Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Florence Marie Muller

Faculty of Engineering and Architecture > Department of Electronics and information systems

Work address: Technologiepark Zwijnaarde 126
9052 Zwijnaarde
Email: FlorenceMarie.Muller@UGent.be
ORCID iD: 0000-0001-5287-7355

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- Journal Article
- open access
Dose reduction and image enhancement in micro‐CT using deep learning

Florence Marie Muller (UGent) , Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2023) Medical Physics.
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- Conference Paper
Deep Learning based Image Enhancement for Sub-1MBq/Sub-1min 18F-FDG Total Body PET Mouse Imaging

Florence Marie Muller (UGent) , Boris Vervenne, Jens Maebe (UGent) , Joel Karp, Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2023)
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- Conference Paper
- open access
The Impact of Single versus Mixed Noise Level used in Training Images for AI-based Denoising Algorithms in Micro-CT

Florence Marie Muller (UGent) , Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2023)
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- Conference Paper
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Walk-through total body PET : very efficient patient throughput and detector usage with low-cost monolithic high-resolution flat panel detectors

Jens Maebe (UGent) , Florence Marie Muller (UGent) , Nadia Withofs, Maya Abi Akl (UGent) , Meysam Dadgar (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022)
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- Conference Paper
- C3
- open access
Walk-through flat panel total body PET design for efficient patient throughput

Jens Maebe (UGent) , Florence Marie Muller (UGent) , Nadia Withofs, Meysam Dadgar (UGent) , Maya Abi Akl (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) 20th National Day of Biomedical Engineering, Abstracts.
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- Conference Paper
- C3
- open access
Walk-through total body PET : very efficient patient throughput and detector usage with low-cost monolithic high-resolution flat panel detectors

Florence Marie Muller (UGent) , Jens Maebe (UGent) , Nadia Withofs, Maya Abi Akl (UGent) , Meysam Dadgar (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
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- Conference Paper
- C3
- open access
Dose reduction and image enhancement in micro-CT using deep learning

Florence Marie Muller (UGent) , Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference, Abstracts.
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- Conference Paper
- C3
- open access
Walk-through flat panel total body PET : a novel scanner design for efficient patient throughput and detector usage

Jens Maebe (UGent) , Florence Marie Muller (UGent) , Nadia Withofs, Maya Abi Akl (UGent) , Meysam Dadgar (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) 20th National Day on Biomedical Engineering, Abstracts.
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- Conference Paper
- C3
- open access
Dose reduction and image enhancement in preclinical mouse imaging using deep learning

Florence Marie Muller (UGent) , Boris Vervenne, Jens Maebe (UGent) , Christian Vanhove (UGent) and Stefaan Vandenberghe (UGent)

(2022) 20th National Day on Biomedical Engineering, Abstract Book.
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- Conference Paper
- C3
- open access
Efficient patient throughput and detector usage in low cost efficient monolithic high resolution walk-through flat panel total body PET

Stefaan Vandenberghe (UGent) , Maya Abi Akl (UGent) , Nadia Withofs, Florence Marie Muller (UGent) , Jens Maebe (UGent) , Meysam Dadgar (UGent) , Song Xue, Kuangyu Shi, Giancarlo Sportelli and Nicola Belcari

(2022) Total-Body PET 2022, Abstracts. p.28-29

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