Research Explorer

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Onderzoeker

Florence Marie Muller

Publicaties & datasets

Prijzen & Erkenningen

51 Resultaten

2025

Cross-Modality Deep Learning for Micro-SPECT Denoising: Transfer of PET-Trained U-Net and Diffusion Models

Elise TaragolaSara NeytMaya Abi AklBoris VervenneStefaan VandenbergheChristian VanhoveFlorence Marie Muller

Deep learning based sinogram inpainting of sparse-view (rectangular) CT data

Robine JanssenBoris VervenneFlorence Marie MullerAugust BlomgrenKuangyu ShiMaya Abi AklJens MaebeChristian VanhoveStefaan Vandenberghe

Deep learning for denoising and super- resolution in low-resolution micro-MRI for mouse imaging : achieving shorter scan times

Niels VerhelstJoran CourtensBoris VervenneMaya Abi AklJens MaebeMelissa LajtosStefaan VandenbergheChristian VanhoveFlorence Marie Muller

Deep Learning-based Attenuation Correction in TOF-PET using Histo-Image Data Partitioning and Dual-View Scout Images

Florence Marie MullerMargaret E Daube-WitherspoonMichael J ParmaSamuel MatejJuhi RajPeter B NoëlChristian VanhoveStefaan VandenbergheJoel S Karp

Deep Learning-Based Sinogram Inpainting for a Sparse-View Rectangular CT System Integrated with a Dual-Flat Panel PET system

Robine JanssenBoris VervenneFlorence Marie MullerKuangyu ShiChristian VanhoveStefaan Vandenberghe

Evaluating motion patterns for upright patient positioning in the walk-through PET : a clinical study

Rabia AzizNadia WithofsFlorence Marie MullerJens MaebeBoris VervenneChristian VanhoveStefaan Vandenberghe

Impact of deep learning denoising on kinetic modelling for low-dose dynamic PET : application to single- and dual-tracer imaging protocols

Florence Marie MullerElizabeth J. LiMargaret E. Daube-WitherspoonAustin R. PantelCorinde E. WiersJacob G. DubroffChristian VanhoveStefaan VandenbergheJoel S. Karp

A1 Artikel in een tijdschrift in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Motion study on upright patient positioning in walk-through PET : evaluation in a clinical setting

Rabia AzizFlorence Marie MullerNadia WithofsJens MaebeMeysam DadgarBoris VervenneYves D'AsselerChristian VanhoveStefaan Vandenberghe

A1 Artikel in een tijdschrift in EJNMMI PHYSICS

Object-based phantom training for deep learning denoising of micro-CT scans : a comparison with mouse image-based models

Jarne DevosRuben DefoortNiels VerhelstJoran CourtensBoris VervenneMaya Abi AklJens MaebeStefaan VandenbergheChristian VanhoveFlorence Marie Muller

Sensitivity-Weighting Methods in Reconstruction and Denoising for Axially Sparse Long Axial Field-of-View PET: A Lesion Embedding Study

Florence Marie MullerMargaret E Daube-WitherspoonSuleman SurtiBing DaiMin GaoChristian VanhoveStefaan VandenbergheJoel S Karp

Two Deep Learning-Based Approaches to Obtain Attenuation Maps in Dual Flat-Panel PET

Boris VervenneRobine JanssenAlexander RogiersFlorence Marie MullerKuangyu ShiMaya Abi AklJens MaebeChristian VanhoveStefaan Vandenberghe

2024

A micro-CT deep learning image denoising network trained on phantom objects

Jarne DevosRuben DefoortNiels VerhelstJoran CourtensBoris VervenneMaya Abi AklJens MaebeStefaan VandenbergheChristian VanhoveFlorence Marie Muller

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

Austin R PantelElizabeth J LiFlorence Marie MullerPeter B NoëlJoel S Karp

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

Florence Marie MullerMargaret E Daube-WitherspoonLeening P LiuMichael J ParmaAmy E PerkinsElizabeth J LiAustin R PantelPeter B NoëlChristian VanhoveStefaan Vandenberghe et al.

