Automated color detection in orchids using color labels and deep learning von Apriyanti, Diah Harnoni, Spreeuwers, Luuk J, Lucas, Peter J F, Veldhuis, Raymond N J

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Multilevel temporal Bayesian networks can model longitudinal change in multimorbidity von Lappenschaar, Martijn, Hommersom, Arjen, Lucas, Peter J.F, Lagro, Joep, Visscher, Stefan, Korevaar, Joke C, Schellevis, François G

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Real-life management of primary immune thrombocytopenia (ITP) in adult patients and adherence to practice guidelines von Lozano, María Luisa, Revilla, N., Gonzalez-Lopez, T. J., Novelli, S., González-Porras, J. R., Sánchez-Gonzalez, B., Bermejo, N., Pérez, S., Lucas, F. J., Álvarez, M. T., Arilla, M. J., Perera, M., do Nascimento, J., Campos, R. M., Casado, L. F., Vicente, V.

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External validation study of endometrial cancer preoperative risk stratification model (ENDORISK) von Vinklerová, Petra, Ovesná, Petra, Hausnerová, Jitka, Pijnenborg, Johanna M. A., Lucas, Peter J. F., Reijnen, Casper, Vrede, Stephanie, Weinberger, Vít

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Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series von Grube, Marcel, Reijnen, Casper, Lucas, Peter J. F., Kommoss, Frieder, Kommoss, Felix K. F., Brucker, Sara Y., Walter, Christina B., Oberlechner, Ernst, Krämer, Bernhard, Andress, Jürgen, Neis, Felix, Staebler, Annette, Pijnenborg, Johanna M. A., Kommoss, Stefan

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Quality indicators in radiation oncology: proposal of the Spanish Society of Radiation Oncology (SEOR) for a continuous improvement of the quality of care in oncology von López Torrecilla, J., Marín i Borràs, S., Ruiz-Alonso, A., Jaen Olasolo, J., Vázquez de la Torre, M. L., Bóveda Carro, E., Rodríguez, A., Ignacio García, E., Caballero Martínez, F., Campos Lucas, F. J., Lara Jiménez, P. C., Martínez, J. Contreras, Ferrer Albiach, C.

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Learning Bayesian networks for clinical time series analysis von van der Heijden, Maarten, Velikova, Marina, Lucas, Peter J.F.

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Improved mammographic CAD performance using multi-view information: a Bayesian network framework von Velikova, Marina, Samulski, Maurice, Lucas, Peter J F, Karssemeijer, Nico

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From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer von Bernasconi, Alice, Zanga, Alessio, Lucas, Peter J F, Scutari, Marco, Di Cosimo, Serena, De Santis, Maria Carmen, La Rocca, Eliana, Baili, Paolo, Cavallo, Ilaria, Verderio, Paolo, Ciniselli, Chiara M, Pizzamiglio, Sara, Blanda, Adriana, Perego, Paola, Vallerio, Paola, Stella, Fabio, Trama, Annalisa, The Ada Working Group

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On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks von Velikova, Marina, Lucas, Peter J.F, Samulski, Maurice, Karssemeijer, Nico

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Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks von Amirkhani, Hossein, Rahmati, Mohammad, Lucas, Peter J. F., Hommersom, Arjen

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Effects of systemic antibiotic therapy on bacterial persistence in the respiratory tract of mechanically ventilated patients von Visscher, Stefan, Schurink, Carolina A. M., Melsen, Wilhelmina G., Lucas, Peter J. F., Bonten, Marc J. M.

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Multilevel Bayesian networks for the analysis of hierarchical health care data von Lappenschaar, Martijn, Hommersom, Arjen, Lucas, Peter J.F, Lagro, Joep, Visscher, Stefan

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Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study von Reijnen, Casper, Gogou, Evangelia, Visser, Nicole C M, Engerud, Hilde, Ramjith, Jordache, van der Putten, Louis J M, van de Vijver, Koen, Santacana, Maria, Bronsert, Peter, Bulten, Johan, Hirschfeld, Marc, Colas, Eva, Gil-Moreno, Antonio, Reques, Armando, Mancebo, Gemma, Krakstad, Camilla, Trovik, Jone, Haldorsen, Ingfrid S, Huvila, Jutta, Koskas, Martin, Weinberger, Vit, Bednarikova, Marketa, Hausnerova, Jitka, van der Wurff, Anneke A M, Matias-Guiu, Xavier, Amant, Frederic, Massuger, Leon F A G, Snijders, Marc P L M, Küsters-Vandevelde, Heidi V N, Lucas, Peter J F, Pijnenborg, Johanna M A

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Constraint-based probabilistic learning of metabolic pathways from tomato volatiles von Gavai, Anand K, Tikunov, Yury, Ursem, Remco, Bovy, Arnaud, van Eeuwijk, Fred, Nijveen, Harm, Lucas, Peter J. F, Leunissen, Jack A. M

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Bayesian network modelling through qualitative patterns von Lucas, Peter J.F.

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Describing disease processes using a probabilistic logic of qualitative time von van der Heijden, Maarten, Lucas, Peter J.F

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Understanding disease processes by partitioned dynamic Bayesian networks von Bueno, Marcos L.P., Hommersom, Arjen, Lucas, Peter J.F., Lappenschaar, Martijn, Janzing, Joost G.E.

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Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks von Lucas, Peter J. F., Hommersom, Arjen

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Predicting pathogens causing ventilator-associated pneumonia using a Bayesian network model von Visscher, Stefan, Kruisheer, Elize M., Schurink, Carolina A. M., Lucas, Peter J. F., Bonten, Marc J. M.

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