Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials von Alaeikhanehshir, Sena, Voets, Madelon M, van Duijnhoven, Frederieke H, Lips, Esther H, Groen, Emma J, van Oirsouw, Marja C J, Hwang, Shelley E, Lo, Joseph Y, Wesseling, Jelle, Mann, Ritse M, Teuwen, Jonas

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Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah von Voets, Madelon M., Veltman, Jeroen, Slump, Cornelis H., Siesling, Sabine, Koffijberg, Hendrik

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Diagnostics in Patients Suspect for Breast Cancer in The Netherlands von Voets, Madelon M, Groothuis-Oudshoorn, Catharina G M, Veneklaas, Liset H J, Manohar, Srirang, Brinkhuis, Mariël, Veltman, Jeroen, de Munck, Linda, de Geus-Oei, Lioe-Fee, Broeders, Mireille J M, Siesling, Sabine

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Opportunities for personalised follow-up in breast cancer: the gap between daily practice and recurrence risk von Voets, Madelon M., Hassink, Noa S., Veltman, Jeroen, Slump, Cornelis H., Koffijberg, Hendrik, Siesling, Sabine

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The effect of prior hysterosalpingo-foam sonography or hysterosalpingography on tubal patency: a secondary analysis of a randomized controlled trial von Kamphuis, Danah, van Welie, Nienke, van Rijswijk, Joukje, van Hooff, Marcel H A, de Bruin, Jan-Peter, Verhoeve, Harold R, Mol, Femke, van Baal, Wilhelmina M, Lambalk, Cornelis B, Stoker, Jaap, van Wely, Madelon, Bossuyt, Patrick M M, Mol, Ben Willem J, Dreyer, Kim, Mijatovic, Velja

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