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Acta Radiologica (Stockholm, Sweden : 1987)|September 25, 2020
Magnetic resonance assessment of sinusoidal obstruction syndrome after neoadjuvant chemotherapy for colorectal liver metastases is not reproducibleFemke Cr Staal, Regina Gh Beets-Tan, Birthe C Heeres, et al.
European Radiology|July 11, 2012
T2 weighted signal intensity evolution may predict pathological complete response after treatment for rectal cancerEwelina Kluza, Esther D Rozeboom, Monique Maas, et al.
Abdominal Radiology (New York)|January 5, 2017
Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters?Rebecca A P Dijkhoff, Monique Maas, Milou H Martens, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|March 7, 2017
Contrast Media Administration in Coronary Computed Tomography Angiography - A Systematic ReviewCasper Mihl, Monique Maas, Jakub Turek, et al.
European Journal of Cancer (Oxford, England : 1990)|June 14, 2011
Whole-body diffusion-weighted magnetic resonance imaging: current evidence in oncology and potential role in colorectal cancer stagingDoenja M J Lambregts, Monique Maas, Vincent C Cappendijk, et al.
Diseases of the Colon and Rectum|November 10, 2011
Long-term follow-up features on rectal MRI during a wait-and-see approach after a clinical complete response in patients with rectal cancer treated with chemoradiotherapyDoenja M J Lambregts, Monique Maas, Frans C H Bakers, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|September 29, 2021
The sigmoid take-off as a landmark to distinguish rectal from sigmoid tumours on MRI: Reproducibility, pitfalls and potential impact on treatment stratificationNino Bogveradze, Doenja M J Lambregts, Najim El Khababi, et al.
NPJ Precision Oncology|January 22, 2024
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre studyLishan Cai, Doenja M J Lambregts, Geerard L Beets, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 7, 2011
What is the most accurate whole-body imaging modality for assessment of local and distant recurrent disease in colorectal cancer? A meta-analysis : imaging for recurrent colorectal cancerMonique Maas, Iris J G Rutten, Patty J Nelemans, et al.
Surgical Endoscopy|October 13, 2021
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiationHester E Haak, Xinpei Gao, Monique Maas, et al.
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