CT-guided deep learning denoising of low-dose micro-PET forintraoperative breast cancer specimen imaging

Emile BalotLuna MarisFlorence Marie MullerVincent KeeremanStefaan VandenbergheChristian Vanhove

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

Florence Marie MullerElizabeth J LiMargaret E Daube-WitherspoonChristian VanhoveStefaan VandenbergheAustin R PantelJoel S Karp

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

Florence Marie MullerElizabeth J LiMargaret E Daube-WitherspoonAustin R PantelChristian VanhoveStefaan VandenbergheJoel S Karp

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

Florence Marie MullerMargaret E Daube-WitherspoonMichael J ParmaChristian VanhoveStefaan VandenberghePeter B NoëlJoel S Karp

Deep learning image denoising for a cost-effective WT-PET design with sparse detector coverage

Maya Abi AklFlorence Marie MullerJens MaebeMeysam DadgarOthmane BouhaliStefaan Vandenberghe

Development of a cost-effective long-axial field-of view walk-through PET scanner : challenges and work in progress

Boris VervenneMaya Abi AklJens MaebeRabia AzizNadia WithofsMeysam DadgarThibault D'HulsterFlorence Marie MullerChristian VanhoveStefaan Vandenberghe

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

Florence Marie MullerMargaret E Daube-WitherspoonMichael J ParmaChristian VanhoveStefaan VandenberghePeter B NoëlJoel S Karp

Enhancing low-resolution micro-MRI in mouse imaging through deep learning-based denoising and super-resolution for reduced scan times

Joran CourtensNiels VerhelstBoris VervenneMaya Abi AklJens MaebeMelissa LajtosStefaan VandenbergheChristian VanhoveFlorence Marie Muller

Exploring motion patterns of subjects on a mock-up walk-through total body PET using infrared localization

Rabia AzizJens MaebeBoris VervenneFlorence Marie MullerNadia WithofsStefaan Vandenberghe

Image denoising of low-dose PET mouse scans with deep learning : validation study for preclinical imaging applicability

Florence Marie MullerBoris VervenneJens MaebeEric BlankemeyerMark A. SellmyerRong ZhouJoel S. KarpChristian VanhoveStefaan Vandenberghe

A1 Artikel in een tijdschrift in MOLECULAR IMAGING AND BIOLOGY

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

Elizabeth J LiMichael J GeaganSophie LammersAustin R PantelFlorence Marie MullerPeter B NoëlJoel S Karp

Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking

Rabia AzizJens MaebeFlorence Marie MullerYves D'AsselerStefaan Vandenberghe

A1 Artikel in een tijdschrift in EJNMMI PHYSICS

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

Stefaan VandenbergheJens MaebeMeysam DadgarMaya Abi AklFlorence Marie MullerNadia WithofsBoris VervenneRabia AzizChristian VanhoveJoel S Karp

Walk-through PET : patient-centered and cost-effective long axial field-of-view PET imaging system

Maya Abi AklBoris VervenneJens MaebeMeysam DadgarFlorence Marie MullerRabia AzizThibault D'HulsterNadia WithofsChristian VanhoveStefaan Vandenberghe

2023

Comparison between LYSO or BGO and full or sparse detector coverage for Walk-Through flat panel Total Body PET

Jens MaebeMaya Abi AklMeysam DadgarFlorence Marie MullerStefaan Vandenberghe

Cost-effective total-body PET with axial and transverse gaps

Min GaoFlorence Marie MullerMargaret E. Daube-WitherspoonJoel S. KarpSuleman Surti

Deep learning based image enhancement for sub-1MBq/sub-1min 18F-FDG total body PET mouse imaging

Florence Marie MullerBoris VervenneJens MaebeJoel KarpChristian VanhoveStefaan Vandenberghe

Deep learning dose reduction strategies for attenuation correction in PET imaging

Florence Marie MullerJiapeng ChenMargaret E Daube-WitherspoonElizabeth J LiNadav ShapiraMichael J ParmaChristian VanhoveStefaan VandenberghePeter NoëlJoel S Karp

Deep learning image denoising in PET : quantitative impact on kinetic modeling and clinical metrics

Florence Marie MullerElizabeth J. LiMin GaoAustin R. PantelMichael J. ParmaSuleman SurtiChristian VanhoveStefaan VandenbergheMargaret E. Daube-WitherspoonJoel S. Karp

