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M.C. Florkow MSc

PHD Candidate - OIO
M.C. Florkow MSc
  • Image Sciences Institute

Biography

Biography

Mateusz Florkow obtained in 2017 an Engineering Diploma from Ecole Centrale de Lyon and an MSc in Biomedical Engineering majoring Neurosciences from Imperial College London. His master thesis focused on Reinforcement learning and its application on Twitter to study social behaviours on the social network.

In October 2017, Mateusz started his PhD at the Image Sciences Institute at the University Medical Center Utrecht. His main research topic involves bone visualization and characterization using MRI.

Research Output (6)

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

Florkow Mateusz C, Guerreiro Filipa, Zijlstra Frank, Seravalli Enrica, Janssens Geert O, Maduro John H, Knopf Antje C, Castelein René M, van Stralen Marijn, Raaymakers Bas W, Seevinck Peter R 7 okt 2020, In: Radiotherapy & Oncology. 153 , p. 220-227 8 p.

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

Florkow Mateusz C, Zijlstra Frank, Willemsen Koen, Maspero Matteo, van den Berg Cornelis A T, Kerkmeijer Linda G W, Castelein René M, Weinans Harrie, Viergever Max A, van Stralen Marijn, Seevinck Peter R apr 2020, In: Magnetic Resonance in Medicine. 83 , p. 1429-1441 13 p.

Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network

Dinkla Anna M, Florkow Mateusz C, Maspero Matteo, Savenije Mark H F, Zijlstra Frank, Doornaert Patricia A H, van Stralen Marijn, Philippens Marielle E P, van den Berg Cornelis A T, Seevinck Peter R sep 2019, In: Medical Physics. 46 , p. 4095-4104 10 p.

Synthetic CT generation for Head and Neck radiotherapy by a 3D convolutional neural network

Dinkla A., Florkow M., Maspero M., Savenije M., Zijlstra F., Doornaert P., Van Stralen M., Philippens M., Seevinck P., Van den Berg N. apr 2019, In: Radiotherapy and Oncology. 133 , p. S268-S269

The impact of MRI-CT registration errors on deep learning-based synthetic CT generation

Florkow Mateusz C., Zijlstra Frank, Kerkmeijer Linda G.W., Maspero Matteo, Van Den Berg Cornelis A.T., Van Stralen Marijn, Seevinck Peter R. 1 jan 2019,

CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network

Zijlstra F., Willemsen K., Florkow M. C., Sakkers R. J.B., Weinans H. H., Van Der Wal B. C.H., Van Stralen M., Seevinck P. R. 1 jan 2019,

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