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  • Monique Maas
Showing 1 - 3 results of 3 for search 'Monique Maas', query time: 0.02s Refine Results
  1. 1
    An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

    An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study by Lishan Cai, Doenja M. J. Lambregts, Geerard L. Beets, Monique Maas, Eduardo H. P. Pooch, Corentin Guérendel, Regina G. H. Beets-Tan, Sean Benson

    Published 2024-01-01
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  2. 2
    Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

    Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study by Lishan Cai, Doenja M. J. Lambregts, Geerard L. Beets, Monique Maas, Eduardo H. P. Pooch, Corentin Guérendel, Regina G. H. Beets-Tan, Sean Benson

    Published 2025-02-01
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  3. 3
    Optimisation of Organ Preservation treatment strategies in patients with rectal cancer with a good clinical response after neoadjuvant (chemo)radiotherapy: Additional contact X-ray brachytherapy versus eXtending the observation period and local excision (OPAXX) — protocol for two multicentre, parallel, single-arm, phase II studies

    Optimisation of Organ Preservation treatment strategies in patients with rectal cancer with a good clinical response after neoadjuvant (chemo)radiotherapy: Additional contact X-ray... by Jacobus W A Burger, Geerard L Beets, Corrie A M Marijnen, Femke P Peters, Brechtje A Grotenhuis, Jeltsje S Cnossen, Monique Maas, Barbara M Geubels, Baukelien van Triest, Petra A Custers, Harm J T Rutten, Jaqueline C M Theuws, An-Sofie E Verrijssen

    Published 2023-12-01
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