Martijn Intven

Fast synthetic CT generation with deep learning for general pelvis MR-only Radiotherapy

M. Maspero, Mark H. F. Savenije, Anna M. Dinkla, 2018 .

Feasibility of stereotactic radiotherapy using a 1.5 T MR-linac: Multi-fraction treatment of pelvic lymph node oligometastases.

Rob H.N. Tijssen, Jan J.W. Lagendijk, Charis Kontaxis, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Diffusion-weighted MRI for Early Prediction of Treatment Response on Preoperative Chemoradiotherapy for Patients With Locally Advanced Rectal Cancer: A Feasibility Study

M. Los, M. Philippens, L. Jacobs, 2016, Annals of surgery.

Dynamic contrast enhanced MR imaging for rectal cancer response assessment after neo‐adjuvant chemoradiation

M. Philippens, O. Reerink, M. Intven, 2015, Journal of magnetic resonance imaging : JMRI.

Target volume delineation variation in radiotherapy for early stage rectal cancer in the Netherlands.

Jasper Nijkamp, Marcel B van Herk, Yvette van der Linden, 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Statistical modeling of CTV motion and deformation for IMRT of early-stage rectal cancer.

Luiza Bondar, Enrica Seravalli, Bram van Asselen, 2014, International journal of radiation oncology, biology, physics.

Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics.

Olivier Gevaert, Philippe Bulens, Karin Haustermans, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.