High-temperature liquid chromatography-isotope ratio mass spectrometry methodology for carbon isotope ratio determination of anabolic steroids in urine von Honesova, Lenka, Viaene, Wouter, Van Eenoo, Peter, Polet, Michaël

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Validation of an ultra-sensitive detection method for steroid esters in plasma for doping analysis using positive chemical ionization GC-MS/MS von Van Renterghem, Pieter, Viaene, Wouter, Van Gansbeke, Wim, Barrabin, Juliana, Iannone, Michele, Polet, Michael, T'Sjoen, Guy, Deventer, Koen, Van Eenoo, Peter

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Predicting outcomes of acute kidney injury in critically ill patients using machine learning von Nateghi Haredasht, Fateme, Viaene, Liesbeth, Pottel, Hans, De Corte, Wouter, Vens, Celine

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Morphology-assisted galaxy mass-to-light predictions using deep learning von Dobbels, Wouter, Krier, Serge, Pirson, Stephan, Viaene, Sébastien, De Geyter, Gert, Salim, Samir, Baes, Maarten

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The first maps of κd – the dust mass absorption coefficient – in nearby galaxies, with DustPedia von Clark, C J R, De Vis, P, Baes, M, Bianchi, S, Casasola, V, Cassarà, L P, Davies, J I, Dobbels, W, Lianou, S, De Looze, I, Evans, R, Galametz, M, Galliano, F, Jones, A P, Madden, S C, Mosenkov, A V, Verstocken, S, Viaene, S, Xilouris, E M, Ysard, N

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Validated risk prediction models for outcomes of acute kidney injury: a systematic review von Haredasht, Fateme Nateghi, Vanhoutte, Laban, Vens, Celine, Pottel, Hans, Viaene, Liesbeth, De Corte, Wouter

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Reproducing the Universe: a comparison between the EAGLE simulations and the nearby DustPedia galaxy sample von Trčka, Ana, Baes, Maarten, Camps, Peter, Meidt, Sharon E, Trayford, James, Bianchi, Simone, Casasola, Viviana, Cassarà, Letizia P, De Looze, Ilse, De Vis, Pieter, Dobbels, Wouter, Fritz, Jacopo, Galametz, Maud, Galliano, Frédéric, Katsianis, Antonios, Madden, Suzanne C, Mosenkov, Aleksandr V, Nersesian, Angelos, Viaene, Sébastien, Xilouris, Emmanuel M

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High-resolution, 3D radiative transfer modelling: III. The DustPedia barred galaxies von Nersesian, Angelos, Verstocken, Sam, Viaene, Sébastien, Baes, Maarten, Xilouris, Emmanuel M., Bianchi, Simone, Casasola, Viviana, Clark, Christopher J. R., Davies, Jonathan I., De Looze, Ilse, De Vis, Pieter, Dobbels, Wouter, Fritz, Jacopo, Galametz, Maud, Galliano, Frédéric, Jones, Anthony P., Madden, Suzanne C., Mosenkov, Aleksandr V., Trčka, Ana, Ysard, Nathalie

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Recent versus chronic exposure to particulate matter air pollution in association with neurobehavioral performance in a panel study of primary schoolchildren von Saenen, Nelly D., Provost, Eline B., Viaene, Mineke K., Vanpoucke, Charlotte, Lefebvre, Wouter, Vrijens, Karen, Roels, Harry A., Nawrot, Tim S.

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High-resolution, 3D radiative transfer modelling: II. The early-type spiral galaxy M 81 von Verstocken, Sam, Nersesian, Angelos, Baes, Maarten, Viaene, Sébastien, Bianchi, Simone, Casasola, Viviana, Clark, Christopher J. R., Davies, Jonathan I., De Looze, Ilse, De Vis, Pieter, Dobbels, Wouter, Galliano, Frédéric, Jones, Anthony P., Madden, Suzanne C., Mosenkov, Aleksandr V., Trčka, Ana, Xilouris, Emmanuel M.

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Predicting outcomes of acute kidney injury in critically ill patients using machine learning von Nateghi Haredasht, Fateme, Viaene, Liesbeth, Pottel, Hans, De Corte, Wouter, Vens, Celine

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Nonparametric galaxy morphology from UV to submm wavelengths von Baes, Maarten, Nersesian, Angelos, Casasola, Viviana, Bianchi, Simone, Cassarà, Letizia P., Clark, Christopher J. R., De Looze, Ilse, Dobbels, Wouter, Fritz, Jacopo, Galametz, Maud, Galliano, Frédéric, Madden, Suzanne C., Mosenkov, Aleksandr V., Viaene, Sébastien, Trčka, Ana, Xilouris, Emmanuel M.

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High-resolution, 3D radiative transfer modelling: V. A detailed model of the M 51 interacting pair von Nersesian, Angelos, Viaene, Sébastien, De Looze, Ilse, Baes, Maarten, Xilouris, Emmanuel M., Smith, Matthew W. L., Bianchi, Simone, Casasola, Viviana, Cassarà, Letizia P., Clark, Christopher J. R., Dobbels, Wouter, Fritz, Jacopo, Galliano, Frédéric, Madden, Suzanne C., Mosenkov, Aleksandr V., Trčka, Ana

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Validated risk prediction models for outcomes of acute kidney injury: a systematic review von Haredasht, Fateme Nateghi, Vanhoutte, Laban, Vens, Celine, Pottel, Hans, Viaene, Liesbeth, De Corte, Wouter

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Morphology-assisted galaxy mass-to-light predictions using deep learning von Dobbels, Wouter, Krier, S, Pirson, S, Viaene, Sébastien, De Geyter, Gert, Salim, S, Baes, Maarten

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Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU von Nateghi Haredasht, Fateme, Viaene, Liesbeth, Vens, Celine, Callewaert, Nico, De Corte, Wouter, Pottel, Hans

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Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU von Nateghi Haredasht, Fateme, Viaene, Liesbeth, Vens, Celine, Callewaert, Nico, De Corte, Wouter, Pottel, Hans

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High-resolution, 3D radiative transfer modelling von Nersesian, Angelos, Viaene, Sébastien, De Looze, Ilse, Baes, Maarten, Xilouris, Emmanuel M, Smith, Matthew W L, Bianchi, Simone, Casasola, Viviana, Cassarà, Letizia P, Clark, Christopher J R, Dobbels, Wouter, Fritz, Jacopo, Galliano, Frédéric, Madden, Suzanne C, Mosenkov, Aleksandr V, Trčka, Ana

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Predicting the global far-infrared SED of galaxies via machine learning techniques von Dobbels, Wouter, Baes, Maarten, Viaene, Sébastien, Bianchi, S, Davies, J. I, Casasola, V, Clark, C. J. R, Fritz, J, Galametz, M, Galliano, F, Mosenkov, A, Nersesian, Angelos, Trčka, Ana

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Nonparametric galaxy morphology from UV to submm wavelengths von Baes, Maarten, Nersesian, Angelos, Casasola, Viviana, Bianchi, Simone, Cassarà, Letizia P, Clark, Christopher J. R, De Looze, Ilse, Dobbels, Wouter, Fritz, Jacopo, Galametz, Maud, Galliano, Frédéric, Madden, Suzanne C, Mosenkov, Aleksandr V, Viaene, Sébastien, Trčka, Ana, Xilouris, Emmanuel M

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