Imperial College London


Faculty of EngineeringDepartment of Computing

Research Associate in Biomedical Image Analysis



m.menten Website




344Huxley BuildingSouth Kensington Campus





Dr Martin Menten recently joined the BioMedIA group as a postdoctoral researcher. Working together with Professor Daniel Rueckert, he is exploring the use of deep learning to advance the understanding and diagnosis of age-related macular degeneration, the leading cause of blindness in the elderly.

Previously, he received his PhD in physics from the Institute of Cancer Research in 2018. In the team of Professor Uwe Oelfke, he researched strategies to adapt external beam radiotherapy to anatomical changes in real-time in order to increase cure rates and reduce side effects of cancer treatments.



Eiben B, Bertholet J, Menten MJ, et al., 2020, Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the XCAT phantom., Phys Med Biol

Menten MJ, Mohajer JK, Nilawar R, et al., 2020, Automatic reconstruction of the delivered dose of the day using MR-linac treatment log files and online MR imaging, Radiotherapy and Oncology, Vol:145, ISSN:0167-8140, Pages:88-94

Bertholet J, Knopf A, Eiben B, et al., 2019, Real-time intrafraction motion monitoring in external beam radiotherapy, Physics in Medicine and Biology, Vol:64, ISSN:0031-9155, Pages:15TR01-15TR01

Menten MJ, Fast MF, Wetscherek A, et al., 2018, The impact of 2D cine MR imaging parameters on automated tumor and organ localization for MR-guided real-time adaptive radiotherapy, Physics in Medicine and Biology, Vol:63, ISSN:0031-9155, Pages:1-16


Costa F, Menten MJ, Doran S, et al., 2019, Dose verification of dynamic MLC-tracked radiotherapy using small PRESAGE (R) 3D dosimeters and a motion phantom, 10th International Conference on 3D Radiation Dosimetry (IC3DDose), IOP PUBLISHING LTD, ISSN:1742-6588

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