M. Florkow

Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

M. Viergever, H. Weinans, F. Zijlstra, 2019, Magnetic resonance in medicine.

Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based 3D convolutional neural network.

Frank Zijlstra, Peter R Seevinck, Marijn van Stralen, 2019, Medical physics.

Deep learning-enabled MRI-only photon and proton therapy treatment planning for paediatric abdominal tumours.

B. Raaymakers, F. Zijlstra, P. Seevinck, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

P52 ESTIMATING CENTRAL BLOOD PRESSURE FROM MRI DATA USING REDUCED-ORDER COMPUTATIONAL MODELS

René M. Botnar, Arna van Engelen, Jorge Mariscal Harana, 2018 .

Non-invasive, MRI-based estimation of patient-specific aortic blood pressure using one-dimensional blood flow modelling

Arna van Engelen, Jorge Mariscal Harana, S. Sherwin, 2017 .

Magnetic Resonance Imaging Versus Computed Tomography for Three‐Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review

P. Seevinck, M. van Stralen, M. Florkow, 2022, Journal of magnetic resonance imaging : JMRI.

Synthetic CT for the planning of MR-HIFU treatment of bone metastases in pelvic and femoral bones: a feasibility study

D. J. Slotman, M. Viergever, C. Moonen, 2022, European Radiology.

MRI‐based synthetic CT shows equivalence to conventional CT for the morphological assessment of the hip joint

M. Viergever, H. Weinans, F. Zijlstra, 2021, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Estimating central blood pressure from aortic flow: development and assessment of algorithms

S. Sherwin, T. Schneider, P. Chowienczyk, 2020, American journal of physiology. Heart and circulatory physiology.

Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns

M. E. Biancolini, M. Biancolini, S. Avril, 2023, Frontiers in Physiology.

An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters

René M. Botnar, Arna van Engelen, Jordi Alastruey, 2016, MIUA.