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dr. M. (Matteo) Maspero Researcher/Postdoc

  • Computational Imaging

M. Maspero

Contact

Research Programs

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 (19)

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.

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 feb 2020, In: Magnetic Resonance in Medicine. 83 , p. 695-711 17 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 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.

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

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

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,

Feasibility of magnetic resonance imaging-only rectum radiotherapy with a commercial synthetic computed tomography generation solution

Maspero M, Tyyger Marcus D, Tijssen HN, Seevinck PR, Intven MPW, van den Berg CAT 2 okt 2018, In: Physics and Imaging in Radiation Oncology. 7 , p. 58-64 7 p.

Magnetic Resonance Imaging only Workflow for Radiotherapy Simulation and Planning in Prostate Cancer

Kerkmeijer LGW, Maspero M, Meijer GJ, van der Voort van Zyp JRN, de Boer JCJ, van den Berg CAT 21 sep 2018, In: Clinical Oncology. 30 , p. 692-701 10 p.

All Research Output (19)
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