Deep learning image denoising in PET : quantitative impact on kinetic modelling and clinical metrics

Florence Marie MullerElizabeth J. LiMin GaoAustin R. PantelMichael J. ParmaSuleman SurtiChristian VanhoveStefaan VandenbergheMargaret E. Daube-WitherspoonJoel S. Karp

Design and development of a cost-efficient Walk-Through PET scanner for high throughput and high-resolution imaging

Maya Abi AklFlorence Marie MullerJens MaebeBoris VervenneMeysam DadgarNadia WithofsChristian VanhoveStefaan Vandenberghe

Dose reduction and image enhancement in micro‐CT using deep learning

Florence Marie MullerJens MaebeChristian VanhoveStefaan Vandenberghe

A1 Artikel in een tijdschrift in MEDICAL PHYSICS

The impact of single versus mixed noise level used in training images for AI-based denoising algorithms in micro-CT

Florence Marie MullerJens MaebeGonçalo FerreiraChristian VanhoveStefaan Vandenberghe

Walk-through flat panel total-body PET : a patient-centered design for high throughput imaging at lower cost using DOI-capable high-resolution monolithic detectors

Stefaan VandenbergheFlorence Marie MullerNadia WithofsMeysam DadgarJens MaebeBoris VervenneMaya Abi AklSong XueKuangyu ShiGiancarlo Sportelli et al.

A1 Artikel in een tijdschrift in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Walk-through flat-panel total body PET : system design and comparison of body motion with a standard PET-CT

Florence Marie MullerJens MaebeNadia WithofsStefaan Vandenberghe

2022

Dose reduction and image enhancement in micro-CT using deep learning

Florence Marie MullerJens MaebeChristian VanhoveStefaan Vandenberghe

Dose reduction and image enhancement in micro-CT using deep learning

Florence Marie MullerJens MaebeChristian VanhoveStefaan Vandenberghe

Dose reduction and image enhancement in preclinical mouse imaging using deep learning

Florence Marie MullerBoris VervenneJens MaebeChristian VanhoveStefaan Vandenberghe

Dose reduction and image enhancement in preclinical TB-PET using deep learning

Florence Marie MullerBoris VervenneJens MaebeChristian VanhoveStefaan Vandenberghe

Efficient patient throughput and detector usage in low cost efficient monolithic high resolution walk-through flat panel total body PET

Stefaan VandenbergheMaya Abi AklNadia WithofsFlorence Marie MullerJens MaebeMeysam DadgarSong XueKuangyu ShiGiancarlo SportelliNicola Belcari

Modelling and predictions of time-dependent local stress distributions around cracks under dwell loading in a nickel-based superalloy at high temperatures

Florence Marie MullerChizhou FangHector C. BasoaltoSteve WilliamsPaul Bowen

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF FATIGUE

Performance evaluation of a micro‐CT system for laboratory animal imaging with iterative reconstruction capabilities

Florence Marie MullerChristian VanhoveBert VandeghinsteStefaan Vandenberghe

A1 Artikel in een tijdschrift in MEDICAL PHYSICS

Performance evaluation of the X-CUBE : a micro-CT system for laboratory animal imaging with iterative reconstruction capabilities

Florence Marie MullerChristian VanhoveBert VandeghinsteStefaan Vandenberghe

Performance evaluation of the X-CUBE, a micro-CT system for laboratory animal imaging with iterative reconstruction capabilities

Florence Marie MullerChristian VanhoveBert VandeghinsteStefaan Vandenberghe

Rigid body motion analysis in walk-through total body PET scanner based on real-time motion tracking with cameras : comparative study between free-breathing and breath-hold

Florence Marie MullerJens MaebeMeysam DadgarNadia WithofsChristian VanhoveStefaan Vandenberghe

Walk-through flat panel total body PET : a novel scanner design for efficient patient throughput and detector usage

Jens MaebeFlorence Marie MullerNadia WithofsMaya Abi AklMeysam DadgarChristian VanhoveStefaan Vandenberghe

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

Florence Marie MullerJens MaebeNadia WithofsMaya Abi AklMeysam DadgarChristian VanhoveStefaan Vandenberghe