Florence Marie Muller
- ORCID iD
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0000-0001-5287-7355
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Combined long axial field-of-view PET and Spectral CT to enable innovative scan protocols for improved quantification in oncology
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- Journal Article
- A1
- open access
Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking
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- Conference Paper
- C1
- open access
CT scout scans with deep learning for ultra-low dose attenuation correction in PET
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CT-guided deep learning denoising of low-dose micro-PET forintraoperative breast cancer specimen imaging
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Walk-through flat-panel total-body PET : system design simulations, deep learning and prototype measurements
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- Conference Paper
- C3
- open access
Deep learning denoising in Patlak parametric imaging of low-dose dynamic 18F-FDG data using PennPET Explorer
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- Conference Paper
- C3
- open access
Exploring motion patterns of subjects on a mock-up walk-through total body PET using infrared localization
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- Conference Paper
- C3
- open access
Deep learning denoising for low-dose dual-tracer protocol with 18F-FGln and 18F-FDG in breast cancer imaging
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- Conference Paper
- C3
- open access
Deep learning enabled CT-less attenuation and scatter correction for multi-tracer whole-body PET imaging
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- Conference Paper
- C3
- open access
Multi-model spectral CT/PET dynamic phantom for flow quantification