Ghent University Academic Bibliography

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- Conference Paper
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Sub-5-minute denoised PET imaging of indeterminate renal masses using 89Zr-DFO-Girentuximab : a feasibility study

Florence Marie Muller (UGent) , Margaret E Daube-Witherspoon, Michael J Parma, Joel S Karp and Philipose G Mulugeta

(2026) American Urological Association Annual Meeting, abstracts. In JOURNAL OF UROLOGY 215(5S). p.e190-e190
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- Journal Article
- A1
- open access
Realization of long axial field-of-view PET technology in the clinic and research environment

Florence Marie Muller (UGent) , Margaret E Daube-Witherspoon, Elizabeth J Li, Austin R Pantel and Joel S Karp

(2026) BRITISH JOURNAL OF RADIOLOGY.
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Combined long axial field-of-view PET and spectral CT to enable innovative scan protocols for improved quantification in oncology

Austin R Pantel, Elizabeth J Li, Florence Marie Muller (UGent) , Peter B Noël and Joel S Karp

(2024) RSNA (Radiological Society of North America) Annual Meeting 2024 : Building Intelligent Connections, Abstracts.
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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

Florence Marie Muller (UGent) , Elizabeth J Li, Margaret E Daube-Witherspoon, Austin R Pantel, Christian Vanhove (UGent) , Stefaan Vandenberghe (UGent) and Joel S Karp

(2024) Total Body PET 2024, Abstracts.
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- Conference Paper
- C3
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Multi-model spectral CT/PET dynamic phantom for flow quantification

Elizabeth J Li, Michael J Geagan, Sophie Lammers, Austin R Pantel, Florence Marie Muller (UGent) , Peter B Noël and Joel S Karp

(2024) JOURNAL OF NUCLEAR MEDICINE. In Journal of Nuclear Medicine 65(supplement 2).
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- Conference Paper
- C3
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Deep learning enabled CT-less attenuation and scatter correction for multi-tracer whole-body PET imaging

Florence Marie Muller (UGent) , Margaret E Daube-Witherspoon, Michael J Parma, Christian Vanhove (UGent) , Stefaan Vandenberghe (UGent) , Peter B Noël and Joel S Karp

(2024) JOURNAL OF NUCLEAR MEDICINE. In Journal of Nuclear Medicine 65(supplement 2).
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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

Florence Marie Muller (UGent) , Elizabeth J Li, Margaret E Daube-Witherspoon, Christian Vanhove (UGent) , Stefaan Vandenberghe (UGent) , Austin R Pantel and Joel S Karp

(2024) JOURNAL OF NUCLEAR MEDICINE. In Journal of Nuclear Medicine 65(supplement 2).
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Different deep learning training strategies for attenuation and scatter correction in PET

Florence Marie Muller (UGent) , Margaret E Daube-Witherspoon, Michael J Parma, Christian Vanhove (UGent) , Stefaan Vandenberghe (UGent) , Peter B Noël and Joel S Karp

(2024) PSMR2024, 10th Conference on PET, SPECT and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging, Proceedings.
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- Conference Paper
- C3
Walk-through flat-panel total-body PET : system design simulations, deep learning and prototype measurements

Stefaan Vandenberghe (UGent) , Jens Maebe (UGent) , Meysam Dadgar (UGent) , Maya Abi Akl (UGent) , Florence Marie Muller (UGent) , Nadia Withofs, Boris Vervenne (UGent) , Rabia Aziz (UGent) , Christian Vanhove (UGent) and Joel S Karp

(2024) EANM 2024 : the 37th Annual Congress of the European Association of Nuclear Medicine, Abstracts.
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- Conference Paper
- C1
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CT scout scans with deep learning for ultra-low dose attenuation correction in PET

Florence Marie Muller (UGent) , Margaret E Daube-Witherspoon, Leening P Liu, Michael J Parma, Amy E Perkins, Elizabeth J Li, Austin R Pantel, Peter B Noël, Christian Vanhove (UGent) , Stefaan Vandenberghe (UGent) , et al.

(2024) 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). p.1-2

Academic Bibliography

Sub-5-minute denoised PET imaging of indeterminate renal masses using 89Zr-DFO-Girentuximab : a feasibility study

Realization of long axial field-of-view PET technology in the clinic and research environment

Combined long axial field-of-view PET and spectral CT to enable innovative scan protocols for improved quantification in oncology

Deep learning denoising in Patlak parametric imaging of low-dose dynamic 18F-FDG data using PennPET Explorer

Multi-model spectral CT/PET dynamic phantom for flow quantification

Deep learning enabled CT-less attenuation and scatter correction for multi-tracer whole-body PET imaging

Deep learning denoising for low-dose dual-tracer protocol with 18F-FGln and 18F-FDG in breast cancer imaging

Different deep learning training strategies for attenuation and scatter correction in PET

Walk-through flat-panel total-body PET : system design simulations, deep learning and prototype measurements

CT scout scans with deep learning for ultra-low dose attenuation correction in PET

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