Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks by Debats, Oscar A, Litjens, Geert J S, Huisman, Henkjan J

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Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients by Debats, Oscar A., Meijs, Midas, Litjens, Geert J. S., Huisman, Henkjan J.

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Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol by Debats, Oscar A, Fortuin, Ansje S, Meijer, Hanneke J M, Hambrock, Thomas, Litjens, Geert J S, Barentsz, Jelle O, Huisman, Henkjan J

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Predictive value of MRI in the localization, staging, volume estimation, assessment of aggressiveness, and guidance of radiotherapy and biopsies in prostate cancer by Yakar, Derya, Debats, Oscar A., Bomers, Joyce G.R., Schouten, Martijn G., Vos, Pieter C., van Lin, Emile, Fütterer, Jurgen J., Barentsz, Jelle O.

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Geographical distribution of lymph node metastases on MR lymphography in prostate cancer patients by Meijer, Hanneke J.M, Fortuin, Ansje S, van Lin, Emile N.J.T, Debats, Oscar A, Alfred Witjes, J, Kaanders, Johannes H.A.M, Barentsz, Jelle O

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Corrigendum to “Geographical distribution of lymph node metastases on MR lymphography in prostate cancer patients” [Radiother Oncol 106 (2013) 59–63] by Meijer, Hanneke J.M, Fortuin, Ansje S, van Lin, Emile N.J.T, Debats, Oscar A, Witjes, J. Alfred, Kaanders, Johannes H.A.M, Barentsz, Jelle O

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A retrospective analysis of the prognosis of prostate cancer patients with lymph node involvement on MR lymphography: who might be cured by Meijer, Hanneke J M, Debats, Oscar A, van Lin, Emile N J Th, Witjes, Johannes Alfred, Kaanders, Johannes H A M, Barentsz, Jelle O

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Computer-Aided Detection of Prostate Cancer in MRI by Litjens, Geert, Debats, Oscar, Barentsz, Jelle, Karssemeijer, Nico, Huisman, Henkjan

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