6(1)</i>: e00530-20. <a href=\"https://dx.doi.org/10.1128/msphere.00530-20\" target=\"_blank\">https://dx.doi.org/10.1128/msphere.00530-20</a>","PeerRev":1},{"BRefID":332287,"RR":"<b>Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W.</b> (2021). Cytometric fingerprints of gut microbiota predict Crohn’s disease state. <i>ISME J. 15(1)</i>: 354-358. <a href=\"https://dx.doi.org/10.1038/s41396-020-00762-4\" target=\"_blank\">https://dx.doi.org/10.1038/s41396-020-00762-4</a>","PeerRev":1},{"BRefID":331773,"RR":"<b>Stock, M.; Nguyen, B.; Courtens, W.; Verstraete, H.; Stienen, E.; De Baets, B.</b> (2021). Otolith identification using a deep hierarchical classification model. <i>Comput. Electron. Agric. 180</i>: 105883. <a href=\"https://dx.doi.org/10.1016/j.compag.2020.105883\" target=\"_blank\">https://dx.doi.org/10.1016/j.compag.2020.105883</a>","PeerRev":1},{"BRefID":337222,"RR":"<b>Wang, G.; Van Stappen, G.; De Baets, B.</b> (2021). Automated detection and counting of <i>Artemia</i> using U-shaped fully convolutional networks and deep convolutional networks. <i>Exp. Syst. Appl. 171</i>: 114562. <a href=\"https://hdl.handle.net/10.1016/j.eswa.2021.114562\" target=\"_blank\">https://hdl.handle.net/10.1016/j.eswa.2021.114562</a>","PeerRev":1},{"BRefID":329309,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2020). Spatio-temporal variability of oceanographic conditions in the Exclusive Economic Zone of Cuba. <i>J. Mar. Syst. 212</i>: 103416. <a href=\"https://dx.doi.org/10.1016/j.jmarsys.2020.103416\" target=\"_blank\">https://dx.doi.org/10.1016/j.jmarsys.2020.103416</a>","PeerRev":1},{"BRefID":322650,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2020). Oceanic response to Hurricane Irma (2017) in the Exclusive Economic Zone of Cuba and the eastern Gulf of Mexico. <i>Ocean Dynamics 70(5)</i>: 603-619. <a href=\"https://dx.doi.org/10.1007/s10236-020-01350-y\" target=\"_blank\">https://dx.doi.org/10.1007/s10236-020-01350-y</a>","PeerRev":1},{"BRefID":321078,"RR":"<b>García-Timermans, C.; Rubbens, P.; Heyse, J.; Kerckhof, F.-M.; Props, R.; Skirtach, A.G.; Waegeman, W.; Boon, N.</b> (2020). Discriminating bacterial phenotypes at the population and single‐cell level: a comparison of flow cytometry and Raman spectroscopy fingerprinting. <i>Cytometry A 97(7)</i>: 713-726. <a href=\"https://dx.doi.org/10.1002/cyto.a.23952\" target=\"_blank\">https://dx.doi.org/10.1002/cyto.a.23952</a>","PeerRev":1},{"BRefID":324685,"RR":"<b>Papagiannopoulou, C.; Parchen, R.; Rubbens, P.; Waegeman, W.</b> (2020). Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods. <i>Anal. Chem. 92(11)</i>: 7523-7531. <a href=\"https://dx.doi.org/10.1021/acs.analchem.9b05806\" target=\"_blank\">https://dx.doi.org/10.1021/acs.analchem.9b05806</a>","PeerRev":1},{"BRefID":337967,"RR":"<b>Sader, M.; Pérez-Fernández, R.; Kuuliala, L.; Devlieghere, F.; De Baets, B.</b> (2020). The constrained median: a way to incorporate side information in the assessment of food samples. <i>Mathematics 8(3)</i>: 406. <a href=\"https://hdl.handle.net/10.3390/math8030406\" target=\"_blank\">https://hdl.handle.net/10.3390/math8030406</a>","PeerRev":1},{"BRefID":338046,"RR":"<b>Wang, G.; Van Stappen, G.; De Baets, B.</b> (2020). Automated <i>Artemia</i> length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. <i>Comput. Electron. Agric. 168</i>: 105102. <a href=\"https://hdl.handle.net/10.1016/j.compag.2019.105102\" target=\"_blank\">https://hdl.handle.net/10.1016/j.compag.2019.105102</a>","PeerRev":1},{"BRefID":322874,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2019). The impact of hurricanes on the oceanographic conditions in the Exclusive Economic Zone of Cuba. <i>Remote Sens. Environ. 