dr. M. (Matteo) Maspero
Researcher/Postdoc
- Computational Imaging
Contact
Biography
Matteo is currently employed as a clinical scientist /postdoctoral researcher investigating adaptive Radiotherapy, image acquisition/reconstruction and MR-only Radiotherapy with the aid of deep learning.
Background
Matteo is born Como (Italy) in May 1989 and studied Physics at the Insubria University graduating (cum laude) in March 2014. In those years he gained interest in experimental Physics, with a predilection for particle detectors. Following this interest, he had the opportunity to perform profilometry measurements of an anti-proton beam and measure the diameter of the Sun with a pixelated silicon detector and develop a detector for spectral measurements of neutrons produced by an in-hospital linear accelerator.
After getting in touch with the hospital environment and feeling the need of broadening his horizons, he decided to step into the field of medical imaging, where, by chance, detectors are somehow involved. Form May 2014 to May 2018 he was enrolled as a PhD candidate at the Radiotherapy Department of the Universitair Medisch Centrum Utrecht (The Netherlands). During his PhD project, he had the luck to discover the beauty of magnetic resonance imaging in the practical realm of radiotherapy.
Nowadays, medical imaging and Radiotherapy are still Matteo's passions.
Research Output (34)
Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
Savenije Mark, Maspero Matteo, Sikkes Gonda G, van der Voort van Zyp Jochem, Kotte ANTJ, Bol GH, van den Berg CAT 11 mei 2020, In: Radiation Oncology. 15 , p. 104 12 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.
A deep learning method for image-based subject-specific local SAR assessment
Meliadò E F, Raaijmakers A J E, Sbrizzi A, Steensma B R, Maspero M, Savenije M H F, Luijten P R, van den Berg C A T 1 feb 2020, In: Magnetic Resonance in Medicine. 83 , p. 695-711 17 p.
Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks
Eppenhof K A J, Maspero M, Savenije M H F, de Boer J C J, van der Voort van Zyp J R N, Raaymakers B W, Raaijmakers A J E, Veta M, van den Berg C A T, Pluim J P W 26 dec 2019, In: Medical Physics. 47 , p. 1238-1248 11 p.
Soft-tissue prostate intrafraction motion tracking in 3D cine-MR for MR-guided radiotherapy
de Muinck Keizer Daan M, Kerkmeijer Linda G W, Maspero Matteo, Andreychenko Anna, van der Voort van Zyp Jochem R N, Van den Berg Cornelis A T, Raaymakers Bas W, Lagendijk Jan J W, de Boer J C J 5 dec 2019, In: Physics in Medicine and Biology. 64 , p. 235008 12 p.
CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation
Kurz Christopher, Maspero Matteo, Savenije Mark H F, Landry Guillaume, Kamp Florian, Pinto Marco, Li Minglun, Parodi Katia, Belka Claus, Van den Berg Cornelis A T 15 nov 2019, In: Physics in Medicine and Biology. 64
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.
Cone-beam CT intensity correction using a generative adversarial network and unpaired training
Kurz C., Maspero M., Savenije M. H. F., Landry Guillaume, Kamp F., Li M., Parodi K., Belka C., Van den Berg C. A. T. apr 2019, In: Radiotherapy and Oncology. 133 , p. S266-S267
Soft-tissue based on-line prostate motion assessment in 4D Cine-MR for MR-Linac treatments
Keizer D. De Muinck, Kerkmeijer L. G. W., Maspero M., van Zyp J. R. N. Van der Voort, Van den Berg C. A. T., Raaymakers B. W., Lagendijk J. J. W., De Boer H. C. J. apr 2019, In: Radiotherapy and Oncology. 133 , p. S211-S212
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