prof. dr. Stefaan Vandenberghe
- ORCID iD
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0000-0002-2377-3968
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Monte Carlo simulation of a low-cost total-body PET scanner design based on flat-panels with monolithic detectors
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- Conference Paper
- C3
- open access
Deep learning based sinogram inpainting of sparse-view (rectangular) CT data
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- Journal Article
- A1
- open access
Impact of deep learning denoising on kinetic modelling for low-dose dynamic PET : application to single- and dual-tracer imaging protocols
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- Conference Paper
- C3
- open access
Deep learning for denoising and super- resolution in low-resolution micro-MRI for mouse imaging : achieving shorter scan times
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- Conference Paper
- C3
- open access
Object-based phantom training for deep learning denoising of micro-CT scans : a comparison with mouse image-based models
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The effect of depth-of-interaction and missing projection angles on spatial resolution and elongation effects in a dual-panel pet system
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Performance characteristics of multi-mouse imaging on monolithic large flat-panel PET
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Development of a cost-effective long-axial field-of view walk-through PET scanner : challenges and work in progress
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Walk-through PET : patient-centered and cost-effective long axial field-of-view PET imaging system
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- Conference Paper
- C3
- open access
Enhancing low-resolution micro-MRI in mouse imaging through deep learning-based denoising and super-resolution for reduced scan times