233</i>: 111339. <a href=\"https://dx.doi.org/10.1016/j.rse.2019.111339\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2019.111339</a>","PeerRev":1},{"BRefID":321900,"RR":"<b>Heyse, J.; Buysschaert, B.; Props, R.; Rubbens, P.; Skirtach, A.G.; Waegeman, W.; Boon, N.</b> (2019). Coculturing bacteria leads to reduced phenotypic heterogeneities. <i>Appl. Environ. Microbiol. 85(8)</i>: e02814-18. <a href=\"https://dx.doi.org/10.1128/aem.02814-18\" target=\"_blank\">https://dx.doi.org/10.1128/aem.02814-18</a>","PeerRev":1},{"BRefID":323014,"RR":"<b>Kuuliala, L.; Sader, M.; Solimeo, A.; Pérez-Fernández, R.; Vanderroost, M.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F.</b> (2019). Spoilage evaluation of raw Atlantic salmon (<i>Salmo salar</i>) stored under modified atmospheres by multivariate statistics and augmented ordinal regression. <i>Intern. J. Food Microbiol. 303</i>: 46-57. <a href=\"https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011\" target=\"_blank\">https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011</a>","PeerRev":1},{"BRefID":321915,"RR":"<b>Nguyen, B.; Rubbens, P.; Kerckhof, F.-M.; Boon, N.; De Baets, B.; Waegeman, W.</b> (2019). Learning single‐cell distances from cytometry data. <i>Cytometry A 95(7)</i>: 782-791. <a href=\"https://dx.doi.org/10.1002/cyto.a.23792\" target=\"_blank\">https://dx.doi.org/10.1002/cyto.a.23792</a>","PeerRev":1},{"BRefID":321916,"RR":"<b>Rubbens, P.; Schmidt, M.L.; Props, R.; Biddanda, B.A.; Boon, N.; Waegeman, W.; Denef, V.J.</b> (2019). Randomized Lasso links microbial taxa with aquatic functional groups inferred from flow cytometry. <i>mSystems 4(5)</i>: e00093-19. <a href=\"https://dx.doi.org/10.1128/msystems.00093-19\" target=\"_blank\">https://dx.doi.org/10.1128/msystems.00093-19</a>","PeerRev":1},{"BRefID":321914,"RR":"<b>García-Timermans, C.; Rubbens, P.; Kerckhof, F.-M.; Buysschaert, B.; Khalenkow, D.; Waegeman, W.; Skirtach, A.G.; Boon, N.</b> (2018). Label-free Raman characterization of bacteria calls for standardized procedures. <i>J. microbiol. methods 151</i>: 69-75. <a href=\"https://dx.doi.org/10.1016/j.mimet.2018.05.027\" target=\"_blank\">https://dx.doi.org/10.1016/j.mimet.2018.05.027</a>","PeerRev":1},{"BRefID":293578,"RR":"<b>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.</b> (2018). Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (<i>Gadus morhua</i>) stored under modified atmospheres. <i>Food Microbiol. 70</i>: 232-244. <a href=\"https://dx.doi.org/10.1016/j.fm.2017.10.011\" target=\"_blank\">https://dx.doi.org/10.1016/j.fm.2017.10.011</a>","PeerRev":1},{"BRefID":321911,"RR":"<b>Props, R.; Rubbens, P.; Besmer, M.; Buysschaert, B.; Sigrist, J.; Weilenmann, H.; Waegeman, W.; Boon, N.; Hammes, F.</b> (2018). Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data. <i>Wat. Res. 145</i>: 73-82. <a href=\"https://dx.doi.org/10.1016/j.watres.2018.08.013\" target=\"_blank\">https://dx.doi.org/10.1016/j.watres.2018.08.013</a>","PeerRev":1},{"BRefID":295631,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2017). Assessing the effects of ultraviolet radiation on the photosynthetic potential in Archean marine environments. <i>International Journal of Astrobiology 16(3)</i>: 271-279. <a href=\"https://dx.doi.org/10.1017/S147355041600032X\" target=\"_blank\">https://dx.doi.org/10.1017/S147355041600032X</a>","PeerRev":1},{"BRefID":295742,"RR":"<b>Avila-Alonso, D.; Baetens, J.M.; Cardenas, R.; De Baets, B.</b> (2017). Modeling the effect of ultraviolet radiation on the photosynthetic potential of <i>Prochlorococcus</i> and <i>Synechococcus</i> cyanobacteria. <i>Aquat. Microb. 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