Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUS... von Van den Bosch, T., Dueholm, M., Leone, F. P. G., Valentin, L., Rasmussen, C. K., Votino, A., Van Schoubroeck, D., Landolfo, C., Installé, A. J. F., Guerriero, S., Exacoustos, C., Gordts, S., Benacerraf, B., D'Hooghe, T., De Moor, B., Brölmann, H., Goldstein, S., Epstein, E., Bourne, T., Timmerman, D.

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HE4 and CA125 as a diagnostic test in ovarian cancer: prospective validation of the Risk of Ovarian Malignancy Algorithm von Van Gorp, T, Cadron, I, Despierre, E, Daemen, A, Leunen, K, Amant, F, Timmerman, D, De Moor, B, Vergote, I

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BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis von Durinck, Steffen, Moreau, Yves, Kasprzyk, Arek, Davis, Sean, De Moor, Bart, Brazma, Alvis, Huber, Wolfgang

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First‐trimester intrauterine hematoma and pregnancy complications von Al‐Memar, M., Vaulet, T., Fourie, H., Bobdiwala, S., Farren, J., Saso, S., Bracewell‐Milnes, T., Moor, B. De, Sur, S., Stalder, C., Bennett, P., Timmerman, D., Bourne, T.

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Early‐pregnancy events and subsequent antenatal, delivery and neonatal outcomes: prospective cohort study von Al‐Memar, M., Vaulet, T., Fourie, H., Nikolic, G., Bobdiwala, S., Saso, S., Farren, J., Pipi, M., Van Calster, B., Moor, B., Stalder, C., Bennett, P., Timmerman, D., Bourne, T.

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Handling missing values in support vector machine classifiers von Pelckmans, K., De Brabanter, J., Suykens, J.A.K., De Moor, B.

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Optimal control by least squares support vector machines von Suykens, J.A.K., Vandewalle, J., De Moor, B.

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Financial time series prediction using least squares support vector machines within the evidence framework von Van Gestel, T., Suykens, J.A.K., Baestaens, D.-E., Lambrechts, A., Lanckriet, G., Vandaele, B., De Moor, B., Vandewalle, J.

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TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis von Aerts, Stein, Van Loo, Peter, Thijs, Gert, Mayer, Herbert, de Martin, Rainer, Moreau, Yves, De Moor, Bart

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Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs von Smeets, A., Daemen, A., Vanden Bempt, I., Gevaert, O., Claes, B., Wildiers, H., Drijkoningen, R., Van Hummelen, P., Lambrechts, D., De Moor, B., Neven, P., Sotiriou, C., Vandorpe, T., Paridaens, R., Christiaens, M. R.

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Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis von Gestel, T. Van, Suykens, J. A. K., Lanckriet, G., Lambrechts, A., Moor, B. De, Vandewalle, J.

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OP03.02: Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumours: a systematic scoping review and meta‐analysis von Garofalo, G., Geysels, A., Timmerman, S., Barreñada, L., De Moor, B., Timmerman, D., Froyman, W., Van Calster, B.

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A FULLY AUTOMATED PIPELINE FOR CLASSIFICATION TASKS WITH AN APPLICATION TO REMOTE SENSING von Suzuki, K., Claesen, M., Takeda, H., De Moor, B.

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Coxsackievirus B1 peritonitis in a patient treated with continuous ambulatory peritoneal dialysis: a case report and brief review of the literature von Pauwels, S., Moor, B. De, Stas, K., Magerman, K., Gyssens, I.C., Ranst, M. Van, Cartuyvels, R.

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Ultrasound characteristics of endometrial cancer as defined by International Endometrial Tumor Analysis (IETA) consensus nomenclature: prospective multicenter study von Epstein, E., Fischerova, D., Valentin, L., Testa, A. C., Franchi, D., Sladkevicius, P., Frühauf, F., Lindqvist, P. G., Mascilini, F., Fruscio, R., Haak, L. A., Opolskiene, G., Pascual, M. A., Alcazar, J. L., Chiappa, V., Guerriero, S., Carlson, J. W., Van Holsbeke, C., Giuseppe Leone, F. P., De Moor, B., Bourne, T., van Calster, B., Installe, A., Timmerman, D., Verbakel, J. Y., Van den Bosch, T.

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OC05.03: Deep learning‐enabled ovarian cancer detection with ADNEX‐AI: a prospective, multicentre study von Geysels, A., Garofalo, G., Timmerman, S., Ceusters, J., Fischerová, D., Testa, A.C., Moro, F., Buonomo, F., Valentin, L., Sladkevicius, P., Van Holsbeke, C., Kudla, M.J., Czekierdowski, A., Epstein, E., Groszmann, Y., Blaschko, M., De Moor, B., Van Calster, B., Timmerman, D., Froyman, W.

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International Endometrial Tumor Analysis (IETA) terminology in women with postmenopausal bleeding and sonographic endometrial thickness ≥ 4.5 mm: agreement and reliability study... von Sladkevicius, P., Installé, A., Van Den Bosch, T., Timmerman, D., Benacerraf, B., Jokubkiene, L., Di Legge, A., Votino, A., Zannoni, L., De Moor, B., De Cock, B., Van Calster, B., Valentin, L.

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Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of publ... von Menten, B, Maas, N, Thienpont, B, Buysse, K, Vandesompele, J, Melotte, C, de Ravel, T, Van Vooren, S, Balikova, I, Backx, L, Janssens, S, De Paepe, A, De Moor, B, Moreau, Y, Marynen, P, Fryns, J-P, Mortier, G, Devriendt, K, Speleman, F, Vermeesch, J R

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Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series von Espinoza, M., Joye, C., Belmans, R., De Moor, B.

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Assessing computational tools for the discovery of transcription factor binding sites von Eskin, Eleazar, Ye, Chun, Mironov, Andrei A, Fu, Yutao, Favorov, Alexander V, Pavesi, Giulio, Li, Nan, Pesole, Graziano, Vandenbogaert, Mathias, Noble, William Stafford, Weng, Zhiping, Régnier, Mireille, Sinha, Saurabh, Makeev, Vsevolod J, Kent, W James, De Moor, Bart, Simonis, Nicolas, Zhu, Zhou, Thijs, Gert, Bailey, Timothy L, Frith, Martin C, Workman, Christopher, Church, George M, Tompa, Martin, van Helden, Jacques

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